YC Fall 2026 (F26) companies

Acyclic Labs builds infrastructure for running agent swarms that tackle software tasks too large for a single coding agent. Engineers point it at a repository and describe a task; the swarm splits the work across parallel agents, each running in its own sandbox, and merges the output into a patch or pull request. It replaces the manual effort of coordinating multiple AI coding sessions and stitching their results together.

Agent 37 provides persistent, always-on cloud sandboxes for AI agents, built for developers shipping agent-powered products. Each API call provisions an isolated sandbox per end user, pre-loaded with agents such as Claude Code, Hermes, and Codex, with files, memory, and connected tool credentials that persist across sessions. This replaces the need to configure servers, manage cloud infrastructure, or rebuild agent state between runs.

Agent Relay builds coordination infrastructure for teams running multiple AI coding agents in parallel. It gives agents such as Claude Code, Codex, and OpenCode a shared messaging layer, persistent session history, and direct connections to tools like GitHub, Linear, and Slack, replacing the manual work of tracking, handoff, and context-switching across separate agent sessions. Engineering teams get a single plane to monitor every agent, enforce human approval steps, and run resumable multi-agent workflows on cloud, local, or self-hosted infrastructure.

Ageospatial builds a geospatial AI platform that reads satellite imagery, street-level imagery, maps, real-time data, and public records to profile physical assets, including commercial properties, land, and infrastructure. Insurers, carriers, and MGAs use it to assess what a property actually is, what hazards surround it, and how it has changed over time, replacing the manual physical inspection that most properties never receive. Each property becomes a continuously updated record that underwriting, claims, and pricing teams can audit from past to present.

antimattr builds a voice-first hardware system, comprising a ring and earphones, for people who want to capture thoughts, dictate text, and control AI agents hands-free. The earphones apply proprietary voice isolation to strip background noise so only the speaker's voice comes through, while the ring lets users record conversations, log ideas on the go, and remotely trigger agents such as Claude Code and Codex. The product replaces manual note-taking, keyboard dictation, and direct on-device agent interaction.

Antropi Robotics builds autonomous CNC factory systems that replace manual machine operation, material handling, and maintenance scheduling. Gantry-mounted robotic arms with built-in vision models load and unload CNC machines, autonomous vehicles move raw materials and finished parts between stations, and IoT sensors feed an AI layer that predicts failures and schedules preventive maintenance before downtime occurs. The target customer is a discrete parts manufacturer running CNC equipment who currently relies on human operators for machine tending, inter-machine logistics, and reactive maintenance.

Applied Kinetics builds AI agents for energy and data center construction teams, handling the coordination work that keeps long-lead equipment orders on track. The agents chase suppliers, reconcile engineering changes, and monitor delivery milestones by connecting directly to ERP systems, email, spreadsheets, and document stores, replacing the manual follow-up that project teams currently do across inboxes and spreadsheets. Results and exceptions surface in Microsoft Teams or Slack, where the team already works.

Archangel Health builds post-training and evaluation infrastructure for medical AI, targeting frontier labs and medical AI developers. It provides reinforcement learning environments inside de-identified EHRs, physician-verified training data, and clinical reasoning benchmarks designed around hard diagnostic cases. The product replaces ad-hoc fine-tuning pipelines and internal benchmark construction that labs would otherwise build themselves.

Asakana automates order entry for food distributors, converting orders that arrive by text, email, WhatsApp, voicemail, and WeChat directly into drafted ERP records. Restaurants routinely send orders through these informal channels, and distributor staff would otherwise retype each one manually. Anything ambiguous is flagged for human review before it posts, keeping the data clean without adding a bottleneck.

Ascenix builds a clinical intelligence platform for skilled nursing and long-term care facilities. It reads the unstructured notes nurses already enter in EHRs like PointClickCare and converts that data into automated incident reporting, compliance gap alerts, reimbursement recovery, and forward-looking resident risk rankings. The product replaces manual chart reviews and spreadsheet-based reporting that clinical and operational teams otherwise build by hand.

Asim builds safety research and testing infrastructure for robotics teams. It runs robots through real-world and simulated scenarios to measure physical harm, semantic misunderstanding, and malicious-use risks, benchmarking results against a human baseline. The work replaces ad-hoc internal safety validation with structured audits and a runtime layer that monitors, predicts, and blocks unsafe actions during execution.

Aviern builds fixed-wing unmanned aircraft that autonomously patrol infrastructure corridors and return geospatial intelligence to operators. The aircraft launch and land from unattended docks installed along the right-of-way, with onboard perception that detects pipeline leaks, encroachments, vegetation stress, and ground movement, replacing the helicopter crews operators currently hire for mandated patrol flights. The same aircraft and dock platform extends from pipelines to power grids, rail, borders, and military bases.

Boat provides cloud-hosted Ubuntu virtual machine sandboxes built for AI agents. Each sandbox ships pre-configured with Docker, Chrome, common languages, a virtual desktop, and snapshot-based forking, so agent developers avoid standing up and maintaining their own compute infrastructure. The product targets teams running agents at scale on code, research, legal, and other knowledge work.

Boxes.dev gives AI coding agents, specifically Claude Code and Codex, dedicated cloud Linux machines so they can run in parallel without competing for local resources. Developers trigger agents from Slack, Linear, a schedule, or an API call, then monitor or steer them from a desktop app, mobile device, or terminal. It replaces local worktree setups and the need to keep a laptop open while agents work.

