a16z speedrun SR005 companies

Agent Astra builds an AI-native freight forwarding platform that owns and operates the logistics businesses running on it. The platform gives freight operators tools to move containers, track shipments, and manage complexity with a fraction of the headcount traditional brokers and forwarders require. It targets the full service range of a global logistics provider while compressing the workforce needed to deliver it.

Ambiguous AI builds a unified productivity workspace where AI agents and human teammates work side by side in the same apps on the same data. The suite covers 17 tools, including Docs, Mail, Chat, Sheets, CRM, and Calendar, each designed so every action a person can take an agent can also take natively. It replaces the hand-off friction of bolting AI onto existing tools by treating agents as first-class coworkers from the ground up.

Anchr builds a workforce of AI agents for food distributors and other physical operations businesses, automating the manual, repetitive work that runs across order intake, procurement, inventory management, and vendor coordination. Each agent plugs into the distributor's existing systems and handles discrete operational tasks, replacing the human hours spent routing orders, matching invoices, chasing vendors, and resolving unit discrepancies. The product targets the operational core of distribution businesses, where errors and delays compound across every transaction.

AndThen builds a voice-first interactive entertainment platform where users play through short, episodic experiences, such as game shows, mysteries, and character-driven stories, by speaking aloud. Each format is designed to be replayable and structured around real goals, replacing passive audio content with conversation-driven gameplay. Creators, writers, celebrities, and brands publish formats on the platform, with user-generated publishing on the roadmap.

Argu AI builds a natural-language video intelligence platform that turns existing CCTV cameras into configurable monitoring agents. Security and operations teams at ports, utilities, government facilities, and commercial venues describe what they want to detect in plain text, and the system creates alerts, searches, and analytics across thousands of cameras without writing code or retraining models. The product replaces lengthy procurement cycles, custom model development, and fixed preset-based surveillance systems.

Arise Labs builds an AI investment analyst that ingests unstructured data, constructs auditable investment theses, and executes decisions with the rigor of an institutional analyst. It targets portfolio managers and investors, replacing the manual research and decisioning work typically done by human analyst teams. The system is designed to run continuously, delivering institutional-grade coverage at any scale.

Artifact AI builds an AI agent platform for accounting and professional services firms, automating the manual work of bookkeeping, ledger posting, reconciliation, and financial close. It replaces human-hours spent on transaction review and reporting by deploying purpose-built agents that score entries, generate audit trails, and surface real-time client metrics. The target customer is the accounting firm looking to increase capacity without adding headcount.

Atrios turns well-connected individuals into a paid referral network for B2B software companies. Tastemakers share personalized links to vetted SaaS products and earn flat fees per booked meeting and larger payouts when a deal closes. The platform replaces cold outbound sales with warm introductions from people who already have relevant relationships.

Avenir AI builds AI agents that automate employee benefits management for self-insured employers and benefits brokers. The product analyzes claims, utilization, and regulatory data to optimize plans and vendor decisions, replacing the manual work brokers and HR teams currently do by sifting through large, fragmented datasets. It targets a market where legacy systems have made benefits administration both costly for employers and opaque for employees.

Axon builds brain-inspired AI models for high-frequency financial trading, where speed of prediction is the competitive edge. Its architecture anticipates market moves before full data arrives, cutting latency at both the model and infrastructure layers. The firm targets trading workflows that conventional low-latency systems and standard deep learning models handle separately, combining both into a single research-led stack.

Bead AI builds AI agents for internal audit teams, starting with Sarbanes-Oxley compliance testing. The agents collect evidence from source systems, validate submitted files, execute existing testing plans step by step, and produce marked-up working papers, replacing the manual document chasing, screenshot comparisons, and spreadsheet population that consume most of an auditor's time. The target customer is any US-listed company running an internal SOX audit program.

bins builds a peer-to-peer secondhand marketplace designed to replace the scroll-and-search model of platforms like Depop and Poshmark. Each morning, users receive a curated, finite set of resale clothing collections, called bins, rather than an open-ended catalog. The product targets style-conscious shoppers and casual sellers who want the tactile surprise of thrift-store browsing without leaving their phone.

BotBot gives non-technical teams, brand, design, marketing, and product, direct control over voice AI behavior without engineering tickets. Teams edit tone, pacing, persona, and upsell timing in plain English, run A/B tests against live customer conversations, and read the results in metrics like ticket size, CSAT, and containment. The product replaces static, launch-day configuration that otherwise runs unchanged on every call until someone files a ticket to change it.

