Klaimee
Insurance and certification covering the financial loss when your autonomous AI agent makes a costly mistake.
Klaimee is attacking a genuine deal-blocker: enterprise legal and procurement teams currently have nothing to accept when they review an agent deployment. YC backing plus Lloyd's capacity on a policy that names nine specific agent failure modes is far more credible than most AI-adjacent insurance pitches. Published illustrative pricing ($1,850/mo equivalent for early AI products, $7,275/mo equivalent at enterprise, both against a $1M annual aggregate) is unusually concrete for this category. What's still unproven is the operational side: whether the certification actually clears reviews at a named enterprise, and how long an underwriting review takes in practice. If your buyer's legal team
Verified 8d ago · liveness 68/100 · cite: rightaichoice.com/tools/klaimee
- AI vendors selling autonomous agents to enterprise clients whose legal and procurement teams demand proof of coverage
- Enterprises running AI agents with write access to payments, customer records, supplier data, or finances
- Startups with customer-facing voice or support agents where a wrong commitment can trigger a customer claim
- Finance and operations teams deploying agents that can move money or change supplier details without human approval
- Autonomous vehicles, robotics, or physical-world safety systems — Klaimee says it doesn't cover them
- Consumer-only AI products with no enterprise or procurement context
- Teams whose only exposure is a bug in human-written software — standard tech E&O is the cheaper fit
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Klaimee if your only AI exposure is a bug in human-written software, if you build consumer-only products with no procurement review, or if your agents operate in safety-critical physical environments Klaimee doesn't underwrite.
The prices on the site are illustrative averages against a $1,000,000 annual aggregate — your actual quote depends on workflow, controls, evidence, and the limit you request, so the number you sign can differ from the
Illustrative pricing runs from $1,850/mo equivalent ($22,200/yr) for under $1M annual AI revenue up to $7,275/mo equivalent ($87,300/yr) at $20M+, all against a $1M annual aggregate. That puts Klaimee above a standard cyber or tech E&O binder a small startup already carries, and materially below what an enterprise would pay for bespoke liability cover. It best fits funded AI vendors with live agent workflows and enterprise buyers already asking for proof of coverage.
In short
Klaimee — Insurance and certification covering the financial loss when your autonomous AI agent makes a costly mistake. Best for AI vendors selling autonomous agents to enterprise clients whose legal and procurement teams demand proof of coverage, Enterprises running AI agents with write access to payments, customer records, supplier data, or finances, Startups with customer-facing voice or support agents where a wrong commitment can trigger a customer claim. Plans from $1,850/mo.
What's new in Klaimee
Checked 8 days agoAcross the latest 5 updates: 5 news mentions.
The sandbox failed. The AI agent kept attacking. Who carries the loss?
Klaimee breaks down an incident where three cyber evaluations reached real systems, framing agent liability around scope, containment, vendor controls, and policy wording.
Your customer just asked for AI liability coverage. Here's what to send.
Procurement teams now ask AI vendors for proof of AI liability coverage. Klaimee outlines what that request means and what to send if you lack a policy.
AI liability insurance: coverage, gaps, and what's next
Klaimee explains what AI liability insurance covers, why standard cyber and E&O policies don't, and what enterprise buyers require.
Does your E&O or Cyber policy actually cover your AI agent?
Klaimee argues most E&O and cyber policies won't respond to AI agent failures in 2026, with guidance on reading policies and auditing gaps.
What is AI Agent Insurance?
Klaimee covers what AI agent insurance covers, why cyber and tech E&O don't, and what enterprise procurement requires.
What people actually say about Klaimee — is it worth it?
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.
18 mentions across 2 sources (YouTube, Bluesky) · researched Jul 24, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Fills a genuine insurance gap for autonomous AI agent risks.
- +Covers both third-party harm and first-party own damage.
- +Backed by Y Combinator and Lloyd's of London for credibility.
- +Free adversarial testing playground allows risk assessment before purchase.
- +Certification and guarantee pack streamlines enterprise procurement.
- −Virtually no user reviews or community feedback to validate claims.
- −Pricing is not transparent; requires contacting sales.
- −Coverage limited to non-safety-critical B2B contexts.
- −Free evaluation window expires June 2026, pressuring decisions.
- −No integrations with popular platforms like Slack or AWS Cloud.
- • No pricing transparency; costs not disclosed without sales conversation.
