Klaimee
Contact SalesLiability insurance for autonomous AI agents – covers third-party and own damage.
By Tanmay Verma, Founder · Last verified 05 Jul 2026
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Added 6d ago
75/100Safe BetIn short
Klaimee — Liability insurance for autonomous AI agents – covers third-party and own damage. Best for AI vendors building and selling autonomous agents to enterprise clients, Enterprises deploying AI agents internally in non-safety-critical B2B use cases, Startups needing to pass enterprise procurement reviews requiring AI liability coverage. Contact Sales pricing.
Is Klaimee actually worth it?
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Editorial Verdict
Best for
AI vendors building and selling autonomous agents to enterprise clientsEnterprises deploying AI agents internally in non-safety-critical B2B use casesStartups needing to pass enterprise procurement reviews requiring AI liability coverageCompanies using AI voice agents for customer-facing tasks like debt collection or support
Not ideal for
Autonomous vehicles, robotics, or physical-world safety systemsConsumer-only AI products with no enterprise or vendor contextCompanies using only human-written software (not autonomous AI agents)Organizations wanting coverage for traditional cyber incidents or human-caused errors
Klaimee fills a real gap for autonomous AI agent liability, but its focus on B2B and non-safety-critical use cases limits its applicability. The structured evaluation and certification add trust for procurement, but the lack of transparent pricing may deter smaller teams. If you're an AI vendor selling to enterprise or an enterprise running internal AI agents, Klaimee is worth serious consideration — but if you need coverage for physical-world safety systems or consumer-only products, look elsewhere.
Skip Klaimee if Skip Klaimee if you're insuring physical-world safety systems (autonomous vehicles, robotics) or consumer-only AI products with no enterprise liability exposure.
Last verified: July 2026
What's new in Klaimee
Checked 4 days agoAcross the latest 5 updates: 5 launches.
LaunchBlog·May 24Newest
Your customer just asked for AI liability coverage. Here's what to send.
Guide for vendors responding to enterprise requests for AI liability coverage, with or without existing policy.
LaunchBlog·May 10
AI liability insurance: coverage, gaps, and what's next
Explains AI liability insurance coverage, why standard policies fall short, and enterprise buyer requirements.
LaunchBlog·May 1
Does your E&O or Cyber policy actually cover your AI agent?
Audit guide: most E&O/cyber policies exclude AI agent failures; how to read policy gaps.
LaunchBlog·Apr 21
What is AI agent risk?
Defines AI agent risk as financial/operational/legal exposure from autonomous actions; assessment and management.
LaunchBlog·Apr 18
What is AI Agent Insurance?
Explains AI agent insurance coverage for autonomous systems, why cyber/E&O don't apply, and procurement demands.
What independent users actually report about Klaimee
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
Recurring strengths
- +Fills a real gap left by standard cyber and E&O policies.
- +Coverage for hallucinations, data exposure, and prompt injection.
- +Backed by Y Combinator and integrated with Lloyd's of London.
- +Structured evaluation playground provides a clear risk score.
- +Certification pack helps AI vendors close enterprise deals.
Recurring frustrations
- −No public pricing, making budgeting difficult.
- −Playground public window expires June 18, 2026.
- −Excludes physical robotics and safety-critical systems.
- −New company with no claims history yet.
- −Coverage definitions like 'wrongful commitments' feel abstract.
Patterns worth knowing
Klaimee addresses an unserved insurance need for AI agents, which is widely appreciated.
Seen on Reddit, Hacker News, Product Hunt
Lack of pricing transparency is a major barrier to adoption.
Seen on Reddit, Hacker News
The limited scope to non-safety-critical B2B is both a strength and a limitation.
Seen on Bluesky, Reddit
Learning curve
beginnerProductive in ~A few hours
Hidden costs people mention
- • No disclosed pricing; likely requires a minimum premium and risk assessment fee
Viability Score
75/100
Safe BetHow likely is Klaimee to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
70
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Third-party liability for AI agent harm to customers/partners
- First-party own damage for agent-caused loss to own systems
- Coverage for hallucinated or wrong output a customer relied on
- Coverage for unauthorized actions taken autonomously by the agent
- Coverage for confidential or personal data exposed by the agent
- Coverage for prompt injection and manipulation attacks
- Coverage for wrongful commitments or communications by agent
- Coverage for investigating and cleaning up an AI incident
- Structured evaluation via adversarial testing playground (public until June 18, 2026)
- Certification and guarantee pack with risk score, report, and certificate
- Risk assessment across 8 dimensions (scope, data exfiltration, etc.)
