Other / unclassified
Measured-window members of AI Agents that could not be assigned to a narrower shared YC tag or industry without forcing a classification.
32/615 → 22/739; -2.23 percentage points of formation share.
What stands out across this batch is how little "AI agent" now means a chatbot with tools bolted on, and how much it means a narrow worker dropped into one regulated, paperwork-heavy corner of an old industry: Cedalio in accounts payable, Flair Labs in mortgage servicing, Cozmo AI in property claims, dili in construction compliance, GovEagle in government contracting, Entvin in life sciences regulatory work. The infrastructure layer has split off cleanly from that vertical layer, with DAGWorks and Boundary building the plumbing (orchestration tooling, a purpose-built language in BAML) that the vertical agents quietly depend on rather than competing with them. That split is also why growth here so outpaces the related "Security" formation, up just 1.93× against this formation's 11.38×: agent building blocks matured faster than the compliance and security tooling needed to govern them, even though companies like Agency, Dynamo AI, and Overwatch exist specifically to close that gap. The surge lines up with the arrival of reliable function-calling and tool-use in mainstream LLMs starting in 2023, which is precisely when most of these companies were founded, turning agents from a research demo into something that could be pointed at a real invoice queue or claims file. The open question the roster leaves unresolved is whether the compliance-focused entrants are a permanent second track or just a temporary tax on a category that shipped faster than its own guardrails.
AI Claims Investigator for Insurance. Hesper AI builds AI agents that investigate P&C insurance claims end to end. Hesper’s agents read the claim file, detect tampered documents, verify facts, check coverage, flag inconsistencies, and produce an audit-ready case file in minutes, so insurers can check every claim. We work with Claims and SIU orgs at Carriers, MGAs and TPAs,
AI-native OS for insurance brokers. Covera builds AI agents for insurance brokers. Our ready-to-use agents take over the day-to-day servicing work: submission intake, carrier quoting, quote comparison, claims handling, past-due collections, and account rounding. That means brokers can spend their time advising and selling clients instead of doing data entry. We work with agencies of every size and connect natively to the tools they already use.
Durable state for AI agents. We build infrastructure to power agentic systems such as software factories, multiplayer agent frameworks and agent coordination.
AI for the industries that power America.. Applied Kinetics builds and deploys specialized AI employees to handle the coordination work behind America's energy and data center buildout. Our agents chase suppliers, track equipment approvals and delivery dates, and flag delays so project teams can keep critical equipment moving without hunting for updates across emails and spreadsheets.
Continuously improving evals for agentic commerce. We're building the open benchmark for commerce. Builders submit shopping agents. Independent validators run them against problems that change daily. The best agent earns the rewards, and every run becomes training data.
Nervous System for AI Agents.
AI agents that run small businesses. Async builds agents that change how businesses can run. Law firms, healthcare clinics and real estate companies hire our AI agents to automate complex work that's never been economical to staff with humans, letting us capture labor spend that didn't previously exist.
The identity and communication layer for AI agents. For your AI agents to behave like teammates, we give them persistent identities with their own email, phone, and iMessage. We also provide them an agent-to-agent channel, so they can communicate for task delegation.
Applied AI for Governments.. Stratum Industries is the applied AI company for governments. We build AI agents that automate the slow, complex manual workflows governments run on, starting with application review, where files are still reviewed by hand, one at a time, leaving millions stuck in queues. Stratum's agents review applications end to end with a human in the loop and full auditability, clearing entire backlogs in a fraction of the time. Our mission is to deploy AI across every vertical inside the government, saving agencies tens of billions in administrative cost and making the government one of the most efficient institutions in the world.
Building multi-agent simulations for model evals and training.. Multi-agent environments let us evaluate and train models in complex, simulated worlds. We work with researchers on both evaluations and training for character and agentic performance typically difficult to assess for using current popular datasets. Play one of our first releases, Multi-Agent Arena (https://olamlabs.ai/arena), where humans come play social strategy games against multiple AI agents. It's currently top 50 on OpenRouter and has thousands of matches played each day. We use Multi-Agent Arena to build datasets on agentic performance and real-world socialization.
Measured-window members of AI Agents that could not be assigned to a narrower shared YC tag or industry without forcing a classification.
A primary internal company segment within AI Agents, derived deterministically from the shared yc industry “Insurance”. This is a classification of current window members, not a causal layer or a separate time trend.
A primary internal company segment within AI Agents, derived deterministically from the shared yc industry “Infrastructure”. This is a classification of current window members, not a causal layer or a separate time trend.
A primary internal company segment within AI Agents, derived deterministically from the shared yc tag “Energy”. This is a classification of current window members, not a causal layer or a separate time trend.
A primary internal company segment within AI Agents, derived deterministically from the shared yc industry “Engineering, Product and Design”. This is a classification of current window members, not a causal layer or a separate time trend.
No comparable outside activity is connected yet.
These share a word with “AI Agents” but are tracked as separate categories. The real overlap below is the actual share of AI Agents’s companies also found in that category — not a guess.
Cambrian Signal, “AI Agents,” publication yc-2026-10-02-semantic-v8, snapshot October 2, 2026.
cambrian.jafar.com/formation/ai-agents