Brief builds a product-context layer for AI coding agents, giving them access to the decisions, requirements, and institutional knowledge that live across tools like Linear, Jira, Notion, Slack, and GitHub. Product and engineering teams use it to keep agents aligned with existing product intent rather than letting them build against stale or missing context. It replaces the manual work of re-explaining decisions to every agent and the rework that follows when agents build without that grounding.

Azimov builds a proprietary engine that combines game-engine technology with multimodal AI models to power expressive, real-time AI characters. Its first product, Otherhalf.ai, puts those characters directly in consumers' hands. The company targets the gap left by text-only AI assistants, replacing chatbot interactions with AI companions designed for presence and emotional engagement.

Creed builds a Christian AI companion app for everyday believers, pastors, and ministry leaders. Users can ask faith questions by text or voice, with every response grounded in Scripture alongside readable verse references. The app replaces ad-hoc Google searches and generic devotional content with guided daily prayer, journaling, Bible reading, and plain-language Scripture explanation built around Christian values.

Dex builds an AI recruiter and career coach for software engineers, replacing the standard CV-and-job-board process with a conversational intake that maps each engineer's ambitions, motivations, and deal-breakers. It uses that profile to match engineers with tech companies and introduce them directly to hiring managers. On the company side, Dex surfaces pre-qualified, often passive candidates who are matched on fit rather than keyword overlap.

Dispatcher builds an aerial intelligence platform that converts commercial drones into autonomous agents capable of making real-time decisions without a human operator in the loop. Security teams, construction sites, agricultural operations, and heavy industry use it for automated perimeter patrols, incident response, and asset monitoring, replacing manual drone piloting and after-the-fact data review. Operators issue commands in natural language and receive live alerts, heatmaps, and reports through app, SMS, and dashboards.

doublespeed builds autonomous social media accounts that post, engage, and grow audiences on TikTok and Instagram around the clock. Brands and marketers use it to drive organic attention at scale across any demographic niche, replacing the human labor of creator sourcing, content production, and community engagement. Each agent learns from performance data over time, making future content more effective.

EverCurrent builds an AI-native platform of record for hardware engineering teams, connecting bills of materials, ECOs, handoffs, and team decisions into a single view. It automatically documents changes across tools and teams, ties each decision to its broader context, and surfaces dependency risks before they become costly. The product replaces fragmented, manual tracking of hardware changes that leaves teams blind to downstream impacts.

Ezra AI Labs builds a voice AI interviewer for corporate recruiting teams, replacing the initial human screening call. Recruiters send candidates a structured voice interview conducted by the AI, which captures spoken responses that resume reviews and text-based screens cannot surface. The product targets the gap created by AI-generated resumes and coached answers by evaluating candidates on nuance and authenticity at scale.

Fearn handles patent prosecution for startups, replacing the slow, expensive billing model of traditional Big Law firms. Former Big Law patent attorneys review every filing, and AI handles the drafting work that previously drove up hours and cost. Startups get portfolio-grade patents on days-long turnarounds instead of quarters-long ones.

First Voyage builds a mobile self-care app centered on Momo, an AI-powered mythological creature that turns daily wellness habits into a game. Users complete small quests around sleep, journaling, and personal routines, earning in-app coins to customize Momo and its world. The product replaces passive habit trackers with an immersive, character-driven loop designed to keep people returning to their routines daily.

Forgepoint builds AI agents for the manufacturing back office, starting with Frank, an AI inside sales rep that handles the full RFQ-to-quote workflow for job shops and industrial manufacturers. Frank qualifies incoming requests, prices parts against the shop's cost model, sends quotes for human approval, follows up with customers, and logs every action to the CRM and ERP. It replaces the manual quoting work done by sales reps, estimators, and engineers across injection molding, metal fabrication, CNC machining, and adjacent trades.

General Magic builds a suite of insurance-specific AI agents that handle the operational workload inside insurance brokerages: underwriting questions, customer servicing, and compliance review. Edward answers appetite and eligibility questions by citing carrier manuals directly, replacing manual document searches. Ava services policyholders around the clock over email, text, and voice, handing off to a licensed broker with full context when needed, while Peter reviews every conversation for quality and compliance.

Jigsaw builds post-training data for recursive self-improvement, selling to frontier AI labs working toward advanced AI systems. The team converts AI research and development into verifiable, gradable tasks, then supplies the resulting artifacts as post-training data, replacing the ad-hoc and hard-to-evaluate methods labs currently use to generate training signal for self-improving models.