Bryel builds custom multimodal AI models for businesses, trained to handle text, images, audio, video, 3D, and sensor data specific to each client's domain. Companies own the resulting models outright rather than depending on a shared general-purpose API. The product targets work that off-the-shelf frontier models handle poorly: domain-specific visual understanding, spatiotemporal reasoning, and artifact generation in the formats and standards a team already ships.

ByteAsk builds an AI coding agent purpose-built for C and C++, the languages at the core of trading systems, automotive software, chip firmware, and operating systems. Rather than generating a plausible-looking diff and stopping, it runs the actual compiler, sanitizers, debugger, and test suite against every change until the output is verified clean. Engineers replace the manual cycle of writing code, building, running tests, and triaging failures by hand.

Capveon builds an AI layer for infrastructure contractors, manufacturers, and supply chains, sitting on top of existing systems like Salesforce, Viewpoint, HeavyBid, and Dodge without replacing them. It automates the work that falls between those systems: bid qualification, preconstruction research, spec review, quote pricing, and forecasting. The manual effort it replaces ranges from retyping data across CRM and ERP tools to reading specifications and assembling owner and job histories before preconstruction kickoffs.

Clean surfaces buying signals for B2B sales teams by monitoring real commercial activity, such as customs shipments, permits, loans, and supplier changes, rather than ad clicks or web traffic. It tells sellers which companies are actively in a buying cycle right now, replacing manual prospect research and gut-feel timing. The target customer is any B2B revenue team that needs to prioritize outreach by actual market behavior.

Collar builds an AI-native investor relations platform for undercovered public companies. It automates earnings preparation, compiles peer comparisons and question banks, and ranks investors by portfolio fit so CFOs and IR teams spend less time on research and more time in front of aligned institutions. The product replaces weeks of manual work: drafting earnings packets, scouring 13F filings, and building roadshow target lists by hand.

Composal builds automated pre-release testing for software teams shipping products with AI agents. It deploys a swarm of agents that navigate an application as real users would, exercising critical flows and edge cases in parallel. Teams get video recordings, logs, and reproduction steps for every failure, replacing manual click-through testing before each release.

CONUS builds an AI knowledge platform for operating rooms, serving surgeons, OR nurses, and medical device sales representatives. It centralizes product information from device manufacturers, hospital protocols, and medical research into a single searchable layer, replacing scattered documentation and manual lookup during surgical workflows. The platform also gives device manufacturers a direct channel to place products with hospital end users.

Covera builds AI agents that handle the operational workload inside insurance brokerages: collecting submission documents, entering risk profiles into carrier portals, comparing returned quotes, triaging claims, chasing unpaid premiums, and identifying coverage gaps across a book. Each agent takes on one discrete task and delivers a ready-to-approve output, replacing the manual, repetitive work that keeps brokers away from clients.

Cyclon builds a smartphone where AI serves as the primary interface, replacing the conventional app-and-screen model. Instead of navigating menus and tapping through applications, users state what they want and the phone dispatches AI agents to control apps or run tasks in the background on their behalf. The product targets everyday smartphone users and replaces the manual, multi-step interaction that current mobile operating systems require.

Databuddy builds cookieless product analytics for startups and developer teams that lack a dedicated data analyst. It tracks visitors, funnels, signups, errors, and web vitals in one place, and surfaces a built-in AI analyst called Databunny that watches metrics continuously, flags meaningful changes, and explains the cause behind each shift. This replaces the manual work of checking dashboards and diagnosing product issues such as conversion drops, user frustration, and churn.

Decent builds a health insurance brokerage for small businesses that replaces the once-a-year broker review with continuous plan management. It quotes every available coverage option across carriers and PEOs, then monitors claims data throughout the year to negotiate renewals and surface cheaper or richer plans before the employer ever asks. The work it replaces is a passive broker who shops coverage once at renewal and does nothing in between.

DeepMark embeds a machine-readable identity signal directly into AI-generated audio at the moment of production, surviving VoIP, codecs, and the phone network intact. Banks, call centers, and end recipients can verify in real time that a call originated from an authorized AI agent, replacing trust that previously depended on metadata that gets stripped in transit. The same embed-and-verify flow also marks AI-generated images and video for regulatory compliance, including EU AI Act transparency obligations.

Definite builds a shared data layer for finance teams, connecting ERPs, ledgers, payroll, and payment systems into a single, continuously updated model of a company's books. On top of that model, back-office teams build and run automation agents using plain English, without writing code or pulling in engineers to stitch data sources together. The product replaces the manual, per-workflow data plumbing that currently blocks finance teams from automating repetitive back-office work.

Degla Inc builds an autonomous drone operations system for public safety and security teams. Operators type a plain-language goal into SkyCommander, and Degla's onboard intelligence plans the mission, launches a purpose-built 4.4-meter fixed-wing VTOL, and adapts in flight, replacing manual flight planning, continuous operator control, and separate sensor management. The work it displaces is hands-on drone piloting and real-time replanning by human crews.

Deploy puts generalist robots on warehouse stations handling returns processing, kitting, autobagging, and FBA prep, replacing human labor at the tasks logistics operators struggle to staff. The company handles everything between the robot's underlying model and the physical job, delivering guaranteed throughput from day one across industries that share the same deployment challenge.

Dreamscale Labs builds a cloud inference platform for physical AI models used in robotics. Robotics teams use it to offload model inference from on-robot GPUs to the cloud, running models like NVIDIA's DreamZero and MolmoAct2 with real-time latency. The platform replaces costly dedicated on-device compute by optimizing the model, GPU kernels, and network stack together.