- Backed by Y Combinator
- Integrated with Lloyd's of London capacity
- Free adversarial testing playground with unlimited runs during public window
About Klaimee
Contact SalesIntermediateNo APIWeb
Klaimee is a purpose-built liability insurance provider for autonomous AI agents, covering two types of harm: third-party damage (when an agent harms a customer or partner) and first-party own damage (when the agent harms the company's own systems or data). It fills the gap left by standard cyber and tech E&O policies that exclude autonomous AI actions, making it essential for B2B AI vendors and enterprises deploying AI agents internally. The coverage includes hallucinated or wrong outputs, unauthorized autonomous actions, exposed confidential data, prompt injection attacks, and wrongful commitments. Klaimee also offers a structured evaluation via an adversarial testing playground (public window until June 18, 2026), providing a risk score, detailed evaluation report, remediation recommendations, a Klaimee Certified badge, and proof of certification for enterprise procurement. Klaimee is backed by Y Combinator and integrated with Lloyd's of London capacity, ensuring financial credibility. Its team combines insurance expertise and software engineering, offering a certification and guarantee pack that procurement teams accept. Unlike general cyber or E&O policies, Klaimee specifically addresses the unique risks of autonomous AI agents in non-safety-critical B2B contexts.
Behind the Verdict
Klaimee addresses a genuine blind spot in commercial insurance. As more companies deploy autonomous AI agents, the gap between what cyber and E&O policies cover and what agentic AI can do grows wider. Klaimee's approach of covering both third-party and first-party harm is sensible and well-defined. The team's dual background in insurance and software engineering lends credibility to their certification process, which includes an adversarial testing playground that allows you to stress-test your agent before applying for coverage. The public window until June 18, 2026, offers a risk-free way to evaluate your agent's vulnerabilities. However, the lack of transparent pricing (contact sales only) and the explicit exclusion of safety-critical and physical-world applications limit its utility. If you're an AI vendor stuck in procurement because your customer's legal team demands proof of coverage, Klaimee's certification and guarantee pack can unblock the deal. For enterprises running internal AI agents, the first-party coverage is a safety net that most current policies don't provide. But if you're a small startup with a simple chatbot, the contact-sales model may feel heavy. Overall, Klaimee is a specialized tool for a specific stage of AI maturity, not a general-purpose insurance solution.
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Real-world workflow fit
Concrete scenarios for the personas Klaimee actually fits — and what changes day-one when you adopt it.
AI vendor selling to enterprise
Your enterprise client's legal team demands proof of AI liability coverage before signing. You visit Klaimee, register for the free playground, run your agent through adversarial tests, receive a risk score and certification badge, and present the certificate to the client to unblock the deal.
Outcome: Enterprise procurement approves the contract; you secure the deal with a valid certificate of insurance.
Enterprise deploying internal AI agent
Your internal AI operations agent accidentally corrupts production data. You file a first-party claim with Klaimee, providing the evaluation report and incident details. Klaimee covers the cost of recovery, rebuild, and business interruption.
Outcome: Your enterprise recovers financial loss from the incident without absorbing the full cost.
Startup developing AI voice agent
Your AI voice agent misstates a balance during a debt collection call, leading to a consumer complaint. You report the third-party claim to Klaimee, which handles the liability and defense costs.
Outcome: The claim is covered under your policy, and your startup avoids a potentially bankrupting lawsuit.
Use Cases
- Insure your AI voice agent against misstating a balance or breaking collection rules during debt recovery calls.
- Cover an AI customer-support agent that promises a non-existent refund or policy.
- Protect your enterprise against an internal AI operations agent deleting production data or corrupting records.
- Get the certificate and guarantee your enterprise customer's legal team requires before deploying your agent.
- Use the free playground to probe your AI agent for vulnerabilities before applying for coverage.
Limitations
- Currently focused on B2B companies with bounded, non-safety-critical use cases.
- Autonomous vehicles, robotics, and physical-world safety systems are not covered.
- Pricing is only available via contacting sales, and there is no self-service signup for insurance beyond the evaluation playground.
as of 2026-07-05
Where the pricing makes sense
The company stage and team size where Klaimee's pricing actually pencils out — and where peers do it cheaper.
Klaimee's contact-sales pricing fits enterprises and well-funded AI vendors who need tailored coverage. For smaller startups, the lack of transparent pricing may be a hurdle compared to simpler cyber policies. However, for deals stuck on procurement requirements, the certification pack can justify the cost.
Setup time & first value
How long it actually takes to get something useful out of Klaimee — broken out by persona, not the marketing-page minute.
For AI vendors: register on Klaimee, access the free playground (until June 18, 2026), and run adversarial tests – expect a few hours to integrate and run tests. For enterprises: initiate contact with sales, review your agent's risk profile, and receive a quote within days to weeks depending on complexity.
Switching to or from Klaimee
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
- →From standard cyber/E&O policies: Klaimee fills the gap for autonomous AI actions that those policies exclude. Purchase a standalone Klaimee policy alongside your existing coverage.
Migrating out
- ↗To a general cyber policy: only if your use case no longer involves autonomous AI agents, as cyber policies typically exclude autonomous actions.
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