Jooba runs end-to-end recruiting for high-growth teams, replacing the work done by traditional staffing agencies and in-house recruiters. AI agents handle sourcing, outreach, scheduling, and reporting, while hiring managers review shortlisted candidates and schedule interviews directly inside Slack. The product targets the top of the hiring funnel, delivering vetted candidates without requiring teams to manage the search themselves.

Kanu AI builds an enterprise AI platform that converts repeatable internal workflows into purpose-built software driven by a firm's own data, documents, and institutional knowledge. It targets data-heavy financial services verticals, including commercial real estate, private equity, insurance, and financial services, replacing manual research, analysis, and reporting work that teams currently do by hand. The platform connects disparate data sources, lets users query them in plain language, and delivers finished outputs in the formats teams already use.

Kintow automates back-office operations for restaurants, connecting fragmented point solutions, such as POS, scheduling, invoicing, and banking, into a single system that tracks food costs, labor, and cash flow. It replaces manual forecasting and ordering by anticipating demand and sending vendor orders automatically, freeing managers from spreadsheet work. The target customer is multi-location restaurant operators whose general managers currently juggle disconnected tools to run daily operations.

Lekondo builds a social platform centered on fashion, giving consumers a dedicated space to discover, discuss, and engage with style outside of general-purpose social networks. The product targets fashion enthusiasts and replaces scattered fashion conversation that currently happens across mainstream social media.

Limy AI is a New York-based marketing technology company founded in 2025 that helps brands understand and improve how they appear within AI-powered search experiences. As AI agents increasingly surface product and brand recommendations directly to consumers, Limy provides a platform for marketers to monitor how those agents discover, represent, and cite their brand, then connect that activity to downstream pipeline and revenue. The platform appears to offer visibility into prompts, citations, and competitor comparisons within AI search, alongside attribution tooling that links AI-driven traffic to measurable business outcomes. The company reports serving Fortune 500 brands and has grown to a team of 35.

Loan Labs is a Los Angeles-based fintech startup, founded in 2024, that builds AI-powered digital workers designed to automate the manual, repetitive tasks embedded in mortgage loan processing. The company's flagship product, LOIS, acts as an AI loan processing assistant that collects and organizes borrower documents, extracts structured data, flags inconsistencies, automates borrower follow-up communications, and surfaces issues to loan processors, salespeople, and underwriters in real time. The core problem Loan Labs addresses is the deep operational fragmentation in the mortgage industry, where loan teams typically juggle disconnected tools—email, point-of-sale systems, loan origination systems, and file management platforms—resulting in delays, errors, and high labor costs. By automating these workflows, Loan Labs aims to let human staff concentrate on higher-judgment work and close loans more efficiently. The company appears to have longer-term ambitions to expand LOIS beyond processing into underwriting, closing, and capital markets operations.

Logical Health is a Palo Alto-based healthtech startup, founded in 2025 and spun out of a Stanford research lab, that works to reduce avoidable waste in the U.S. healthcare system by making insurance coverage information more precise and accessible. At its core, the company has built a proprietary rules engine that converts health insurance policy language into formal, machine-readable logic, allowing AI to deliver fast and accurate answers about coverage rather than relying on probabilistic guesses. This technology appears to already be in production use with at least one large insurer. On the member-facing side, Logical Health deploys AI-driven conversational outreach—primarily via text—to help health plan members understand their benefits, close gaps in care, manage medications, and complete key actions such as booking appointments or completing intake steps. Rather than adding to the pile of ignored emails and unanswered calls, the platform identifies the specific barrier preventing a member from acting and resolves it within the same conversation thread.

Luvu, operating under the brand name Basis, is an early-stage San Francisco startup founded in 2025 that appears to be building a consumer-facing platform centered on human data or personal context as a foundation for frontier AI agents. With a team of five, the company seems focused on capturing and organizing the "human layer" — personal history, preferences, and context — that AI agents can draw on to act more meaningfully on a person's behalf. The core premise appears to be that AI agents are only as useful as the human context behind them, and Basis aims to provide that grounding layer.

Margin is a New York-based fintech startup, founded in 2025, that is building AI-native consumer credit infrastructure. Its initial product is a credit card that uses artificial intelligence to analyze individual spending behavior and adjust rewards dynamically in real time, rather than offering the static, one-size-fits-all benefits typical of traditional card programs. By surfacing more precise behavioral signals, Margin allows brand partners to offer more relevant incentives to their customers, which the company frames as a way to deepen loyalty and unlock new monetization possibilities. Beyond credit cards, Margin appears to be positioning itself as a broader platform for personalized consumer credit products, with ambitions that extend to categories such as mortgages.