Dydema builds AI models that decode brain signals and collects brain recordings on demand, so any team developing brain-computer interfaces can train and run their own neurotech software. The models handle signal interpretation that developers would otherwise have to build from scratch, and the data service fills a gap that currently limits the whole field. Together, they replace the need for neurotech teams to run their own data collection programs or build low-level signal-processing pipelines.

Elimentary builds AI agents that run middle and back-office operations for private credit managers, handling tasks such as loan tape analysis, borrowing base calculations, covenant monitoring, waterfall automation, and NAV calculations. The product replaces the spreadsheets, emails, and manual analyst hours that most private capital firms still rely on for post-investment operations. It ingests loan tapes, deal documents, and servicer reports and produces decision-ready data, end to end, without human intervention.

Faraday builds an operations platform for manufacturers and distributors that coordinates back office and shop floor work across AI agents, robots, and human workers in a single runtime. It connects LLM models, an agent harness, operational data, business applications, and physical robots so that planning, execution, and record updates stay synchronized end to end. The platform replaces fragmented point tools and manual coordination across inventory management, production scheduling, and related industrial workflows.

Forward builds an AI origination platform for private credit, serving commercial debt advisors and private credit funds. Advisors submit raw borrower materials once and the platform parses financials, structures a deal proposal, and matches the packaged opportunity to funds whose mandates fit. It replaces the manual work of spreading financials, writing credit memos, and cold-sourcing lender relationships.

Frontrunner builds AI agents that handle go-to-market work for B2B sales and marketing teams: researching accounts, finding prospects, running campaigns, qualifying inbound leads, and keeping the CRM current. The agents connect to a team's existing tools and work alongside human reps, replacing the manual, repetitive execution that consumes GTM headcount.

GodHands reconstructs an outgoing employee's role, in full, directly from the systems they worked in, so enterprises can hand that role over without disruption. It maps what depends on the person, surfaces the knowledge embedded in their day-to-day work, and keeps operations running after they leave. The product replaces the manual, error-prone process of knowledge transfer that typically stretches across weeks of documentation and shadowing.

GrayPass verifies that the authenticated user is still in control of a session at the moment a consequential action executes, closing the gap between login and action. It analyzes cognitive biometrics, including keystroke timing, pointer movement, and scroll patterns, alongside session and device context to assess continuous control. Before an action such as a payment approval, permission change, sensitive data export, or AI agent execution proceeds, GrayPass returns an allow, challenge, hold, or deny decision and generates signed proof tied to that specific action.

Grep AI builds and deploys managed AI agent workforces for research-intensive knowledge work in financial services and enterprise. Customers including global banks, fintechs, and payment companies use its agents to run due diligence, compliance checks, credit research, sanctions screening, document reviews, and reporting. The agents replace manual analyst work that carries high accuracy requirements and significant business risk if done wrong.

HABU operates as an AI-native real estate developer, acting as a fee and merchant developer for capital investors who want housing projects delivered on time and at forecasted returns. It replaces the traditional development firm by running the full project lifecycle, from land screening and entitlement through construction management and disposition, using agentic workflows, geospatial analysis, and development-specific automation. The result is more projects per staff member, faster schedules, and lower total project costs, without HABU holding property long term.

Halmos Labs builds automated research software for biotech and drug discovery teams. It designs experiments by simulating every possible outcome across multiple models, then surfaces every assumption behind each recommendation so scientists know exactly what the system knows and where it is uncertain. The work it replaces is manual experiment planning and the opaque model outputs that force researchers to run more experiments than necessary to reach a conclusion.

Hemlock builds force-annotated demonstration data for robotics AI training. Its Bracelet, a wrist-worn EMG band, reads forearm muscle activity to estimate finger-level grip force during human demonstrations, capturing what video and joint-angle data alone cannot: how hard the hand is pressing. Robotics labs use this to train manipulation policies for tasks such as parts assembly, delicate object handling, and hospital supply workflows, replacing the guesswork that comes from training on force-blind recordings.

herdr builds an open-source agent runtime for developers running fleets of coding agents across multiple machines. A persistent background server owns each agent's terminal session, keeping work alive through disconnects, closed laptops, and dropped SSH connections. Developers get a unified attention queue showing every agent's status, working, blocked, or done, across all projects, and can reconnect from any device without losing progress.

Hesper AI builds an end-to-end claims resolution platform for property and casualty carriers, MGAs, and TPAs. Its AI agents handle every stage from first notice of loss through coverage verification, fraud investigation, settlement, and subrogation recovery, replacing the manual review work that today stretches a typical claim past forty days. Routine claims close automatically; suspicious ones get a full investigative workup with an audit-ready evidence trail, while adjusters retain final decision authority.

Hickory & Company builds an AI-powered compliance and Bank Secrecy Act platform for banks, fintechs, and credit unions. Agents handle the repetitive review, documentation, and reporting work inside a financial institution's compliance program, cutting multi-hour case work down to brief reviews while keeping every decision with the human team. All outputs are documented and cited so they are ready for regulatory examination.

Hopper builds a specialized inference platform for voice AI, serving companies that run speech-to-text, text-to-speech, and speech language models in production. It fine-tunes those models on a customer's own call traffic and continuously improves them against live usage, replacing generic hosted model APIs. The result is lower latency and lower cost per token than general-purpose alternatives.

Hue builds a testing platform for AI agent teams. It captures real production runs and converts them into repeatable test cases that preserve the original user context, tool calls, and stateful environment, so teams can replay and score agent behavior under conditions that match actual usage. The product replaces ad hoc manual testing and synthetic benchmarks that fail to reflect the complexity of live deployments.

