Breaking
$5.5M SEED - Klaimee raises to insure autonomous AI agents YC P26 - First liability insurance built for AI agents 8 RISK DIMENSIONS - Agents graded A through F 100+ PROBES - Prompt injection, jailbreak, data leakage LED BY FUNDERSCLUB - Pioneer Fund, Robinhood Ventures, YC join $5.5M SEED - Klaimee raises to insure autonomous AI agents YC P26 - First liability insurance built for AI agents 8 RISK DIMENSIONS - Agents graded A through F 100+ PROBES - Prompt injection, jailbreak, data leakage LED BY FUNDERSCLUB - Pioneer Fund, Robinhood Ventures, YC join
Company Profile / Insurtech & AI

Klaimee Sells Insurance for the One Thing Nobody Else Will Cover: Your AI Agent

Cyber and E&O policies explicitly exclude autonomous agents. Klaimee tests them, grades them, and puts a real counterparty behind the risk - so enterprise legal will finally sign off.

There is a question sitting under every AI-agent demo, and it is not "how smart is it." It is quieter than that, and it comes from the legal department: if this thing does something wrong, who is on the hook? An agent that reads your CRM, drafts your emails and moves money does not carry a driver's license or a professional indemnity policy. When it fails - wires the wrong account, leaks a record, takes an action nobody authorized - the claim lands in a gap. Klaimee built a company to fill that gap.

Klaimee is a San Francisco startup in Y Combinator's Spring 2026 batch, and its pitch is one line long: you deploy agents, we cover you. It sells the first liability insurance written specifically for autonomous AI agents, plus the testing and paperwork that make the coverage mean something. In July 2026 it raised a $5.5 million seed round to build it out.

$5.5MSeed raised, Jul 2026
8Risk dimensions scored
100+Adversarial probes fired

The ProblemThe insurance industry wrote AI out of the policy

Traditional cyber and errors-and-omissions policies were drafted for a world where software did what a human told it to. Agentic AI does not fit that shape - it makes independent decisions inside a workflow - so insurers handle it the way they handle anything they do not understand yet: they exclude it. The result is a coverage hole exactly where enterprises are moving fastest. A vendor selling an AI agent into a bank, and the bank buying it, both discover the same thing when they read the fine print. Nobody is holding the bag.

Enterprise procurement and legal won't sign off on an AI agent without proof of coverage. Klaimee gives them exactly what they're looking for.

- Klaimee, on why the certificate matters more than the pitch

That is the wedge. Klaimee's founders compare the moment to the early 2000s, when cyber insurance barely existed until a wave of breaches forced carriers to invent it. AI-agent liability, they argue, is on the same curve - and the company that defines the risk model first tends to own the category.

The ProductTest the agent, grade it, then insure it

Klaimee does not just write a policy and hope. Before coverage is offered, an agent goes through a structured evaluation built from three blocks: a scan of public data, a governance assessment of roughly 30 questions about how the agent is controlled, and behavioral testing that fires more than 100 adversarial probes - prompt injection, jailbreak attempts, data-leakage tests - to see what breaks. Out of that comes a score across eight risk dimensions and a letter grade.

The eight dimensions Klaimee scores
1Scope violation
2Data exfiltration
3Unauthorized action
4Output integrity
5Adversarial manipulation
6Behavioral instability
7Model drift
8Operational control failure
How the grade is built. Each axis maps a way an agent can go wrong. Together they roll into a single A-F rating that sets the premium.
A
B
C
D
F

Better grade, lower premium. The score and the price move together.

Pass, and the agent gets a certification pack: a risk score, an evaluation report, remediation recommendations, a "Klaimee Certified" badge, and procurement-ready documentation. Bundled with it is a financial guarantee - a backstop for residual risk - and, on top, the actual liability insurance, with premiums tied to how the agent scored. There is also a free adversarial testing playground where teams can stress their agents before they ever apply.

From application to coverage
Step 1

Apply

A short declarative application and an audit of the agent's stack and policies.

Step 2

Evaluate

Scored across eight dimensions; 100+ probes fired in the testing block.

Step 3

Cover

Report, badge and guarantee issued within days, with insurance priced to the grade.

The turnaround is the point. Klaimee markets a fast cycle so the certificate arrives before the deal goes cold.

Who Buys ItThe two sides of an AI deal

Klaimee's customers sit on both ends of the same handshake. On one side, AI vendors building and selling agents - especially into B2B - who need proof of coverage to get past enterprise procurement. On the other, enterprises deploying agents internally: CRM agents, support agents, code agents, financial agents, email agents. The coverage splits along the same seam, protecting against third-party harm (a customer's claim, the cost of defending it) and against an organization's own damage (corrupted data, bad internal transactions, system failures). It is deliberately narrow in one respect: Klaimee stays out of autonomous vehicles, robotics and physical-world safety. This is software risk, not crash risk.

Klaimee launch - insuring AI agents
The launch, in plain English. Klaimee's own explainer frames the sell the way a procurement officer hears it: no certificate, no signature.

The FoundersAn insurance operator and an engineer

The company was started by Ines Boutemadja, co-founder and CEO, and Julien Catonnet, co-founder and CTO. Boutemadja is not new to building insurance from nothing - before Klaimee she ran a consumer insurance product at SafetyWing, itself a YC company, and scaled one line from $5 million to $60 million in revenue while structuring the carrier and MGA relationships underneath it. She studied at HEC Paris and NUS, speaks five languages, and is the first Algerian woman to go through Y Combinator. Catonnet handles engineering and enterprise compliance, coming from corporate strategy consulting and software roles at venture-backed startups.

The pairing is the thesis. Insuring an AI agent needs an underwriter's discipline and an engineer's testing rig in the same room, which is why Klaimee's team reads less like a typical AI startup and more like a small, deliberate two-person bet.

Critical-category risk evaluation, certification, financial guarantee, liability insurance and the documentation enterprise procurement needs to sign off.

- Ines Boutemadja, Co-founder & CEO

The MoneyWho backed it

The $5.5 million seed, announced in July 2026, was led by FundersClub, with Alexander Mittal running the round. The syndicate around it reads like a checklist of AI-and-fintech-friendly names: Ex/ante, Pioneer Fund, Multimodal Ventures, Kima Ventures, Rebel Fund, Robinhood Ventures, Y Combinator, and a set of angels. For a two-person company, it is a well-stocked cap table - the kind that suggests investors are buying the category more than the current headcount.

2026Founded, San Francisco
P26Y Combinator batch
1stInsurance built for AI agents

Where It FitsA new line on an old ledger

Klaimee's real competition is not another startup so much as the exclusion clause. Existing cyber and E&O carriers technically occupy the space but decline to cover the risk; a scattering of AI-assurance and red-teaming vendors handle testing but stop short of putting money behind their verdict. Klaimee's bet is that the winning shape is all of it in one product - test, certify, guarantee, insure - so a buyer gets both a number and a counterparty. If agentic AI keeps moving into places where mistakes cost money, the certificate Klaimee prints could become the thing procurement teams start asking for by default. That is the wager. The claims history that proves it out has not been written yet.

ai agentsagentic aiai insuranceliabilityinsurtechcertificationrisk evaluationadversarial testingy combinatorenterprise aicomplianceseed fundingsan francisco