YC Spring 2026 (P26) companies

9 Mothers builds autonomous counter-drone systems for the U.S. military and its prime contractors, targeting the close-in threat from low-cost FPV suicide drones that legacy systems were not built to handle. Its first product, Edda, is an AI-driven point-defense turret that detects and engages multiple high-speed drones at ranges of 10 to 100-plus meters using passive acoustic and visual targeting, with zero RF emissions. Three additional products covering passive sensing, belt-fed close-range engagement, and Group 2 UAS defeat are in development behind it.

AbInitio Bio builds AI foundation models for biomanufacturing, serving pharmaceutical companies and CDMOs. Its core model, Echo, predicts manufacturing outcomes and compresses process decisions that currently take six to eighteen months down to hours. The platform covers the full development arc, from candidate developability assessment through process development, scale-up, quality, and regulatory evidence assembly, replacing slow manual workflows and disconnected point tools across drug manufacturing operations.

Adialante builds a mobile MRI system that delivers diagnostic-grade cancer screening directly to outpatient clinics, replacing the need for hospital referrals, shielded rooms, and capital equipment purchases. The company redesigned MRI hardware, algorithms, and physics from the ground up so that any clinic, not just large hospital systems, can offer on-site imaging. Starting with prostate cancer, the service brings the full scanning workflow, including engineers and MRI technicians, to the clinic in a mobile unit.

Advanced Metal Research builds robotic welding cells for American manufacturers, combining computer vision with real-time seam tracking and post-weld inspection to automate the full weld cycle. The system replaces skilled manual welders on the shop floor, capturing and applying weld knowledge with each pass rather than depending on a retiring expert workforce. Each cell functions as a closed-loop system that improves continuously from production data.

AgentPhone gives AI agents dedicated phone numbers so they can make calls and send messages to people and businesses. Developers provision US and Canadian numbers in a single API call, with voice and SMS delivered through one unified webhook. The product replaces the manual work of wiring telephony infrastructure into agent pipelines, letting agents take on real-world communication tasks that previously required a human-held phone identity.

AICE builds modular autonomous underwater vehicles for naval fleet defense. The vehicles combine onboard perception, navigation, and coordination to operate where GPS and communications links cannot be assumed, replacing scarce and expensive crewed or tethered underwater platforms. The systems are developed alongside military operators for distributed, persistent coverage of naval assets and coastal infrastructure against underwater threats.

Akkari builds an autonomous customer operations system for B2B companies, covering the full account lifecycle from the first sales call through expansion. It monitors every customer channel, including Slack, email, calls, and Discord, to surface commitments, bugs, requests, and risks, then drives each item to resolution without human prompting. The product replaces the manual coordination work that customer success, sales, and support teams do to track and close open loops across accounts.

Alchemize builds an AI-native customs brokerage for importers. Traditional brokers rely on hand-keyed data entry and slow tariff research, causing shipping delays and unnecessary costs. Alchemize automates that process, handling tariff classification and compliance at software speed instead of manual, human-paced workflows.

Allowance builds a payment control layer for AI agents, letting them complete purchases on a user's behalf without exposing a real card number. For each transaction, the agent proposes a purchase and the user approves it from their iPhone, setting constraints such as spending limits, merchant restrictions, and expiration windows. Allowance then generates a scoped, single-use payment credential tied to that specific transaction, replacing the need to hand an AI agent open-ended access to payment credentials.

Amboras builds an AI-native e-commerce platform that generates a full Shopify-style storefront from a text prompt, then runs it autonomously: editing layouts, managing products and orders, running A/B tests, and reading first-party analytics without developer or agency involvement. It targets independent entrepreneurs and small online retailers who would otherwise piece together a store builder, a design agency, an analytics tool, and a testing suite. The platform replaces that entire stack with a single prompt-driven system.

Andco builds AI agents that handle the document work required to open a personal injury case at plaintiff law firms. The agents retrieve police reports, medical records, bills, and accident reports, open insurance claims, and organize everything into a structured case workup, replacing the manual chasing and coordination that paralegals and staff otherwise do between intake and demand.

Andustry brokers industrial equipment and parts for manufacturers whose procurement teams lack the bandwidth to source across multiple regions and supplier tiers. It replaces the fragmented chain of regional brokers, distributors, and agents by running AI-assisted supplier discovery across Europe, China, India, and the US, then hand-qualifying every shortlisted vendor and delivering a single, side-by-side quote comparison through to contract close.

ANORIA builds a wearable device that reads the wearer's emotions in real time, identifies the source of those emotional states, and delivers actionable guidance to develop emotional intelligence. The product targets consumers who want to improve how they connect and collaborate with others. It replaces the guesswork of self-reflection with a continuous, sensor-driven feedback loop for emotional awareness.

Apollo Atomics, Inc. builds compact nuclear reactors designed to deliver electricity at high power density with fully passive safety systems. The reactors draw on commercial-grade nuclear fuel and decades of operating experience, packaged into a steam system small enough to deploy in under 24 months. The product targets industrial and grid customers who currently rely on larger, slower-to-deploy generation capacity.

AquaShield detects water leaks in commercial buildings before they cause structural damage, serving real estate portfolio owners who manage the financial risk of large-scale water loss. Non-invasive sensors attach to existing pipes without cutting or retrofitting, and an AI layer learns normal flow patterns to flag anomalies in real time, replacing reactive damage control with continuous, automated monitoring.

Ara builds a cloud-based autonomous coding agent for software teams. It monitors work in progress, breaks down tasks, and executes them end-to-end using its own compute environment, background agents, persistent memory, and reusable skills. It replaces the manual handoff loop between developers and AI coding tools by planning, acting, and learning continuously inside the browser.

Archer builds payment and banking infrastructure for AI data platforms: data marketplaces, labeling platforms, and reinforcement learning environment providers. It handles global contributor payouts, stablecoin accounts, and yield on idle treasury balances, replacing the slow and fragmented payment rails these platforms otherwise stitch together. The immediate beneficiary is the distributed workforce of annotators, validators, and data generators that frontier AI labs depend on for training data.

Arctic Health handles provider credentialing and payer contracting for healthcare organizations, from collecting and validating provider data to submitting applications and monitoring enrollment status across payer networks. It covers the full workflow, including CAQH management, contract negotiation, re-credentialing, and multi-state licensure, for clinics and health systems of any size. The work it replaces is a fragmented, manual process that delays providers from reaching in-network status and generating revenue.

Arden builds an AI platform for internal audit and SOX compliance teams at public companies. Its agents pull evidence from existing systems, test controls end-to-end, and generate audit-ready workpapers, replacing the manual spreadsheet and screenshot workflows that auditors currently use to meet SOX requirements.

Ardent builds database cloning infrastructure for coding agents working against Postgres. It creates a full, isolated copy of any production Postgres database in under six seconds, regardless of size, so agents can run and verify code against real data before it touches production. The product replaces slow, storage-heavy traditional replicas and the manual database management that comes with them.

Arga Labs builds sandbox environments for testing AI agents before they touch production systems. Engineering teams deploy their agents against stateful replicas of external services, including Slack, GitHub, Stripe, Gmail, and dozens more, using the same APIs, SDKs, and MCP tool calls as the real thing. The product replaces manual integration testing and risky production experiments by letting teams spin up thousands of parallel sandbox instances, seed them with natural language, and observe real agent behavior across complex, multi-service workflows.

Arlo Industries builds a decentralized mesh of passive sensors that track drones and missiles in three dimensions without emitting radio frequency signals. The system targets militaries and defense operators who need wide-area aerial surveillance but cannot rely on traditional radar, which broadcasts its position, covers limited ground, and costs far more to scale. Each additional node adds linearly to cost while compounding tracking accuracy, replacing centralized, radar-dependent air defense architectures.