Hundred builds an AI visual inspection system for contract manufacturers producing consumer electronics. It scans incoming parts in their shipping trays, grades each one against cosmetic specifications, and flags sub-millimeter defects, replacing human inspectors who check parts under microscopes. The system requires only a single golden sample to calibrate, with no labeled defect data, so it keeps pace with the rapid part revisions that defeat traditional vision systems.

Ignition Benefits brokers employee health insurance for companies under 200 employees, replacing the traditional brokerage model with an AI-native platform backed by licensed advisors. It gives employers visibility into their own workforce health costs, fights annual rate increases at renewal, and handles plan enrollment and administration. The product targets small and mid-market employers who have historically accepted opaque pricing and year-over-year premium hikes with no analytical recourse.

Inflection Space Systems builds high-volume spacecraft manufacturing infrastructure for commercial and government customers. The company targets the production bottleneck that limits fleet scale: today's spacecraft are built one at a time in specialized clean rooms, a process that cannot support next-generation constellations numbering in the tens of thousands. Inflection replaces that artisanal model with industrial-scale factory throughput.

Invertix deploys custom AI agents inside energy and critical infrastructure companies, ingesting SCADA data, work orders, and operational records to monitor assets, investigate faults, and coordinate work across operations teams. The models are grounded in physics-informed neural networks and differentiable simulators trained on data no general-purpose model has seen. This replaces manual monitoring, ad-hoc fault investigation, and fragmented coordination between field operators and back-office teams.

isoquant runs open-source AI models on its own inference cloud, optimized across the full stack from GPU kernels to serving orchestration. Engineering teams replace their existing inference providers by swapping in an isoquant API endpoint, getting lower latency and higher throughput at reduced per-token cost. The product targets companies running inference at scale who are paying too much or hitting speed limits with current providers.

Kailash Labs builds small, task-specific video understanding models for industries that process high-volume camera feeds, including security, industrial monitoring, robotics, and live broadcast. Its automated pipeline takes a customer's objective, distills a frontier vision-language model, and produces a fine-tuned model optimized for that single task, deployable on-premises where data privacy rules out cloud inference. The result replaces both expensive generic frontier models and brittle, single-purpose computer vision classifiers that cannot transfer across tasks.

Keres builds reusable unmanned jet interceptors for air defense. Its vehicle, the Garmur, launches on command, closes on targets at jet speed, identifies and destroys drones and cruise missiles, then returns to land and fly again. The system gives military commanders a fighter-class intercept capability at a fraction of the cost of crewed or single-use alternatives.

Lambda Robotics builds and deploys autonomous robots for the data centers and facilities that support AI compute. Its machines handle the physical operations inside AI infrastructure, replacing manual labor in those environments. Each deployment feeds back into the system, making the robots more capable over time.

Lantern AI builds an end-to-end AI hiring manager for companies replacing the combined work of a recruiter, HR partner, and talent intelligence function. It takes a 15-minute calibration to learn what strong looks like at a specific team, pressure-tests that standard against the real talent market, then runs the full hiring loop: sourcing, screening, interviewing, assessing candidates, coordinating schedules, and extending offers. The product targets B2B customers who want a single, continuous system instead of handoffs between people and tools.

Lark builds AI agents for wholesale distributors, automating the operational work that purchasing teams, inventory managers, and sales staff handle manually today. The agents connect to a distributor's existing ERP, learn from historical transaction data and past team decisions, and handle purchasing, demand forecasting, inventory monitoring, sales, and analytics. A distributor can run its full back-office operation through Lark rather than through manual review and spreadsheet-based workflows.

Latent detects hallucinated LLM outputs in real time by reading a model's internal state as it generates each answer, before any response reaches an end user. Teams deploying LLMs in finance, legal, healthcare, and customer support get a prioritized review queue of flagged answers, each with a plain explanation, replacing the manual spot-checking or expensive judge-model pipelines those teams would otherwise run. The product sits inside the customer's own deployment, so no output leaves their environment to be verified.

Lyon trains foundation models from scratch on the proprietary event data of banks, insurance companies, and fintechs. Each model learns from a company's own transactions, payments, clicks, and customer interactions, then runs inside that company's cloud on AWS, GCP, or Azure. A single model powers every downstream prediction, from credit risk and fraud to churn, collections, income, and cross-sell, replacing separate feature-engineering projects for each task.

Mantle runs a full-stack field service operation that deploys, repairs, and maintains machines and robots on behalf of the hardware and robotics companies that build them. It takes direct ownership of uptime rather than acting as a marketplace or software layer, replacing the need for manufacturers to pull their own engineers onto customer support calls. The target customer is any company shipping physical machines that needs reliable post-sale service without building that capability in-house.

Maritime provides managed cloud infrastructure for AI agents, giving each end user their own isolated, persistent virtual machine. Developers building multi-agent products can provision thousands of per-user agents without writing any infrastructure code, replacing self-managed VM orchestration, scaling logic, and sleep/wake scheduling. Each agent retains its own filesystem, credentials, and browser state across sessions, so it can resume work after days of inactivity.

Melty lets PC gamers combine titles they already own into cross-game "mashups" and play them with friends in one click. It replaces the manual work of finding, installing, and configuring mods by handling setup automatically and generating invite links for multiplayer sessions. Creators build and publish their own mashups by feeding instructions to an AI coding agent such as Claude Code or Codex.

Micora builds palletized, containerized solar-plus-battery microgrids that ship anywhere in the continental United States within seven days and scale from 50 kW to multi-megawatt capacity. Forklift robots scan terrain and place solar pallets autonomously, assembling roughly one megawatt every eight days without specialized construction labor. The system targets data centers, advanced manufacturers, and other high-demand sites that need utility-scale power faster than conventional grid interconnection or EPC-built solar farms can deliver it.