Metal is a Los Angeles-based fintech and AI company, founded in 2023, that builds an end-to-end software platform designed to streamline the fundraising process for startup founders and their teams. By combining broad industry data with a company's own internal context, the platform brings intelligence and structure to the various workflows that make up a capital raise — from tracking outreach to synthesizing investor information. With a team of 22, Metal appears to be targeting the operational complexity that founders face when running a fundraising process and aims to reduce the manual effort and guesswork typically involved.

Moescape AI is a San Francisco-based creative platform, founded in 2023, that lets anime fans design original characters and then bring them to life through AI-generated images, videos, music, and synthesized voices. Users can also hold ongoing conversations with their characters through an interactive roleplay feature called Tavern, which is powered by large language models. Rather than offering isolated tools, Moescape combines character creation, media generation, and social sharing into a single environment, allowing a community of fans to build and explore interconnected fictional worlds together. With a team of 14, the company appears to be positioning itself as a comprehensive destination for anime-inspired user-generated content.

Moona Health is a San Francisco-based digital health company, founded in 2024, that provides online Cognitive Behavioral Therapy for Insomnia (CBT-I) through a network of licensed clinicians. The service is designed to be accessible to the roughly one in three Americans who struggle with sleep, offering a medication-free, evidence-based alternative to pills or wearables. Patients meet with clinicians virtually for personalized, one-on-one care that includes an initial assessment, follow-up therapy sessions, and between-session messaging support. Behind the scenes, Moona's AI platform automates insurance claims processing and appointment scheduling, and analyzes sleep data to generate personalized session guidelines for its clinicians — allowing the network to scale without proportionally increasing administrative overhead. The company appears to be growing rapidly, driven by referrals and health system partnerships rather than paid advertising.

Nexxa.ai is a Sunnyvale-based company founded in 2023 that builds specialized AI agent software for heavy industrial sectors such as manufacturing. Rather than offering generic, one-size-fits-all enterprise software, Nexxa develops purpose-built autonomous agents that connect with a company's existing legacy systems and complex operational workflows. These agents are designed to go beyond surface-level recommendations — they actively execute tasks, writing directly into systems of record to automate critical engineering and operational processes. The result is a software stack that appears to encode a company's own institutional knowledge and decision logic, making it owned and continuously improved by the customer rather than dependent on an outside vendor's roadmap.

Ocoder is a San Francisco-based startup, founded in 2025, that provides an AI-assisted development environment designed for non-technical roles such as designers and product managers. Rather than replacing engineers, the tool allows these users to work directly with existing codebases, prototype new features, and communicate technical ideas more effectively with their engineering counterparts. By lowering the barrier to hands-on product development, Ocoder appears to bridge the gap between technical and non-technical team members within software organizations.

Oleum is a New York City-based startup, founded in 2025, that builds AI-powered tools designed to help organizations work with data more quickly and effectively. The team, composed largely of former quantitative finance professionals, brings a rigorous, analytically driven perspective to data tooling. Oleum appears to be working toward becoming a foundational infrastructure layer for businesses that rely heavily on data to operate, spanning industries such as fintech and beyond.

Pen.dev (formerly Pencil.dev) is a California-based startup founded in 2025 that makes an agentic design canvas aimed at software engineers. Instead of treating design as a separate phase that produces handoff documents, the tool embeds a full-featured design environment directly inside a developer's existing workflow. Engineers and AI agents can create, iterate on, and refine UI designs on an open-format canvas that lives alongside the codebase. The canvas supports importing live web pages or Figma components, drawing vector paths, applying real-time shader effects, and managing UI libraries—all rendered smoothly through a custom WebGL pipeline. Because the format is open and codebase-native, the design artifact and the production code stay in the same place rather than in separate tools.

Prepp is a Chicago-based edtech startup founded in 2025 that builds AI-powered tools for students and educators. The company develops modular software addressing both the administrative and instructional sides of education, covering areas such as learning material creation, automated grading, attendance tracking, and student engagement. By tackling these distinct pain points through focused, composable modules, Prepp appears to be working toward a more comprehensive reimagining of how educational institutions operate day-to-day.