Armature helps software tool and API companies get discovered, adopted, and correctly used by coding agents such as Claude Code, Codex, and Cursor. It tests how agents find and select tools across a panel of real-world repositories, traces what the agent reasoned through and where it went wrong, and benchmarks a product's standing against competitors. It replaces manual guesswork about agent behavior with instrumented sessions, automated remediation, and a dedicated growth service that works with the customer's team to move from ignored to recommended.

Arzana builds AI agents that automate the back-office work inside manufacturing companies: quoting incoming RFQs, entering purchase orders into an ERP, processing invoices, and prospecting for new customers. Each deployment trains on a specific shop's historical jobs, cost models, and tribal knowledge, so the agents handle work that previously required dedicated office staff. The company plans to extend from office automation into direct control of shop-floor machinery and robots.

Asendia AI builds AI recruiting agents for staffing agencies, handling the full top-of-funnel workflow that human recruiters otherwise run manually. For each new requisition, the agents source candidates, conduct screening calls, follow up over phone, SMS, WhatsApp, and email, and deliver ranked shortlists, all before a recruiter touches the role. The work it replaces is the time-intensive sourcing and screening cycle that determines which agencies win on speed.

Aseon Labs builds robotic micro-depots that charge, clean, and inspect autonomous vehicle fleets directly inside their operating zones. Today, self-driving car operators run every vehicle back to a centralized depot multiple times a day for routine servicing, a human-dependent process that cuts uptime and drives up operating costs. Aseon's pod-based infrastructure replaces those depot trips with on-site, automated service stations deployed where the fleet actually operates.

Aster builds autonomous research systems that run thousands of AI agents in parallel to conduct open-ended scientific research. It targets technology discovery cycles that currently take years, compressing that work into hours. Rather than answering predefined questions, the system formulates its own research problems and pursues them end-to-end, replacing the iterative human-driven experimentation loop.

Astraea automates clinical trial biometrics for Phase II/III pharma and biotech sponsors, taking studies from raw data inputs to FDA-ready submission packages. The platform covers SDTM and ADaM dataset generation, Define-XML, tables/figures/listings, QC, and revision workflows in a single auditable pipeline, replacing months of manual statistical programming and data management work done by CROs or in-house biometrics teams.

Atrisa builds an AI agent for analog circuit design, targeting hardware engineering teams. The agent handles circuit design, simulation, and debugging in a continuous loop, replacing the serial, manual process of switching between tools and passing work between steps. Engineers set a design goal once and Atrisa carries it through to a verified result, letting a single engineer cover work that would otherwise require a full team.

Autostep maps how work actually happens across a company, measures the dollar cost of each task, and ranks bottlenecks by impact and ease of fix. It then acts on those findings by building agents inside existing tools, redesigning processes, or recommending the right software. The product targets B2B teams doing repetitive knowledge work, replacing manual process audits and ad-hoc automation efforts.

Auxos builds AI-powered digital twins of a company's real customers, letting marketing, product, and research teams run surveys, focus groups, and concept tests against a simulated audience instead of recruiting and moderating live panels. Auxos interviews real people who match a client's ideal customer profile to ground each twin in an actual respondent, then makes that panel available on demand. The product replaces traditional market research that takes weeks and significant budget, cutting the cycle to minutes for day-to-day decisions on pricing, positioning, and product direction.

Avea Robotics builds Sentinel, a remote operations platform for robotics companies deploying robots in the field. Sentinel lets operators monitor, teleoperate, and recover robots in real time over Wi-Fi or LTE, handling the gap between full autonomy and guaranteed uptime. When a robot fails mid-task, Sentinel alerts a human operator, hands over control, and returns the robot to autonomous operation once the edge case is resolved, replacing ad-hoc manual recovery and fragmented fleet tooling.

BentoLabs AI builds production infrastructure for teams running long-running AI agents. It detects silent failures, behavioral drift, and broken tool contracts in real time, pinpoints root cause across traces, and surfaces prompt, skill, or harness fixes so teams can correct and improve agents without manual triage. It replaces the scattered combination of separate observability, evaluation, and debugging tools that today leave agents opaque and regressions undetected until users surface them.

BioStack Platforms builds a data engine for healthcare and drug discovery AI, serving AI labs and biotech startups that need high-quality, ML-ready training data. It sources and structures longitudinal, multimodal clinical and preclinical data, covering EHR, imaging, ECGs, lab results, notes, and patient outcomes, then packages it into post-training and reinforcement learning environments. The product replaces the slow, expensive process of assembling fragmented biomedical data from hospitals, labs, and CROs into usable form.

Bloom turns a brand's existing assets, guidelines, and files into a structured, callable system that AI agents and products can reference when generating content. Teams feed in sources ranging from PDFs and Figma files to social profiles and websites, and Bloom extracts the brand's visual identity, voice, and tone into shared context. The product replaces manual brand enforcement and ad-hoc asset hand-offs that break down when multiple agents or tools produce output independently.

Callab AI builds AI voice agents that plug directly into on-premises PBX systems, including Avaya, Cisco UCM, and Mitel, automating inbound call volume without replacing existing infrastructure. Call centers running legacy telephony have had no path to voice AI short of a full migration; Callab eliminates that barrier. Customers include large consumer brands across multiple continents.

CentralComs builds AI agents for trades businesses, such as HVAC, plumbing, and electrical contractors, that answer inbound calls and texts, book jobs using the company's own pricing and scheduling rules, and follow up on open quotes. The agents cover after-hours and busy-phone gaps that would otherwise mean missed bookings, replacing the work of a live dispatcher or answering service.

CharacterQuilt builds AI agents that take a campaign brief and handle every step from audience segmentation to creative production to deployment across tools like HubSpot, LinkedIn, and WordPress. It serves B2B and B2C marketing teams whose campaign work is dominated by manual ops across Pardot, Marketo, and similar platforms. The product replaces the multi-agency, multi-week process of configuring, designing, and launching campaigns.

Chert builds programmable iMessage infrastructure for businesses that need to automate customer conversations at scale. It gives B2C startups, customer experience teams, and sales teams the ability to run AI-driven or human-assisted threads over native blue-bubble iMessage, replacing generic SMS blasts and disconnected chat tools. The platform handles delivery, typing indicators, read receipts, multi-recipient threads, file attachments, and SMS/RCS fallback in a single API-accessible layer.

Chronicle Labs builds a testing and validation platform for enterprise AI agents. It captures real production traffic, maps the workflows and edge cases that agents actually encounter, and replays those scenarios before deployment, replacing manual workflow mapping and reactive debugging after failures reach users.

Cignara builds AI voice and chat agents for Fortune 500-scale enterprises, replacing legacy IVR menus and static FAQs with agents that reason on customer data and take real actions inside existing IT systems. The agents handle inbound and outbound conversations across sales and support, turning interactions that previously generated only service costs into transactions that drive revenue. A human-assist copilot layer also supports live agents with real-time transcription and next-best-action suggestions.

Clara delivers AI-powered primary care and longevity medicine, replacing the traditional doctor's office for patients who want continuous, data-informed care. The AI ingests a patient's full medical history, labs, prescriptions, and wearable data to surface trends and drive actions like medication refills and lab orders. Board-certified clinicians review and approve every recommendation before it reaches the patient.

Clawvisor builds an authorization layer that controls what AI agents can access when they operate tools like Gmail, Slack, and Google Drive. Instead of handing agents broad account credentials or approving every individual action, a user approves the task once and Clawvisor enforces need-to-know access on each request, revoking it when the work is done. It replaces the manual credential-sharing and over-permissioned OAuth and MCP setups that teams use today to run agents on their SaaS accounts.

Cohesion builds AI agents that monitor earnings data and non-traditional sources, such as podcasts and social media, on behalf of hedge fund analysts. Analysts currently spend hours each week manually combing these sources and still miss relevant signals. Cohesion's agents replace that manual tracking by running it autonomously and surfacing the findings directly to the investment team.