Mirrors builds a runtime context layer for production AI agents. It monitors live agent sessions, learns from failures like context loss, infinite loops, and malformed tool calls, then automatically routes corrective context the next time the same situation arises. The product targets engineering teams operating agents that take irreversible actions, replacing manual trace review and hand-patched prompts after regressions.

Munito AI provides open-model inference for European enterprises through an API that routes requests to EU-based compute. It replaces reliance on US-hosted, closed-model providers by keeping both inference and data storage within the EU, with zero data retention and no training on customer data. The company was founded by the former inference lead at Mistral AI.

Native builds an autonomous marketing platform for small businesses that creates, designs, and publishes social media posts and paid ads across channels without requiring any marketing expertise from the owner. An in-house predictive model called Norn determines what content people will respond to. The platform replaces the work of a social media manager and ad buyer, handling copy, visuals, scheduling, and ad optimization end to end.

Neomatter builds an AI layer for in-house legal teams that intercepts requests from across a company before they reach counsel. It connects to email and messaging tools, reads incoming documents, checks the team's playbooks and past deals, and delivers a completed analysis with a recommended response for the lawyer to approve. The product replaces the intake, research, and first-draft work that in-house attorneys otherwise do themselves.

Nodus Compute provides cloud infrastructure purpose-built for AI workloads, including model training, fine-tuning, and agent execution. AI engineers and teams use it to run pre-training, post-training, and LoRA fine-tuning jobs with their own code and data, replacing the need to manage general-purpose cloud compute. It also hosts sandboxed environments for AI agents, letting coding agents like Claude Code, Codex, and Cursor execute tools, run evaluations, and complete long-running tasks within configurable resource limits.

Nxtcure Labs runs clinical trials end to end through Galen, a platform of thirteen purpose-built AI agents that handle the routine operational work of a contract research organization, from site feasibility and activation through monitoring, safety reporting, and biostatistics. Every action with clinical, safety, regulatory, or financial consequence is held in a single human review queue and requires approval from a qualified person before it proceeds. The product replaces the manual coordination layer of a traditional CRO while keeping medical and regulatory judgment with certified oncologists and qualified staff.

Oasive builds an AI-powered research and analytics platform for fixed-income professionals, starting with agency MBS and rates. Portfolio managers, traders, analysts, and investment advisers use it to screen securities, run valuation and scenario analysis, and package investment theses, replacing the manual work of stitching together research, models, and reporting across separate tools. The platform connects each step of the workflow so a team can move from a market question to an investment decision in a single session.

OnePatch builds an AI site-reliability engineer that instruments a team's production stack, monitors service behavior in real time, and drives incidents from detection through to a shipped fix. It targets fast-moving engineering teams who currently lose hours correlating logs, traces, and alerts across tools whenever a deployment breaks something. OnePatch replaces the manual on-call loop: triaging alerts, gathering context, and authoring the remediation.

Pendulum Robotics designs and manufactures custom motors and actuators for robotics and drone teams that need components built around a specific form factor and mission rather than off-the-shelf parts. Working from its Los Angeles factory, the company handles high-mix production using proprietary software and tooling, replacing the slow, generalist supply chains that hardware teams typically depend on for motion components. The target customer is a robotics or drone developer that would otherwise adapt their design to whatever standard motors the market offers.

OpenHack builds an AI security engineer for software teams, covering codebase scanning, automated penetration testing, supply chain analysis, and secret scanning. It ingests business context, system design, and developer intent to find and verify real vulnerabilities, then filters false positives and prioritizes findings by exploitability, replacing the manual triage and testing work a human security engineer would otherwise own.

OpenSEO builds an open-source SEO platform that gives founders and marketers keyword research, backlink analysis, rank tracking, site auditing, and AI-brand visibility tools, replacing paid subscriptions to tools like Semrush and Ahrefs. It also exposes SEO data directly to AI agents via an MCP server, letting tools such as Claude and Codex run keyword research, audits, and competitor analysis without a human in the loop.

OpEra applies mathematical optimization and AI to physical operations problems in retail, logistics, manufacturing, and agriculture. It targets VPs of Operations, supply chain leaders, plant managers, and COOs, replacing manual analysis and ad-hoc decision-making with automated, model-driven solutions. The work it displaces is the slow, labor-intensive operations research that organizations previously handled with internal teams or consultants.

Orca Aerospace builds an AI spacecraft operator that runs onboard the vehicle, replacing the ground-based human operators who currently fly each satellite through scheduled communication passes. The system decides what to do next to carry out the mission, hands execution to a deterministic planner, and filters every command through safety guardrails before it reaches the spacecraft. Satellite operators running growing constellations get continuous autonomous control between ground passes, cutting the latency and staffing load that today's console-driven ops rooms cannot scale to match.

ORO AI builds an open benchmark arena for e-commerce AI agents, running on the Bittensor network. Agent builders submit shopping agents that are evaluated daily against new, changing commerce tasks by independent validators in sandboxed environments. The strongest agent traces form a training corpus that ORO uses to develop its own model for long-horizon shopping tasks, replacing static test sets and manual evaluation of agent quality.

Papaya builds an optimization engine for AI agents already running in production. It connects to an engineering team's agents via SDK, scans production traces across prompts, context, tool calls, subagents, and models, and surfaces ranked recommendations to fix problems like context bloat, excessive tool calls, and serial API calls. Each approved fix is pushed directly to production as a pull request, replacing the manual work of reading traces and diagnosing agent inefficiencies by hand.