Presia is a San Francisco-based enterprise software startup, founded in 2025, that builds AI agents designed to automate the repetitive, manual work that occupies a significant portion of management consultants' time. By handling lower-value task execution, the platform aims to free consultants to concentrate on analysis, problem-solving, and client collaboration. The two-person founding team appears to combine backgrounds in top-tier management consulting, quantitative trading, and academic AI research, positioning them to build tooling that is credible within the professional services industry.

Rork is a San Francisco-based startup founded in 2024 that lets anyone build native mobile and web applications by conversing with an AI assistant — no prior coding experience required. The platform generates real, installable iOS and Android apps as well as web apps, and supports the full journey from initial prototype through App Store submission. Rork also offers complementary infrastructure layers covering backend services, authentication, data storage, real-time functionality, and multi-modal AI capabilities, making it a relatively self-contained environment for non-technical and semi-technical app creators. The team of seven appears to be targeting the large population of aspiring "app founders" who have product ideas but lack traditional software development skills.

Sans Strings Studio is a San Francisco-based transmedia production studio, founded in 2023, that builds entertainment properties designed to live simultaneously across gaming, film, social media, and live events. The studio uses real-time technology and a proprietary cross-platform asset pipeline called the F.E.L.T. system to develop interactive, linear, and live content from a single production workflow. This approach allows intellectual property to reach audiences on traditional screens, interactive platforms, and social networks without requiring separate production pipelines for each format. With a team of ten, the studio appears to position itself at the intersection of generative AI tools and human creative craft, aiming to reduce the financial risk typically associated with large-scale content production while maintaining production quality.

Shockwave is a Los Angeles-based casual gaming platform that combines AI capabilities with deep gaming industry experience to build and deliver daily games at scale. Founded in 2024, the 12-person team operates across a broad range of genres — from word and puzzle games to action, strategy, and hidden object titles — targeting the large and growing casual gaming market. The platform emphasizes daily play habits, drawing on the popularity of games like Wordle as evidence that short, recurring game sessions have broad appeal well beyond traditional gamers. With approximately 180,000 daily active users and over $2 million in revenue, Shockwave appears to be gaining meaningful early traction in the space.

Sonatic is a San Francisco-based startup, founded in 2025, building an AI-powered desktop assistant aimed at knowledge workers. Rather than requiring users to issue explicit commands, the product observes how someone works across their everyday tools, learns their habits and preferences, and then carries out routine tasks on their behalf. The goal is to reduce the manual overhead of repetitive work so that people can direct their attention toward higher-order thinking and decision-making.

SoulLink is a Los Angeles-based consumer AI startup, founded in 2025, that builds interactive virtual companion experiences. The company combines high-fidelity 3D character rendering, drawn from techniques common in AAA game development, with emotionally responsive AI to create persistent digital companions that users can form ongoing relationships with. Its flagship app features a cinematic AI companion with layered memory, real-time interactive chat, and a three-dimensional presence, targeting a broad consumer audience seeking meaningful, personalized social connection through technology. An official public launch is slated for September 2026, with a beta already available on iOS and Android.

Sounding is an early-stage Los Angeles-based startup, founded in 2025, that builds voice-first AI applications focused on consumer wellness. The company appears to tackle one of the persistent challenges in health and wellness: getting people to consistently follow through on healthy behaviors over time. By centering its product around voice interaction, Sounding likely aims to reduce friction in wellness routines and make healthy habits more accessible and engaging for everyday users.

Sourcerer is a San Francisco-based startup, founded in 2025, that operates as an AI-native distributor for global supply chains. Rather than simply offering procurement software, the company positions itself as a full-stack distributor: its autonomous AI agents handle the entire sourcing lifecycle on a buyer's behalf, including finding and vetting manufacturers, negotiating pricing, arranging freight, conducting quality checks, and offering trade credit—all through a single workflow. Buyers submit a product specification or invoice in plain language and receive a single consolidated quote; Sourcerer fulfills the order end-to-end, sourcing from supplier networks across Asia, Latin America, and the United States. The platform appears to draw on proprietary AI to process complex inputs such as tariff data, logistics constraints, and supplier pricing signals that would traditionally require weeks of manual email and spreadsheet work.

Syzygy, operating under the brand Maniac (maniac.ai), is a San Francisco-based AI infrastructure startup founded in 2025. The company builds technology that allows enterprises to run and own their own task-specific AI models rather than relying on third-party model providers. Its flagship platform, Pioneer by Maniac, orchestrates a proprietary model layer by connecting a customer's live inference pipelines, evaluation tools, and post-training workflows — positioning AI outputs as the customer's own intellectual property. In parallel, the company develops ultra-efficient on-device models under the Mach product line, targeting Apple Silicon hardware, including a 35B mixture-of-experts model that runs on Macs with 16 GB of memory and retains 96.3% of benchmark performance relative to a full-precision teacher model. The broader product suite includes Mach Studio (a desktop app for local model interaction), Mach Engine (a local inference engine for Apple Silicon), and Mach Agents (a TypeScript SDK for building agents with small and local models).