Complir builds an AI compliance platform for retailers and brands that sell physical products across multiple markets. Its AI agents translate product data into the required regulatory documentation, risk assessments, labels, and declarations of conformity for each market, replacing the manual compliance work that typically bottlenecks international launches. When regulations change, Complir re-runs assessments and flags affected SKUs down to the individual product level, keeping entire catalogues audit-ready.

Context.dev builds a web data API for AI agents and LLMs, giving them real-time access to scraped pages, crawled sites, structured search results, and live web monitors. Developers integrate a single API instead of building and maintaining their own scraping infrastructure. Customers including AI chatbot platforms, documentation tools, and research products use it to ground their agents and RAG pipelines in fresh, accurate web content.

Dayjob builds an AI scheduling agent for waste management companies that operate short-haul truck fleets. It connects directly to a company's existing job booking system and telematics, then continuously re-optimises driver routes in real time as new jobs arrive, drivers change, or exceptions occur. The product replaces manual planning by transport managers who currently spend hours building schedules by hand.

Deep Interactions builds a collaborative AI product builder for B2B teams, replacing the fragmented cycle of disconnected prototypes, manual handoffs, and context loss that plagues multi-stakeholder software projects. It ingests business goals, design decisions, and technical constraints from across a team, then scopes, builds, and deploys a production-ready AI product within the same working day. The target is any team where founders, designers, engineers, and operators need to ship together rather than serially.

Discovered Materials builds AI agents that discover new materials for semiconductor chips, targeting datacenters and fabrication plants. Heat dissipation and power consumption in AI chips are hitting the limits of current materials, and finding replacements through conventional lab work takes a decade or more. The agents compress that process from years to months, replacing the slow cycle of interdisciplinary research, simulation, synthesis, and testing that chipmakers and chemical suppliers run today.

Dispatch builds reusable reentry vehicles that carry payloads to orbit and return them to Earth, serving manufacturers of semiconductors, pharmaceuticals, and biological materials that require microgravity or space conditions to produce. Its first vehicle, Spark-1, handles payloads up to 30 kg and keeps them on orbit for up to 180 days, replacing the current dead end of having no practical return path for space-manufactured goods. Dispatch also plans autonomous orbital stations to host continuous manufacturing operations serviced by its reentry fleet.

Drafted builds AI-powered home design software for homeowners, families, and design professionals. Users input room requirements, lot boundaries, and square footage constraints to generate floor plans, 3D models, exterior renders, and furnished views, replacing the early-stage drafting work typically done by hand or in CAD. Designs export directly to PDF, AutoCAD DXF, IFC, and Revit for handoff to builders and architects.

Drip builds a lead intelligence and outreach tool for staffing firms. It monitors a firm's existing client network for rehiring signals, identifies new employers that match the firm's placement history, and surfaces each opportunity with the hiring manager's contact and a warm introduction path. Recruiters receive curated leads before roles are posted, replacing manual account monitoring and cold prospecting.

Drip builds a consumer payment product that combines credit with instant Pix transfers, letting Brazilian shoppers pay on credit and earn cashback while merchants receive funds through Pix's existing network. It replaces the traditional credit card stack for everyday purchases, targeting the large share of Brazilian e-commerce already running on Pix. Customers onboard, shop, and manage payments through Drip's own app.

ED1TH builds camera-free AI glasses, called E1O, that put a personal AI assistant directly in the wearer's field of view. The glasses surface email drafts, calendar cues, real-time translation, and updates from coding agents, replacing the need to return to a phone or laptop screen. At 25 grams with all-day battery, they connect through the user's phone and carry no onboard camera.

Eden Robotics deploys semi-humanoid robots in manufacturing and logistics facilities, replacing human labor on repetitive physical tasks. The robots are operated and maintained by Eden, not sold, so customers get autonomous physical agents without capital equipment purchases.

Elyra builds an AI-powered reservations and guest operations platform for restaurants. Voice and email agents answer every inbound inquiry around the clock, replacing the manual work of picking up phones and drafting replies, while a real-time table allocation engine fills seats that would otherwise go empty. The system also maintains per-guest profiles and sends post-visit follow-ups, handling the relationship work that most restaurants drop once a guest leaves.

Enjamb Labs builds an AI agent platform for biopharma teams running drug programs from discovery through FDA approval. Its agents connect to the legacy systems drug teams already use, including Benchling, Veeva, and Medidata, without requiring data migration, and carry out the hands-on work across clinical evidence, trial design, statistical programming, and regulatory submissions. The platform replaces the manual, cross-system coordination that scientists and operations staff perform inside those siloed tools today.

Expanse builds software that recovers wasted GPU capacity on HPC and cloud clusters. Before a job runs, Expanse predicts the exact resources it needs, flags configurations that will cause failure, and surfaces code and config changes researchers can apply themselves. This replaces the manual guesswork engineers use today when sizing training runs, simulations, and inference workloads.

FinalDose builds a programmable DNA-targeting drug designed to seek out and destroy cells based on genetic recognition of disease-causing sequences. A single molecular platform accepts any diseased genetic code as its targeting input, replacing the need for a separate drug candidate for each target. The company is starting with cancer, with the stated goal of reaching the large share of genetic targets that conventional small-molecule and biologic drugs cannot address.

flowscope maps, reengineers, and runs AI agents across B2B companies' back-office and operational processes, covering work like invoice matching, month-end close, employee onboarding, ticket triage, and CRM hygiene. It replaces the manual steps, the human consultants who document them, and the implementation teams who automate them, delivering the full cycle on the systems customers already use.

Foaster deploys AI agents to conduct organization-wide employee interviews, map operational workflows, surface bottlenecks, and produce an AI transformation roadmap, delivering in two weeks what traditional consulting firms take much longer to complete. Human experts review the outputs and feed corrections back into the system, replacing the consultant-heavy model with an agent-first one. The company targets enterprises seeking to understand where AI should change how they operate.

Foresight builds AI-powered simulations of synthetic consumers to help CPG brands run market research before launch. Brand, marketing, and product teams use it to test pricing, packaging, messaging, and creative concepts against psychologically and demographically modeled target audiences. It replaces traditional consumer research methods: surveys, focus groups, and panel studies that take months and cost multiples more per insight.

Framewise Health generates AI-personalized discharge education videos for hospitals, specialty groups, pharma, and private clinics, pulling each patient's diagnosis, medications, allergies, and language preference directly from the EHR via FHIR. Videos are clinician-reviewed, produced in 75-plus languages, and delivered by SMS before the patient leaves the hospital, replacing generic printed discharge instructions and manual translation workflows.

Fuchsia automates hardware compliance for B2B hardware teams, covering certifications such as FCC, CE, UL, and FDA 510(k). Its AI agents map applicable standards to a product, draft the technical documentation testing labs require, and match teams with qualified labs, replacing the manual research and consultant-driven paperwork that stalls procurement and deployment. The result is a traceable, end-to-end compliance workflow that hardware teams can run without external consultants.

General Aviation builds affordable digital air traffic control towers for the roughly 90% of U.S. airports that currently operate without any tower. These smaller airports cannot sustain the cost or staffing of a traditional ATC facility, leaving real safety and efficiency gaps that General Aviation's system addresses. The product replaces the need for a conventionally staffed, physically constructed control tower.

General Instinct deploys frontier AI models on edge devices, letting B2B customers run physical AI workloads directly on local hardware rather than routing them through cloud infrastructure. The product targets any edge device, removing the dependency on specific chips or vendor-locked runtimes that otherwise constrain where AI can operate.

Gigacatalyst embeds an AI layer inside B2B SaaS products that lets end customers build their own dashboards, reports, and workflows by describing what they need in plain English. The agent uses the host product's approved APIs and permissions to generate and deliver those views directly inside the product, under the vendor's brand. Sales and customer-success teams use it to close feature-gap objections and reduce the manual work of scoping and building custom implementations for each account.

Gojiberry AI builds autonomous outbound agents for B2B sales teams. The platform identifies buyers showing purchase intent, enriches their profiles, writes and sends outreach, handles replies, and books qualified meetings, replacing the combination of SDR hires, agencies, and point tools that companies traditionally stitch together. Over time, the system learns which signals, buyers, and messages produce revenue and applies those lessons across customers in similar industries.