Perit.AI builds a data labeling and reinforcement learning platform for AI labs, connecting them with domain experts to produce high-quality training data. It replaces the manual, fragmented work of sourcing specialized annotators and running feedback pipelines that AI teams otherwise stitch together themselves.

Petrichor Bio builds wet lab infrastructure that lets AI agents design and execute real biological experiments and collect empirical data. The platform serves AI-driven research workflows, replacing the need for human-operated lab processes to run iterative experimental cycles. By closing the loop between AI reasoning and physical biology, Petrichor Bio enables AI systems to learn from live experimental results rather than static datasets.

Ploid builds people data infrastructure for developers and companies that need reliable, up-to-date information about individuals at scale. Its index covers over two billion people drawn from professional, social, and web sources, unified through entity resolution into a single profile. Developers access it via API, CLI, or MCP to power sales tools, recruiting products, customer intelligence, identity resolution, and AI agents, replacing a patchwork of static data integrations and stale exported records.

Preload builds motor-control infrastructure for physical AI systems, giving robots and autonomous machines the low-level coordination layer that translates high-level intent into precise physical action. The work it replaces is the custom, hand-engineered motor control stack that robotics teams otherwise build from scratch for each platform.

SuperRadiant builds general-purpose robotic experimentalists that combine scientific reasoning with physical action to run laboratory experiments autonomously. The systems observe, form hypotheses, and execute experiments in the real world, replacing the human researcher's hands-on trial-and-error loop across fields such as materials science, energy, and biotechnology. The target is any domain where discovery depends on physical contact with the world, not just digital analysis of existing data.

Quippy builds a daily social-skills training app for individuals who want to get better at high-stakes conversations. Users run short, simulated exchanges covering scenarios like pushing back on a manager or navigating a first date, then receive line-by-line feedback on what worked and what did not. The curriculum adapts to each person's recurring weak spots, replacing unguided rumination and replay with structured, private practice.

Quivly AI builds an agentic workspace for B2B post-sales teams, serving founders, customer success managers, account managers, and forward deployed engineers who manage enterprise accounts at scale. Its agents automate the work that currently lives across Slack threads, spreadsheets, and tickets: converting kickoff calls into launch plans, tracking blockers through to resolution, surfacing churn risk and expansion signals mid-contract, and assembling a complete account narrative at renewal.

Redoubt Insurance sells commercial insurance to small businesses, with a focus on contractors, trucking operators, and service providers. It handles policy placement, certificates of insurance, regulatory filings, and renewals, replacing the fragmented back-and-forth that typically falls on business owners. The agency uses automation for routine tasks and applies accumulated experience to tailor coverage to each customer's specific risk and compliance requirements.

Resin Technologies builds an AI-native electronic computer-aided design tool for PCB engineers. Starting from a set of requirements, engineers use it to research component choices, generate schematics, produce part symbols and footprints from datasheets, and route boards, replacing the manual, multi-tool workflow that spans library hunting, circuit drafting, and layout. The target user is any hardware engineer who designs printed circuit boards, from initial concept through manufacturing handoff.

Rhem Labs builds a home robot and companion hardware platform for aging adults living independently. The robot handles practical tasks, such as refilling prescriptions, booking medical appointments, ordering groceries, and arranging transportation, that family members or caregivers would otherwise manage. It also monitors health vitals, detects falls without a wearable pendant, and alerts family when something needs attention.

RightNow AI builds GPU kernel optimization infrastructure for serving open-source large language models tuned for AI agents. Its platform, RunInfra, exposes optimized model APIs with session-aware routing that keeps repeated agent calls on the same warm replica, cutting context-reload overhead. The product replaces closed-source inference APIs like OpenAI and Anthropic at lower cost, targeting developers building agentic applications.

River builds an AI desktop for knowledge workers: a project-based workspace where users research, write, and produce finished work alongside AI across documents, slides, sheets, and a browser in one place. It replaces the fragmented workflow of juggling files across separate apps and chat tools that lack project context. The target user is anyone doing multi-step creative or analytical work who currently stitches together output from disconnected tools.

Roma builds an AI-powered task manager for individuals who capture ideas, reminders, and to-dos on the go. It connects to a user's calendar, email, and files, then converts voice or text input into structured, actionable tasks without manual organisation. Roma replaces the friction of translating scattered thoughts into a managed workload.

Rystic builds stateful, local API simulators that let developers test and train AI agents against realistic stand-ins for services like Slack, GitHub, Stripe, and Kalshi without hitting live endpoints. Each simulator tracks state across calls and is continuously verified against the real API, so agent behavior tested locally matches production. It replaces ad-hoc mocking, sandbox rate limits, and the risk of running agents against live third-party services during development and CI.

Saccade builds an early-detection screening tool for Alzheimer's biomarkers, targeting patients at longevity clinics before any cognitive symptoms appear. A patent-pending attachment on a standard VR headset captures eye movement patterns during a 15-minute neurologist-designed assessment, then an ML model scores Alzheimer's risk against those patterns. The tool replaces late-stage symptom-prompted diagnosis, giving clinicians a window to intervene with FDA-approved treatments while they can still slow the disease.

Sentient OS builds an on-device AI agent for Mac that reads a user's emails, messages, files, and meeting transcripts overnight, builds a local knowledge base, and prepares completed work, drafted replies, flagged renewals, promised reports, ready to send with one click. A second mode, Sidekick, takes over the active task on screen via computer use while the user moves on. All inference runs locally on Apple silicon using a custom LiteRT-LM stack, so no user data touches Sentient's servers.