Taya is a San Francisco-based consumer hardware startup founded in 2024 that designs AI-powered jewelry. Its debut product is a stainless steel pendant on a gold-plated chain that functions as a voice-activated memory capture device: wearers press a button, speak naturally, and the accompanying app organizes those recordings into a searchable, chronological timeline. The team — drawn from Apple hardware engineering and Stanford product design programs — appears focused on closing the gap between functional technology and everyday personal accessories, positioning the necklace as an ambient layer of recall rather than an obvious piece of tech. With a five-person team, the company is at an early stage and is currently accepting preorders for its first product.

URSA Mining is a San Francisco-based robotics startup founded in 2024 that is building an operating system designed to retrofit existing mining equipment with autonomous capabilities. Rather than requiring mines to replace their fleets, URSA's software and physical AI stack appears to layer autonomy onto machines already on site, enabling them to move earth with minimal human intervention. The company traces material movement from extraction through delivery, giving operators detailed visibility into production. It is conducting a pilot at what it describes as the largest active alluvial gold mine in the United States, and its five-person team includes people with backgrounds in physical AI, robotics, and remote operations. The founding team combines firsthand mining industry experience with academic physics research.

Variant is an early-stage San Francisco startup, founded in 2025, building a social platform centered on playable, interactive content. The platform lets users convert everyday ideas — text snippets, memes, doodles, or short narratives — into shareable mini-games using the company's proprietary AI models and design tooling. Once created, those mini-games can be remixed by other community members, played live, and distributed across platforms such as TikTok, Discord, and Reddit. Variant appears to sit at the intersection of user-generated content, casual gaming, and generative AI, targeting a generation of creators and communities that communicate through participatory media rather than passive posts.

Vega is a New York-based social networking startup founded in 2025 that uses artificial intelligence to surface meaningful relationship recommendations. Users leave short written notes about the people they know, and in return receive notes others have written about them. The platform's models process these human-written observations to assemble what Vega calls "social orbits" — tightly curated groups of people a user is likely to benefit from knowing, ranked and contextualized by factors such as mutual connections, perceived trust, and shared experiences. The core premise is that honest, informal peer notes contain richer relationship signal than traditional social graph data, and that aggregating them at scale unlocks a new kind of people-discovery layer.

YKB ("You Know Ball") is a Los Angeles-based mobile app, founded in 2024, that adds a social and predictive layer on top of sports fandom. Rather than serving traditional bettors, the product targets everyday fans who want to make calls on games and news events, track their own prediction history, and compare takes with friends. When sports news breaks, an AI agent generates interactive prompts — called "Receipts" — that invite fans to react and go on record with their opinions. Those Receipts are then stored, surfaced, and scored over time, giving users a transparent, shareable track record of how well they "know ball." The app launched an NFL beta in September 2024 and has since seen over one million Receipts created, with strong week-over-week growth. The team of three appears to be building toward expanding the format beyond sports into broader areas of culture.

Zero Billion is a San Francisco-based consumer research lab founded in 2024 that operates at the intersection of AI-generated media and human data collection. The company runs two connected lines of work: a consumer studio that ships AI-powered apps — most notably an AI TV show platform where shows can be produced in under an hour for a fraction of traditional production costs — and a consent-first data marketplace where everyday people contribute audio, video, screen recordings, expert judgment, and other signal types in exchange for direct payment via Stripe. By observing how millions of users interact with its consumer apps, Zero Billion generates behavioral insights that feed back into its research and data products. The platform appears to have reached meaningful early traction, with a top-10 iOS ranking in its category and an annualized revenue run rate in the millions, all with a team of four.

Zingroll is a San Francisco-based streaming platform, founded in 2024, that allows creators to produce and distribute AI-generated shows and movies. Rather than relying on traditional studios or production budgets, the platform empowers individual creators — particularly younger, digitally-native ones — to build serialized, high-production-quality content using generative AI tools. Viewers can watch this content on the platform much like a conventional streaming service. With a team of 33 people and over 150 million reported organic views, Zingroll appears to be gaining meaningful early traction in the AI-generated media space.