GovGuard builds AI agents that automate Freedom of Information Act workflows for local government agencies. The platform routes incoming requests to the right department, searches across email and documents to surface responsive records, flags personally identifiable information and sensitive content for redaction with citations to statutory exemptions, and generates a ready-to-send response letter. It replaces the manual, line-by-line redaction and response-drafting work that public records clerks currently do by hand.

Gravy builds a local-first AI workspace for personal finance that connects bank accounts, cards, and brokerages in one place. Specialized agents categorize transactions, track subscriptions, monitor investments, and organize tax records automatically. The product replaces the manual work of reconciling accounts across apps and hunting for deductions before tax season.

Harbor builds an AI-native contract research organization for drug and device companies running clinical trials. Its electronic data capture platform automates study build, data collection, query generation, monitoring, and database lock, replacing the manual workflows that legacy CROs staff with large service teams. Harbor sells both the software and the surrounding regulated clinical services, from site coordination to data management, that sponsors currently outsource to traditional CROs.

Hedge builds a wholesale insurance brokerage for hard-to-place commercial risks: cat-exposed property, distressed cyber, thin-file professional liability, and similar accounts that retail agents struggle to place. Retail brokers submit a risk and receive a dedicated broker who handles intake, market selection, and quoting from start to close. The product replaces the slow, impersonal submission process typical of traditional wholesale intermediaries.

Hessian builds and operates AI agents that automate business operations for B2B companies. Engineers deploy on-site to map existing workflows, then build and run agents end-to-end on Hessian's own platform, replacing the manual knowledge work that in-house teams cannot scale. The model differs from off-the-shelf automation tools: Hessian owns the software and continues operating it, making it closer to a managed service than a self-serve product.

HEVN, inc gives physical goods exporters and international traders business bank accounts in multiple jurisdictions, including the US, Europe, the UAE, and Latin America, all under a single onboarding. Transfers between those accounts settle in minutes over stablecoin rails rather than through the correspondent-banking chain that makes traditional cross-border wires slow and costly. AI handles payment compliance checks, documentation, and routine paperwork that finance teams currently manage by hand.

Hexa builds AI agents for industrial distributors and manufacturers, automating the sales, procurement, and finance workflows that operations teams handle manually today. Its modules turn inbound RFQs into quotes in seconds, run the full purchasing loop from shortage detection to purchase order, and match invoices to POs line by line, replacing the manual ERP work those tasks require. Customers get purpose-built agents integrated into their existing systems, deployed after Hexa embeds directly with their teams to map workflows.

HeyClicky builds a Mac desktop AI companion that sits beside the cursor and watches the screen in real time. Consumers can ask questions aloud to get step-by-step guidance on whatever they are doing, or trigger a background agent to handle research, building, or other tasks hands-free. The product replaces the friction of copy-pasting into chat interfaces or navigating command-line AI tools.

Hub captures physical, real-world data, including egocentric video, hand tracking, teleoperation trajectories, and synchronized sensor streams, to train embodied AI and robotics models. A global network of contributors collects this data across commercial and residential environments, replacing synthetic generation and public-web scraping with high-fidelity, original captures. Frontier AI labs and leading robotics companies use Hub's annotated, production-ready multimodal datasets where no adequate substitute exists.

Humwork connects AI agents to verified human experts in real time via an MCP server integration. When an agent hits a problem it cannot resolve, such as a tricky bug, a design decision, or a legal question, Humwork routes the request to a matched expert, an engineer, lawyer, designer, or other specialist, in under 30 seconds. The expert sees the agent's full context, delivers a solution, and the agent continues without human intervention in the loop.

Huscarl builds an AI actuary for corporations that self-insure through captive insurance subsidiaries. It delivers feasibility studies, loss reserving, pricing for non-standard and emerging risks, and Statements of Actuarial Opinion, replacing the work traditionally done by external actuarial consultants. The target customer is the captive manager or owner who needs audit-ready actuarial output on a faster cycle than incumbent advisory firms provide.

Huscarl builds an AI actuary for corporations that self-insure through captive insurance subsidiaries. It delivers feasibility studies, loss reserving, pricing for non-standard and emerging risks, and Statements of Actuarial Opinion, replacing the work traditionally done by external actuarial consultants. The target customer is the captive manager or owner who needs audit-ready actuarial output on a faster cycle than incumbent advisory firms provide.

Hyper builds an autonomous operating system for companies, handling the coordination and decision-making work that normally falls on founders and operators. It targets fintech and SaaS businesses, replacing the manual oversight, task routing, and institutional memory that teams otherwise manage by hand.

Hyper builds a shared memory layer for companies that ingests information flowing across internal tools, constructs a self-maintaining knowledge graph, and surfaces that context to AI agents and employees. It replaces the manual work of maintaining wikis, documentation, and institutional knowledge bases. B2B teams use it to make AI agents more accurate and to cut time lost hunting for internal information.

Imperfect builds an AI coaching app for endurance and multisport athletes training toward a specific race or goal. It connects to wearables and health apps to pull real-time body and lifestyle data, then adjusts training, recovery, and nutrition recommendations daily based on how the athlete is actually responding. It replaces static, pre-written training plans that cannot react to illness, missed days, or fluctuating energy.

Incandor builds behavioral intelligence infrastructure for banks and fintech platforms, replacing rules-based fraud detection and black-box risk scoring. It maps how every user physically interacts with a device, capturing mouse dynamics, keystroke timing, scroll patterns, and mobile hold posture, then uses that map to surface account takeovers, coordinated fraud rings, mule handoffs, coerced sessions, and bot activity. Fraud teams query the map directly through a programmable API, with no requirement for prior fraud labels or historical data.

Indexable builds sandbox infrastructure for AI agents, providing virtual machines with full-environment forking and snapshotting across files, processes, memory, and databases. Each machine ships with 100 vCPUs, 256 GiB of memory, and 1 PiB of storage, eliminating the need to select instance sizes. It replaces manual environment provisioning and static VM sizing for teams running AI agents that need isolated, reproducible compute environments.

Infera builds a natural-language operating system for wet labs, letting researchers describe an experiment in plain English and receive a validated, instrument-ready protocol. The system handles protocol logic, vendor-specific scripts, reagent inventory, and institutional knowledge in a single pipeline, replacing the manual work of translating scientific intent into machine-executable runs across existing lab equipment.

InLoop Robotics builds bimanual robotic arms that handle pick, pack, kitting, box assembly, visual inspection, and unpackaging tasks in warehouses and manufacturing facilities, replacing manual fulfillment labor. The system ships into live operations before it is fully optimized: a confidence-aware AI handles tasks autonomously, flags edge cases to remote teleoperators in real time, and feeds every intervention back as training data so accuracy improves continuously with production volume.

InsForge builds a cloud infrastructure platform designed for AI coding agents to operate end to end. Where traditional platforms like AWS, Supabase, or Firebase require human configuration, InsForge exposes its full stack, including auth, Postgres database, edge functions, storage, model gateway, realtime, and compute, through a CLI and agent-readable skills that AI agents can call directly. It replaces the manual DevOps work a developer would otherwise do to wire together and manage these services.

InstaAgent helps consumer brands run personalized paid social campaigns across hundreds of distinct audiences simultaneously on Meta and TikTok. From a single creative brief, it generates audience-specific videos, distributes them across paid channels and niche social accounts, and uses performance data to identify and scale winning variants. It replaces the manual work of briefing, producing, and optimizing separate campaigns for each target persona.

Intelligence Factory builds foundation models for robotic manipulation, giving robots human-level dexterity and reasoning so they can operate reliably in real-world environments like warehouses and data centers. The team collects vision, action, and touch data from human hands, trains hardware-agnostic, force-aware models, and deploys them across different robot bodies through a retargeting process. The work replaces the brittle, task-specific programming that keeps industrial robots below practical success thresholds.