Shepherd Robotics builds general-purpose robots that perform skilled physical tasks in data center construction and advanced manufacturing. The robots handle work such as cable assembly, wire harness production, kitting, and factory packaging, jobs that resist conventional automation because they demand fine dexterity and tolerance for changing conditions. Underlying the hardware is a foundation model trained on real-world and simulated data so the robots can transfer skills across different workflows without task-specific reprogramming.

Shire Intelligence builds an AI floor manager for full-service restaurants, using the CCTV cameras already installed on-site. It tracks table states in real time, recognizing when guests are ready to order, when a check is needed, or when a section is overloaded, then alerts staff and routes new parties to servers who have capacity. It replaces the judgment calls a human floor manager makes by sight, and fills in the gaps a POS cannot see because it only records what staff manually enter.

Sigma delivers a managed data lakehouse service built for companies navigating acquisitions, handling the data infrastructure work that internal engineering and finance teams would otherwise own across deal preparation and post-close integration. The service targets B2B and financial services contexts where data consolidation across entities is a recurring, resource-heavy burden.

Silica builds force-sensing actuators for robots. Where conventional joints estimate force indirectly from motor current, Silica measures torque directly at the output, giving every joint real contact data. The hardware targets robotics developers working in manufacturing, lab automation, and robot training who currently write software workarounds to compensate for bodies that cannot feel.

Simantic builds a hardware simulation platform for embedded firmware development. Engineers and AI agents run, inspect, and test firmware against simulated microcontrollers and connected devices, replacing the need for physical silicon during development and validation. The platform gives both human developers and AI tooling the hardware-level visibility that was previously only available on real boards.

Simulithic builds autonomous user simulation for production monitoring. It learns real user journeys and continuously runs agent-based swarms across the actual devices, browsers, account states, and network conditions those users are on, catching broken flows, third-party failures, and regressions the moment they occur. It replaces manual QA on production and scripted end-to-end tests that miss the edge cases real users hit.

Sinter builds a full-stack plastics manufacturing pipeline for iteration-heavy hardware teams, taking them from same-day additive prototypes to small-batch injection-molded production parts on week-scale timelines. It replaces the slow, capital-intensive path of committing to expensive tooling or standing up in-house capacity, letting engineers revise designs and swap molds during active production runs.

Sintropix builds an AI-native ERP for companies operating across multiple Latin American countries. It automates bank reconciliation, multi-currency consolidation, and month-end close, replacing the manual accounting work that finance teams typically handle across spreadsheets and disconnected local tools. The platform surfaces a live financial snapshot, including cash position, burn, runway, and accounts payable and receivable, through an AI assistant called Erwin.

Sona8 builds a voice agent that conducts individual conversations with every employee about how their work actually operates, replacing the selective stakeholder interviews that consulting and transformation teams run manually today. Each worker speaks with the agent for roughly twenty minutes; the agent probes with follow-up questions and the output is process maps and structured problem lists organized by site and team. During rollouts the agent revisits employees to track whether changes landed, giving program leaders a continuously updated picture of operations across the whole organization.

Spine runs benefits, payroll, compliance, and people ops for startups and mid-market companies, replacing both the traditional benefits broker and the PEO. Dedicated senior HR and benefits specialists operate directly inside a company's existing HRIS, whether Rippling, Gusto, Deel, or ADP, handling open enrollment, multi-state tax compliance, onboarding, and employee support. The work it displaces is the back-office HR burden that founders, finance teams, and chiefs of staff otherwise carry themselves.

Stacktrace builds observability and policy enforcement for AI agent fleets. Engineering and security teams use it to inspect every tool call an agent makes, trace which MCP server, plugin, or hook was responsible, and block or gate unapproved components before they run. It replaces manual review of agent logs and ad-hoc access controls with a continuous, policy-driven layer that fires real-time alerts into Slack or Claude Code while a session is still active.

Streamline Systems builds a drop-in navigation module for UAVs that operates without satellite positioning. The module integrates with Ardupilot, INAV, and PX4 flight controllers, delivering centimetre-precision, EW-resistant autonomous flight where GPS is unavailable or unreliable. It replaces GPS as the primary positioning layer for both commercial and military drone operators.

Talos builds predictive maintenance hardware and software for large power transformers, assets that cost millions to replace and take years to source. Magnetic, non-invasive sensor devices attach to existing equipment in seconds, continuously capturing vibration, temperature, electromagnetic, and humidity signals, then running anomaly-detection models against each machine's learned baseline. When a fault surfaces, Talos delivers a root-cause analysis and specific remediation steps, replacing the reactive inspection routines that let problems compound until failure.

Terse builds open-source durable infrastructure for AI agents and agentic systems. It replaces Cloudflare Durable Objects with a higher-memory, SQLite-native, concurrency-safe alternative that developers can run themselves. Engineering teams building software factories, multiplayer collaboration tools, and multi-agent coordination frameworks use Terse to manage persistent state across their agents.

The Agentic Data Co. designs and collects audio datasets for training speech models, serving the frontier AI labs building the next generation of voice interfaces. It records real people in real conversations, consented and licensed at the source, replacing the scraped audiobooks, podcasts, and synthetic dialogue that current models depend on. That existing data fails to capture how people actually talk in conversation, producing models that mishandle turn-taking and intent; The Agentic Data Co. collects what the open internet cannot supply at the fidelity frontier training requires.

The Company Company builds an AI agent and the supporting infrastructure to operate businesses end to end, replacing the software, workflows, and human coordination that currently run day-to-day company operations. It targets B2B customers who want a single system to handle work that would otherwise be spread across multiple tools and teams.