Interfaze builds an AI model on a hybrid architecture that combines specialized DNN/CNN models with transformers to deliver deterministic, high-consistency outputs for tasks such as OCR, structured data extraction, object detection, audio understanding, and classification. It targets developers and engineering teams who need production-grade precision on document, vision, and audio workloads where general-purpose models like GPT, Claude, or Gemini fall short on consistency. The model returns confidence scores and bounding boxes alongside results, replacing bespoke pipelines stitched together from multiple specialized tools.

Inth builds code-native privacy governance tools for software engineering teams, replacing policy documents, dashboards, and manual compliance reviews. Its open-source consent and privacy SDK anchors a platform that checks pull requests for privacy risk, scans production for undeclared scripts and vendors, and generates audit-ready evidence for consent management, data subject requests, and policy enforcement. The product targets teams shipping frequently who need privacy controls enforced at the code level rather than layered on afterward.

jo builds a proactive personal AI agent for individuals juggling work, family, and daily life admin. It connects to email, calendar, messaging apps, and productivity tools, then surfaces what needs attention and acts on it, drafting replies, preparing briefings, and running scheduled routines without waiting to be asked. It replaces the manual habit of checking every inbox and app separately to figure out what to do next.

Juno builds a personal health assistant for people living with chronic conditions such as lupus, IBD, POTS, and ME/CFS. Patients log symptoms by voice or text, review their health history, and generate concise summaries to share with their doctors. The product replaces fragmented self-tracking and the manual work of reconstructing months of health history before a clinical appointment.

Juno builds a personal health assistant for people living with chronic illnesses such as lupus, IBD, POTS, and ME/CFS. Patients log symptoms by voice or text, and Juno tracks patterns over time and condenses months of health history into concise summaries to share with doctors. It replaces ad-hoc note-taking and the mental labor of reconstructing a medical timeline before each appointment.

KelAI builds an autonomous alpha research engine for hedge funds, proprietary traders, and institutional investors. It continuously discovers, tests, and validates trading signals across fragmented data sources, replacing the manual, siloed research workflows that human quant teams run today. The platform is designed to compound signal discovery at a pace and scale that a traditional research team cannot match.

Keyframe Labs builds real-time AI avatar infrastructure for developers and B2B product teams. Its foundation models render photorealistic, emotionally expressive video characters with 180ms latency, turning AI agents into interactive video calls. Developers embed the capability in minutes via a few lines of code, replacing static chatbot interfaces or traditional video production for any agent-facing application.

Kimpton AI builds evaluation infrastructure for AI models and agents, offering live environments and behavioral benchmarks tested against every model checkpoint. Its products serve AI teams that need to measure how models plan, adapt, and recover across complex, long-horizon tasks, replacing ad hoc internal evaluation pipelines. Tools include EvalRouter, a CLI and API for routing benchmark runs across providers, and Koliseum, a service for building private environments and benchmarks against custom scoring criteria.

Kinect builds AI agents for direct-to-consumer e-commerce brands that personalize the storefront for each shopper in real time. The agents adapt product pages, surface recommendations, and answer questions based on how a shopper browses, hesitates, and compares, replacing the static, one-size-fits-all product page. Kinect also structures a brand's catalog, voice, and customer data so its agents, and third-party AI shopping tools, describe the brand on the brand's own terms.

Kinro builds an autonomous insurance brokerage that serves U.S. small businesses that traditional brokers find unprofitable to cover. AI agents handle the full workflow, from prospecting through policy binding, around the clock. The product replaces the manual broker process that makes low-premium SMB policies too costly to place.

Klaimee sells liability insurance designed specifically for companies deploying AI agents, covering failures that standard cyber and tech E&O policies explicitly exclude: unauthorized payments, data leaks, prompt injection, scope violations, and other autonomous-action errors. Regulations such as AB 316 and the EU AI Act place liability on the deployer when an agent causes harm, and Klaimee fills the gap by combining risk evaluation, certification, financial guarantees, and the documentation enterprise procurement teams require to sign off.

Klarify builds an AI agent for therapists that handles the administrative and clinical paperwork surrounding therapy: session notes, treatment plans, clinical letters, insurance claims, supervision prep, and client acquisition. It targets independent and small-practice therapists who currently spend hours outside sessions on work that practice management software records but cannot perform. Klarify replaces that manual back-office burden so therapists can direct their time to client care.

Korso builds a desktop AI assistant that works directly alongside users on their computer, handling tasks across apps by voice or text. It reads screen context on demand, operates software, and answers questions without requiring the user to switch windows or attach screenshots. The product replaces the manual context-switching workers do when they pause a task to search, look something up, or navigate between tools.

KugelAudio builds a text-to-speech API for enterprises that need natural-sounding voice output across 39 languages. The model runs on-premises or in a European sovereign cloud, is fully GDPR compliant, and delivers first audio in under 50 milliseconds. It targets use cases where standard TTS fails on real-world data: IBANs, phone numbers, postal codes, dates, and addresses, replacing generic cloud TTS services that lack multilingual fidelity and EU data residency.

Kuli builds an AI agent for influencer marketing teams at large consumer brands, including Disney, Nivea, and PostHog. It watches video content across social platforms at scale, learns a brand's context, and handles creator scouting, trend analysis, competitor research, and campaign performance analysis. It replaces the manual work previously spread across agencies, multiple tools, and spreadsheets.

Lab0 builds AI agents that automate enterprise software implementation, covering requirements discovery, system configuration, integration, testing, and post-go-live support. The product targets the layer traditionally staffed by system integrators and forward-deployed engineers, compressing multi-month ERP and SaaS rollouts into weeks. Customers are enterprise software vendors looking to get their products live faster, and system integrators looking to improve delivery margins.

Lamina Labs builds video generation infrastructure for AI, targeting the gap between text-based AI output and visual explanation. Its first product, Simi, converts prompts, documents, and decks into whiteboard-style explainer videos in under a minute, replacing manual video production for training teams, educators, and customer onboarding workflows. The company positions video as the output layer wherever AI currently returns text.

Lattice Health monitors deployed medical imaging AI across hospital environments, giving clinical and compliance teams a daily view of model drift, fairness, and accuracy against radiologist reads. It covers AI from multiple vendors running inside PACS and EHR systems, replacing the manual, weeks-long process of assembling evidence when a regulator, counsel, or compliance team asks what a model was doing on a specific date. Each morning it delivers a cryptographically signed PDF, sized by role, so leadership and IT directors get the governance record without logging into another tool.

Light Anchor builds and operates consumer e-commerce brands staffed entirely by AI agents. The agents handle marketing, advertising, inventory, customer care, and competitive research end-to-end, replacing the human teams that typically run those functions. The platform is designed to run many brands simultaneously, compounding shared infrastructure across each one it launches.

Lightsprint gives software teams a shared workspace where product managers, designers, and engineers plan, build, and ship features together using cloud coding agents. Non-engineers describe a change in plain English, and Lightsprint launches agents to write the code, spin up a live preview, run automated QA, and prepare a pull request for engineering review. It replaces the handoff bottleneck where only engineers could initiate and execute code changes.

Limrun provides remote Xcode, iOS, and Android simulators that let cloud-based coding agents build, test, and iterate on mobile apps without running anything locally. It targets mobile development teams and AI agent platforms whose cloud sandboxes lack native tooling like Xcode or Android emulators. The platform replaces the need to check out code locally to validate and merge mobile PRs.

Linzumi builds a team chat application that lets engineering teams direct and monitor fleets of AI coding agents. Engineers kick off tasks, review diffs, and unblock stalled agents from any device, including phones, without SSH or terminal access. It replaces the fragmented workflow of running coding agents in isolation, where teammates have no visibility and redirecting a stalled run requires manual terminal intervention.

Lumius builds real-time 3D ultrasound devices for clinical use, starting with vascular access procedures such as central line placement. Standard 2D ultrasound forces clinicians to mentally reconstruct anatomy while manipulating a probe, a cognitive load that drives high first-attempt failure rates, especially among beginners. Lumius replaces that guesswork with a wide field-of-view, AI-assisted 3D spatial view at a fraction of the cost of existing matrix-array probes.

Madrone builds dew-point cooling systems for data centers, replacing conventional chillers and cooling towers. Its units sit outside the facility and supply 20°C water through a different thermodynamic process, cutting the power and water that operators currently divert away from GPUs. Customers include hyperscale builders standing up new sites and operators retrofitting existing shells to support denser, newer GPU generations.

Manicule runs agent relations ("AgentRel") for B2B software companies, getting their products discovered and used by AI agents the way DevRel once got products adopted by human developers. The team owns developer documentation, GEO optimization, and technical social content end-to-end, replacing the work a full-time DevRel hire would otherwise handle. Customers get restructured docs on Manicule's infrastructure within two weeks, with ongoing content and distribution managed by the team.

Maquoketa Research builds and publishes Roblox games around gameplay loops submitted by creators, handling development in exchange for a share of revenue. For independent game studios, it offers a suite of research and analytics tools spanning idea validation, market analysis, and live-game performance tracking. The tools replace manual market research and post-launch guesswork for studios moving from concept to live game.

Memoir connects to a team's GitHub, Linear, Slack, customer feedback, and product analytics to read what has shipped, then turns that output into marketing content: demo videos, changelogs, social posts, blog entries, and customer updates, all written in the company's own voice. It replaces the manual work of a marketing team translating engineering output into public-facing material. The system learns from edits and campaign performance, so each new release requires less effort to take to market.

Memory Store builds a shared memory layer for B2B teams, pulling in meetings, Slack conversations, notes, and AI coding sessions to create a single context store that both teammates and AI agents can query. It replaces the manual work of searching old threads, re-explaining decisions, and maintaining documentation by automatically organizing what happened, who was involved, and what changed as work unfolds.

Minicor builds an automation layer that gives AI companies programmatic access to legacy Windows desktop software with no API. Developers describe a workflow and receive an API endpoint; each call runs a self-healing automation on a Windows VM, whether on-prem, cloud, or Citrix. It targets systems such as EHRs, ERPs, and dealer management platforms, replacing the need for custom integrations or manual data entry.

Miso Labs builds foundation text-to-speech models for B2B teams developing voice agents. Its flagship model, Miso-TTS, delivers 110ms response latency, one-shot voice cloning from a ten-second audio clip, and on-premises deployment, replacing slower, cloud-dependent TTS providers that introduce conversational lag and data exposure risks.

Mochatrade lets Indian retail traders go long or short on US stocks, such as NVDA, TSLA, and AAPL, using perpetual futures with up to 20x leverage. Traders fund positions in rupees via UPI and trade around the clock without a US brokerage account, wire transfers, or remittance paperwork. The product replaces a friction-heavy process of foreign-exchange forms, multi-day bank wires, and cash-account restrictions that blocked timely execution.

Modern builds an AI-native IT service management platform that consolidates help desk, access provisioning, onboarding, offboarding, procurement, and security into a single system. Enterprise IT, HR, legal, and finance teams use it to resolve tickets end-to-end, replacing manual triage and legacy ITSM tools. Automated agents handle each request, with policy checks at every step, inside the communication channels employees already use.

Mount builds an AI-native insurance carrier for businesses deploying autonomous AI agents in production. Its first product, the Mount AI Liability Policy, targets mid-market and enterprise companies and covers eight risk categories including agentic software failures, harmful outputs, business interruption, and data incidents that legacy commercial policies either exclude or leave ambiguous. Mount scans and red-teams live AI deployments, quantifies operational risk, surfaces remediation steps, and then writes purpose-built liability coverage against the residual exposure.

Napkin Math builds a personalized AI food journal that replaces generic calorie-tracking apps. Users log meals and receive coaching tailored to their specific health goals and daily routines, such as marathon training or identifying food triggers, rather than a one-size-fits-all deficit plan. The product uses gamification to drive daily logging habits in a category where most people abandon traditional trackers.

Netter builds AI data systems for mid-market companies in healthcare, retail, and industrial sectors, connecting fragmented data sources into a single operational layer. Forward-deployed engineers integrate a company's existing data, then build and run AI agents that automate workflows, surface priorities, and generate predictions. The work it replaces: manual reconciliation across disconnected tools, unused data assets, and decisions made without a unified view of operations.

Nine Fives builds modular radio frequency test equipment for engineers developing spacecraft, drones, and cellular devices. Its PD8X rack system combines instruments like programmable attenuators, RF switches, signal generators, and spectrum analyzers into a single PoE-powered chassis controlled through a browser or API, replacing the tangle of legacy benchtop gear and proprietary driver stacks that slow hardware development cycles.

Oddpool builds a unified data and connectivity layer for prediction markets, serving quant funds, prop trading firms, and macro research desks. It aggregates, normalizes, and streams order book data, trade history, and live probabilities across fragmented venues like Kalshi and Polymarket into a single API. The product replaces the manual work of piecing together clean, backtestable data from multiple incompatible exchanges.

Ontora builds an AI agent that interviews employees across an organization to map how work actually gets done, surface bottlenecks, and identify where AI can have the greatest impact. The product targets companies, consultants, and private equity firms undertaking AI transformation initiatives. It replaces the manual process-discovery work that management consultants traditionally conduct over months, compressing it into hours.

OpenProse builds open-source infrastructure for long-running AI agents: a declarative, Markdown-based language and a reactive runtime that let developers specify agent behavior as composable, reusable contracts rather than brittle prompts. The product targets engineers and teams that orchestrate multi-step AI workflows, replacing ad-hoc prompt engineering and fragile context management with structured, version-controlled requirements that agents execute reliably.

OpenWork builds an open-source AI workspace desktop app for knowledge workers who want to run AI models without being locked into a single vendor. It connects to existing tools, MCP servers, and agents across more than 50 model providers, replacing the need for proprietary platforms like Claude Cowork or Codex. Teams configure a shared setup once and use it across any model or infrastructure they choose.

Ornadyne builds flapping-wing drones engineered to replicate the appearance, flight, and acoustics of real birds for close-range reconnaissance. The platform targets defense and security operators who need covert surveillance where conventional quadcopters and fixed-wing UAS are increasingly flagged by acoustic, visual, and electronic detection systems. Ornadyne replaces those detectable platforms with a stealth-optimized, field-deployable system built from first principles for endurance, control, and autonomous operation.

Pairio builds an AI assistant for factory maintenance technicians. Technicians submit a photo, voice note, or video of a broken machine and Pairio searches technical manuals and historical repair records to surface the right fix, identify spare parts, generate structured maintenance reports, and produce work instructions, replacing manual document searches, paper logbooks, and time-consuming onboarding processes.

Panacea delivers FDA regulatory services to biotech and medical device companies, pairing ex-FDA consultants with a proprietary AI platform to prepare and submit filings across pathways including 510(k), De Novo, PMA, IND, NDA, and BLA. It replaces traditional regulatory consulting firms, whose hourly billing and slower turnaround create bottlenecks on the path to approval.

Parrot builds an AI-powered management system for collision repair shops, replacing the front-office work that owners and managers handle manually today. It audits estimates line by line to surface missed damage and write supplements, handles inbound calls and texts, chases insurance claims, and coordinates parts procurement, payroll, and taxes. Shop owners get a single system that acts as a working manager without adding headcount.

Pavoot builds an AI system for B2B teams that run in-person customer events, covering attendee sourcing, personalized invitations, on-site conversation capture, and automated post-event follow-up. It replaces the fragmented workflow of spreadsheets, scattered notes, and generic thank-you emails that teams currently use to track who attended, what was discussed, and who warrants follow-up. Every attendee, interaction, and outcome stays connected in one place so revenue attribution from events is traceable.