The Subvocal Company builds Murmur, an under-chin wearable that reads jaw, tongue, and throat muscle signals to convert silent speech into text and computer commands in real time. It targets knowledge workers who need to send messages, capture notes, or control apps without typing or speaking aloud, replacing keyboard input and voice commands in situations where either is impractical. No microphone or camera is involved: the device decodes biosignals, previews actions before they fire, and lets users confirm or undo each command.

Theseus Robotics builds the operating system and physical AI stack that runs humanoid robots inside supermarkets. During store hours the robots fulfill e-grocery orders; overnight they restock shelves from back-warehouse inventory. This replaces the manual picking and shelf-filling work currently done by store associates across the last stretch of retail fulfillment.

Tilion builds browser infrastructure designed for AI agents running web operations at scale. It handles the blocking, detection, and failure modes that cause agent pipelines to break, so engineering teams do not have to build or babysit that layer themselves. Use cases include bulk data collection, automated web workflows, and continuous site monitoring.

Tire Swing automates tenant income certifications and eligibility evaluations for affordable housing properties operating under HUD, LIHTC, PBRA, HOME, and Housing Voucher programs. The platform reads and classifies supporting documents, validates extracted data against program-specific rules, manages applicant follow-up, and produces a fully auditable findings file. It replaces third-party compliance consultants and auditors, and reduces manual review work for in-house compliance staff.

TrueMile builds AI agents that run day-to-day operations for midsize trucking carriers. The agents source freight, plan weekly schedules, assign loads to drivers, and handle communications across customers, drivers, and dispatchers. When disruptions hit, such as a driver calling out or a load canceling, TrueMile coordinates the reassignments, plan changes, and notifications that dispatchers would otherwise manage manually.

twentyfour26 runs an autonomous CNC machining cell in San Francisco that delivers same-day metal parts from a STEP file upload. Hardware teams upload a design, the software checks machinability, generates a machining program, and cuts the part on-site, replacing the days-long back-and-forth of traditional machine shops. The service targets rapid prototyping by constraining the cell to a fixed envelope, materials, and tooling so accepted jobs move immediately from quote to cut.

UFO.ai builds a business agent operating system that learns a company's goals, tools, and workflows, then constructs and runs the automations a team needs to keep work moving. It targets B2B teams whose operations rely on stitching together disparate tools and manual coordination. The platform replaces the custom scripting, integration work, and operational overhead that would otherwise fall to engineering or operations staff.

UXDuck builds a modern ground control interface for drones, replacing legacy tools like Mission Planner and QGroundControl. It runs on ArduPilot and supports fixed-wing planes, multicopters, rovers, boats, and submarines. Developers extend it with sandboxed plugins, and an MCP layer lets AI agents interface with drone systems directly.

Veeza AI builds an AI agent that handles tourist visa applications end to end for travelers from countries that require visas to visit most destinations. Users upload a passport, answer a few questions, and Veeza prepares the application forms, verifies documents, and books a visa-center appointment, replacing the manual paperwork and embassy-scheduling work that travelers would otherwise do themselves or outsource to a visa agency.

Veltha operates as a third-party administrator for workers' compensation claims, serving self-insured employers, carriers, and MGAs. AI handles file organization, bill review, reserve tracking, and deadline flagging on day one, while licensed adjusters focus on claim decisions and claimant contact. The product replaces the manual, weeks-long paperwork cycle that defines legacy TPA operations.

Vexo builds a screenless AI bracelet that passively listens throughout the day, converts overheard conversations and spoken thoughts into private memories, and acts on them without waiting for a prompt. It books restaurants, sends follow-up messages, and handles errands by connecting to apps the wearer already uses. The product replaces the friction of manually logging reminders, drafting follow-ups, and switching between apps to complete routine tasks.

Viraj Aero develops steam injection turbine technology for aircraft engines, targeting decarbonization across civil and military aviation segments. At the core of its system are proprietary heat exchangers that increase turbine efficiency without sacrificing performance. The technology replaces conventional propulsion approaches that leave emissions reduction to fuel choice or airframe design, instead attacking the problem at the engine level.

Volaren Inc. builds a research and portfolio platform for individual investors who want to trade with the rigor of a hedge fund without a team of analysts. Users describe a strategy in plain English, backtest it against historical data, and convert a market view directly into a sized, trackable portfolio. The platform replaces the analyst workflow, from idea generation through quantitative modeling to ongoing position monitoring.

Vorelios builds a foundation model that predicts engineering physics directly from design inputs, replacing the numerical solvers that engineers currently run to simulate physical behavior. Where a conventional solver can take hours or days to evaluate a single design, the Vorelios model returns results in seconds, letting engineers explore broad design spaces rather than the few points a simulation budget allows. The company starts with aerodynamics and is extending the same model architecture across other engineering physics domains.

Moda builds an AI-powered creation tool that lets business teams produce fully editable slides, designs, and videos in one place. It targets marketing, sales, and design workflows where teams otherwise juggle multiple specialized tools. Moda consolidates that fragmented process into a single editable canvas.

Vyra builds an AI video editor for non-editors who have raw footage but no timeline skills. Users describe the edit they want in plain language, and Vyra cuts clips, syncs to music, adds captions, and exports a finished video, replacing hours of manual editing work in traditional tools like Premiere or CapCut.

Workers IO builds simulation environments that verify mission-critical software by running systems across millions of interleavings, fault conditions, and timing variations to surface the exact scenarios that break correctness guarantees. It targets engineering teams where high availability is a hard requirement, replacing manual testing and ad-hoc fault injection with exhaustive, automated verification. The product does the work of finding edge cases that conventional test suites miss.