Pentagon builds a workspace where AI agents operate as persistent, autonomous teammates alongside a company's human staff. Each agent runs on its own cloud computer, pursues assigned goals proactively, and communicates with the broader team through shared channels, replacing the need to manually supervise or prompt every step. The product targets B2B teams that want to expand their capacity without adding headcount, offloading ongoing work that would otherwise stall when people are unavailable.

PerfectBit, Inc. builds high-quality training data for AI models by verifying outputs against physics simulators, scientific databases, and formal proof systems. Most large language models are pre-trained on noisy, web-scraped text that causes hallucinations and failures on well-defined tasks; PerfectBit replaces that data with synthetically generated, correctness-guaranteed examples. Its target applications span robotics, LLMs, and AI for science.

PLAN0 AI reads architectural drawings through computer vision to produce detailed construction cost estimates in minutes, replacing a process that traditionally takes estimators weeks. Real estate developers, investors, and general contractors use the platform to price projects, run what-if design scenarios, and forecast cost inflation before breaking ground. It also aggregates historical and live project data to break down costs into market-observable components and surface savings opportunities within a given design.

Playabl.ai builds a consumer platform where anyone can create, publish, and play games by chatting with an AI, no coding required. It targets everyday users who want to make games but lack technical skills, replacing the need for game engines, developers, or design tools. The platform also lets creators monetize their games, positioning it as a social, user-generated games network.

Plena Health builds an AI operating system for specialty medical practices, automating the administrative work that keeps clinics running: referral handling, fax intake, scheduling, procedure compliance, and collections. It connects the systems, teams, and workflows a practice already uses rather than solving one slice in isolation. The product replaces the manual administrative burden that otherwise pulls clinical staff away from patient care.

Ploy builds an AI marketing platform that turns a company's website into a continuous growth engine, replacing manual SEO work, content creation, and visitor analysis. Its agents monitor site performance and competitors, write and publish content, run conversion experiments, identify anonymous visitors, and generate outreach, all autonomously. B2B marketing and growth teams use it instead of juggling separate tools for SEO, account-based marketing, and paid ads attribution.

Pops builds a mobile platform where anyone can create, remix, and play AI-generated games without writing code or using a game engine. Players browse a feed of games, challenges, quizzes, and interactive experiences made by other users, and each session automatically produces a shareable gameplay video. Pops replaces the barrier of traditional game development and distribution with a tool that turns an idea into a playable, viral-ready game in seconds.

primitive builds email infrastructure for AI agents, replacing the need for agents to operate SMTP servers, manage credentials, or handle deliverability protocols. Agents send and receive email over a single authenticated HTTP call, get real managed addresses with JavaScript-based inbound handlers, and communicate with other agents through a chat verb that returns threaded replies in one round trip. The product absorbs MX routing, SPF, DKIM, DMARC, bounce processing, and IP reputation so autonomous agents reach people and each other over ordinary email without any mail-server setup.

Prism runs end-to-end recruiting for B2B companies, replacing internal sourcing and traditional agency work. It searches across a pre-screened candidate pool, client ATS data, and the open web in parallel, then delivers a ranked shortlist ready to interview. The target customer is a hiring team that wants qualified candidates without building a recruiting function or managing a software platform.

Probe builds an AI-native incident management platform for engineering teams. When an alert fires, Probe's agent draws on a structured knowledge base, pulling in prior incidents, code ownership history, and runbooks to diagnose the problem and route escalations, work that engineers previously did manually under pressure. After resolution, Probe writes the postmortem and updates the knowledge base, so each incident sharpens the system's response to the next.

ProjectX builds InfinityOS, a cloud-based operating system that runs each application in its own isolated environment with dedicated GPU and compute, letting humans and AI agents work across multiple heavy apps simultaneously. It targets B2B teams and AI agents running GPU-intensive workloads like 3D rendering, simulation, and model training, replacing the single-cursor, single-focus constraint of traditional desktop and remote-desktop setups. Any agent can orchestrate workloads through a chat interface, and the workspace runs entirely in a browser tab with no installation required.

Prototyping.io automates the path from CAD file to finished mechanical parts, covering CNC machining, sheet metal, 3D printing, injection molding, and die casting on a single platform. An AI agent extracts design intent from uploaded 3D models, runs manufacturability analysis, and drives production workflows, replacing the manual quoting, sourcing, and process planning that engineers handle today when ordering precision parts.

Prototyping.io automates the path from CAD file to finished mechanical parts, targeting engineers and product teams who need CNC machined, sheet metal, 3D printed, or injection molded components. Its AI system analyzes uploaded 3D models for manufacturability, flags issues early, and orchestrates production workflows end to end. The platform replaces manual quoting, supplier sourcing, and production coordination that traditionally add cost and delay between design and delivery.

qomplement builds an AI-native ERP for retail and logistics companies, replacing the manual processing of purchase orders, freight invoices, inventory updates, and shipment confirmations that operations teams currently handle person by person. Its agents take over tasks like vendor onboarding, carrier invoicing, three-way matching, and inventory reconciliation, letting procurement and operations teams absorb far higher transaction volumes without growing headcount.

RASPIRE delivers runtime security for Android and iOS applications, protecting mobile apps from tampering, reverse engineering, API abuse, and hooking attacks as they run in production. It operates without SDKs, source-code changes, or manual tuning, replacing the work of a security engineer continuously monitoring and blocking threats. Mobile development teams get continuous, AI-configured defenses that activate at build time and adapt across every release.

ReasonBlocks builds a runtime layer for AI agents that cuts token usage and raises task accuracy during execution, with improvements that compound across runs. It targets B2B teams running agentic AI workloads, replacing ad-hoc prompt engineering and post-hoc debugging with in-flight reasoning correction and token compression.

Regbase builds an AI research tool that monitors regulatory changes for compliance teams, replacing weeks of manual research. It surfaces updates from sources traditional search engines and large language models cannot reach: draft bill portals, obscure municipal websites, non-English publications, and social media accounts. A tracker a team would previously spend days configuring takes minutes to build.

RentAHuman operates a marketplace where AI agents hire real people to complete physical-world tasks, such as inspecting a storefront, collecting a package, or documenting an event. It serves AI systems that need a human presence on the ground, replacing the need for those systems to have their own logistics or field operations networks. Workers find jobs through the platform across more than 100 countries.

Replicas runs Claude Code and Codex agents in the cloud so engineering teams can delegate tickets from Slack, Linear, or GitHub and have them resolved in parallel, sandboxed virtual machines. Each agent monitors CI results and code review comments, revising its pull request until checks pass. The product replaces the manual cycle of picking up, context-switching to, and iterating on individual tickets.

Result builds an all-in-one operating platform for internet founders launching SaaS or AI businesses. It bundles company formation, banking, payments, product deployment, and ongoing operations, covering legal, growth, support, analytics, and a company knowledge base, into a single workspace. AI agents inside the platform handle the execution work, replacing the patchwork of tools and manual effort a solo or small-team founder would otherwise manage across separate services.

Revnu builds an AI agent that runs the full go-to-market stack for early-stage B2B companies: paid ads across Google, LinkedIn, Reddit, X, and Microsoft; outbound prospecting and reply handling; and SEO and generative-engine optimization. It replaces the work a dedicated growth team would do, acting on results across channels and sharing learnings between them so each channel improves the others.

River Markets builds a prime brokerage platform for professional prediction-market traders, connecting hedge funds, prop trading firms, and individual professionals to every major event-contract venue through a single account. It replaces the manual work of managing separate venue logins, fragmented positions, and inconsistent execution by delivering a unified trading terminal, order management system, execution algorithms, and smart order routing across venues.

Rudus builds an AI-powered takeoff and estimation platform for concrete contractors. It reads construction drawings and automatically identifies footings, walls, columns, and slabs, replacing the manual measurement work that estimators do today. Contractors use the output to price bids and export quantities directly into tools like HCSS HeavyBid, Sage, and Excel.

Runtime builds an agent harness that lets payment teams deploy and run AI agents across operations, risk, compliance, and support without engineering involvement. Each agent runs in its own sandboxed cloud environment, connects to existing channels like Slack or email, and pauses to request approval before taking action. This replaces manual review queues and the need for engineers to build, host, or monitor every internal automation.

Saffron builds AI-native technical assessments that let engineering teams evaluate how candidates use AI to write code, not just what they produce. Candidates complete tasks on a company's actual codebase inside a browser-based IDE with an AI coding agent, while Saffron captures every decision, distinguishes human-written from AI-generated code, and scores submissions against custom rubrics. This replaces take-home exercises and live pairing interviews that either ignore AI use or cannot measure it.

Salesgraph, now rebranding as Antinuous, builds AI agents that carry out the between-call work account executives do to advance enterprise deals: research briefs, stakeholder mapping, follow-ups, business cases, and pricing support. The agents maintain a persistent context graph across a deal's full lifecycle, so decisions, history, and next actions stay connected as stakeholders shift and requirements change. The product targets enterprise revenue teams and replaces the manual coordination work that falls between buyer meetings.

Saudara AI connects American brands to vetted overseas factories, acting as a full-service sourcing broker for physical goods procurement. It replaces the traditional broker relationship, legacy supplier networks, and the manual work of sourcing, quoting, quality control, and logistics coordination. Each deal is handled by a human broker backed by AI that accelerates and automates the end-to-end process.

Savant builds an operational memory layer for teams and AI agents at B2B companies. It connects to existing tools, consolidates documented knowledge, and captures the undocumented procedures, judgment calls, and workarounds that never get written down. Employees get a single searchable context layer instead of hunting across threads and tools, and AI agents get the policies, constraints, and workflows they need to act correctly inside a business.

Sazabi builds an AI-native observability platform for engineering teams. It replaces manual log triage and alert configuration by automatically surfacing actionable, prioritized alerts, answering debugging questions in plain language, and dispatching coding agents to fix issues directly in tools like Cursor or Codex. Engineers interrogate their running applications conversationally instead of combing through raw telemetry.

Scope helps software companies track and improve how AI agents discover and use their products. It runs real workflows across agents like Claude Code, Codex, and Cursor, then shows teams where an agent picks a competitor, where it gets confused by docs or product surfaces, and what to fix. The initial focus is on products agents interact with directly: APIs, infrastructure tools, CLIs, and MCP servers.

Sherpa builds a website platform for B2B marketing teams that continuously optimizes pages for both human visitors and AI agents. For humans, it studies visitor behavior, generates and tests page variants on live traffic, and promotes what converts. For AI agents, it tests agent-facing versions of the site to increase how often those agents recommend the company, replacing manual CRO work and developer-dependent page launches.

shotwell.ai builds an observability layer for robotics companies, automatically annotating video data to detect failures in both training datasets and live deployments. Customers upload raw robot operation footage and receive segmented, step-level annotations with failure detection and sub-second subtask boundaries returned within 24 hours. The product replaces manual QA review of video data, letting engineering teams scale operator oversight without adding headcount.

shotwell.ai annotates robotics training video data for teams building robot policies. It segments long operation videos into discrete steps, detects failures at each step, and returns labeled datasets within 24 hours, replacing manual QA review and ad-hoc annotation pipelines. Each subtask gets precise sub-second timestamps, failure verdicts, and attribute descriptions, turning manual review into a queryable dataset.

Silmaril builds runtime security for AI agents, protecting agentic systems from prompt injection, data exfiltration, and instruction hijacking attacks that exploit public inputs, trusted context, and web content. It targets B2B teams deploying agents on frameworks such as LangGraph, replacing manual threat detection and static rule-based defenses with a self-improving layer that inspects tool calls and message payloads in real time.

Smartbase builds an AI-native enterprise resource planning system for manufacturers. It replaces the workflow management, production tracking, and operational coordination that manufacturers currently run on legacy ERP software or manual processes.

smol machines builds a lightweight virtual machine runtime that lets developers package any software into a portable .smolmachine artifact and run it identically on a local laptop, in smol cloud, or on self-hosted servers. It targets the environment mismatch that breaks software between development and production, replacing ad-hoc containerization and manual environment configuration. Each workload runs in a hardware-isolated Linux VM with its own kernel, using the same SDK and artifact across all targets.

Soria builds an AI-native financial research terminal for sector-specialist investors, starting with healthcare. Its agents continuously ingest hundreds of public and private data sources and convert them into a maintained financial model, reviewed by domain experts, replacing manual data gathering and modeling work done by analysts at hedge funds, banks, and asset managers. Soria owns its own data layer and expands one sector at a time, with agents proactively surfacing research without requiring client input.

StableBrowse builds data infrastructure for physical AI, supplying frontier robotics and embodied-agent teams with multimodal datasets of real-world physical tasks. It handles the full pipeline: on-site capture using egocentric video, stereo depth, IMU, tactile gloves, and hand-pose sensors, then post-processing into calibrated, schema-valid, model-ready outputs. The product replaces the fragmented, in-house effort of collecting, synchronizing, and labeling physical-world sensor data that the open internet cannot provide.

Stage builds a code review platform for engineering teams overwhelmed by the volume of pull requests that AI-generated code produces. It restructures each PR into a narrative of chapters, context, and focused review sections, replacing the raw diff-scrolling workflow engineers face in standard review tools. The target user is the engineer who must stay on top of a growing backlog without sacrificing understanding of what the code actually does.

Standard Signal runs a hedge fund where AI models handle the full investment process, from research through trade execution, without human analysts in the loop. The models are trained to reason through complex, multi-step market problems and identify fundamental patterns that traditional quantitative strategies miss. It replaces the human research and trading desk with autonomous AI end-to-end.

Standout runs a hiring marketplace where each candidate and each company gets a dedicated AI agent. The candidate's agent learns their preferences, scans companies, and surfaces matched roles without the candidate ever applying or revealing their identity until they accept an intro. The company's agent does the same in reverse, replacing the recruiter outreach, screening, and scheduling work that buries both sides in noise today.

Superlog builds an AI agent that automates routine engineering operations: triaging production errors, answering support questions, monitoring deploys, and patching observability gaps. It connects to tools like Sentry, Datadog, GitHub, and Slack, then investigates incidents with full context and opens a ready-to-merge pull request, replacing the manual work engineers do after an alert fires. The instrumentation it installs is vendor-neutral, so teams retain their telemetry data regardless.

Superset builds an IDE for engineers who run large numbers of coding agents in parallel. The desktop app provides a single workspace to orchestrate agents from Claude Code, Codex, Cursor, and others across local machines, remote servers, and mobile, replacing the manual work of switching between agent interfaces and coordinating concurrent tasks. Engineers can schedule automated agent workflows, review changes, and connect to remote compute directly from the same environment.

Surtr Defense Systems builds ParallaxOS, a hardware-agnostic operating system for counter-drone defense. It ingests sensor data from radars, RF detectors, cameras, and acoustic arrays, fuses them into a single real-time picture, and delivers AI-driven threat classification and engagement recommendations to a human operator. It replaces the fragmented, vendor-locked software stacks that today force operators to manage multiple disconnected sensor feeds.

Synphony builds strawberry-picking robots and supporting software for California farm operators, replacing manual harvest labor that accounts for the majority of production costs. The software layer includes bed-level crop analytics, data pipeline integration, and agentic farm management tools, modernizing operations that have run on decades-old systems. Beyond harvesting, Synphony sells data, evaluations, and robot foundation model services to robotics research labs, and is fielding demand from semiconductor facilities and autonomous space operations.

Taiga handles end-to-end medical billing for independent doctor's offices, replacing in-house billing staff and manual coding workflows. Its AI reads visit data from a practice's EHR, assigns the correct billing codes, scrubs claims before submission, and manages denials and appeals with insurers. The work it displaces: manual charge entry, first-pass claim review, and the staff time spent chasing down rejected or underpaid claims.