Viability Score
How well maintained and how widely used is Klaimee? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Financial protection for AI agent mistakes, covering the loss when a covered failure happens
- Third-party liability when an agent harms a customer, partner, or the public
- First-party own-damage cover when an agent harms your own data, systems, or finances
- Coverage for hallucinated or wrong output a customer relied on
- Coverage for unauthorized actions the agent took on its own
- Coverage for confidential or personal data the agent exposed
- Coverage for prompt injection and manipulation attacks
- Coverage for wrongful commitments or communications the agent made
- Coverage for the cost of investigating and cleaning up an AI incident
- Risk scoring across nine named agent failure modes
- Detailed evaluation report with findings and remediation recommendations
- Klaimee Certified badge and proof of certification for enterprise procurement
- Illustrative annual coverage limits published at $1M and $2M
- Get-covered flow that answers a few questions and routes to an underwriting agent
- Backed by Y Combinator with Lloyd's of London capacity
About Klaimee
Klaimee sells financial protection for AI agent mistakes — a policy plus a certification that enterprise procurement teams will accept. Two buyer types show up here. AI vendors building and selling agents need a certificate and a real counterparty for the risk, because legal and procurement won't sign off on an autonomous agent without proof of coverage. Enterprises running agents inside their own operations need cover when the agent damages their data, systems, or finances, with no third party involved. Klaimee says its focus today is B2B, bounded, non-safety-critical use cases. The policy is written around nine named failure modes rather than a vague "AI error" clause: scope violation (an agent promising free replacements it had no authority to offer), output integrity (telling a customer a treatment is covered when it isn't), prompt injection via a poisoned supplier invoice, data exfiltration, unauthorized payments that skip human approval, behavioral instability, operational control failure where stop doesn't stop, model drift after a model update, and resource consumption from a runaway loop running up paid API calls. Klaimee's framing is that cyber covers the hacker and tech E&O covers the bug a human wrote — neither responds to harm an agent causes acting on its own. Beyond the policy you get a comprehensive risk score, a detailed evaluation report with findings, remediation recommendations, and a Klaimee Certified badge to hand to a client's legal team. Klaimee publishes illustrative pricing on its homepage: early AI product under $1M annual AI revenue at $1,850/mo equivalent ($22,200/yr), growing agent company at $2,425/mo equivalent ($29,100/yr), scaled AI workflow at $2,882/mo equivalent ($34,584/yr), and enterprise at $7,275/mo equivalent ($87,300/yr), each shown against a $1,000,000 annual aggregate limit. Final quotes depend on the workflow, controls, evidence, and the limit you request. The company is backed by Y Combinator with Lloyd's of London capacity behind the policy.
Behind the Verdict
Klaimee is not a tool you use — it's a contract and a certificate you carry. That changes how you should evaluate it. The product's real engineering is in the risk assessment: nine named failure modes, a comprehensive risk score, a findings report, and remediation recommendations. Those artifacts are what make the certification legible to a procurement reviewer who has never seen an AI agent coverage instrument before. Compare that with a generic cyber or tech E&O binder, which will not respond to an agent taking an unauthorized payment on its own — that's the gap Klaimee is built for, and it's a real one.Strengths: named failure modes instead of a catch-all exclusion; two buyer shapes (vendors who need painkiller-level proof, enterprises who need first-party cover); published illustrative pricing bands; and Lloyd's capacity behind the paper. The Klaimee Certified badge is the piece that turns an abstract policy into something a client's legal team can file.Weaknesses and open questions: the homepage itself labels the coverage check "a quick first look, not a policy review or confirmation of cover," so the free path is a triage tool, not underwriting. Coverage is explicitly bounded to non-safety-critical B2B use cases, so robotics, autonomous vehicles, and physical-world safety are out of scope by design.Where it fits: AI vendors selling into enterprise procurement where legal is the deal-blocker, and enterprises running agents with write access to payments, customer records, supplier data, or finances. Where it doesn't: consumer-only AI products with no procurement context, teams whose only exposure is a bug in human-written software (standard tech E&O is cheaper), and any deployment Klaimee classifies as safety-critical. Treat this as a risk-transfer and procurement-clearing decision, not a software purchase — the value shows up the day your agent does something it wasn't supposed to.
Researching Klaimee? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Klaimee actually fits — and what changes day-one when you adopt it.
A prospective customer's legal team stalls the contract because they have nothing to file for the autonomous agent's risk exposure. You start the Klaimee get-covered flow, answer the questions about your agent workflows and controls, and the underwriting agent produces a risk score, an evaluation report with findings, and a Klaimee Certified badge.
Outcome: You send the certificate and proof of guarantee to the client's legal team, and the review clears instead of stalling on an unquantified risk.
An internal finance agent sends a payment without the human approval it was supposed to get, and the money can't be recovered. You file against the unauthorized-action failure mode, and Klaimee also covers the cost of investigating and cleaning up the incident.
Outcome: The first-party loss is covered with no third party involved, and the incident-response spend doesn't come out of your own budget.
During onboarding you answer questions about how your agent is scoped and controlled, then examine where a wrong commitment — a refund promise or a misstated policy term — could trigger a customer claim.
Outcome: You get a risk score and remediation recommendations that close the obvious gaps before a customer ever relies on a wrong agent output.
Use Cases
- Insure your AI voice agent against misstating a balance during debt recovery calls
- Cover an AI customer-support agent that promises a non-existent refund
- Protect your enterprise against an internal AI agent deleting production data
- Get certification and proof of coverage your enterprise customer's legal team requires
- Cover a finance agent that sends a payment without the required human approval
- Respond to a procurement request for AI liability proof before contract signature
Limitations
- Klaimee is an insurance and certification product for AI agent failures, not software that runs on a specific AI model, so no underlying model is named.
- Coverage is framed as helping cover financial loss for nine named failure modes (scope violation, output integrity, prompt injection, data exfiltration, unauthorized action, behavioral instability, operational control failure, model drift, and resource consumption).
- The homepage states its coverage check is "a quick first look, not a policy review or confirmation of cover," and that the failure examples are illustrations rather than a promise that every loss is covered — your agreement sets the failures, required evidence, limits, and exclusions.
- Klaimee does not underwrite safety-critical or physical-world systems.
- Pricing shown on the site is explicitly illustrative: final quotes depend on the agent workflow, controls, evidence, and requested limit.
as of 2026-10-02
Verification history
We have re-verified Klaimee 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Klaimee tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Early AI product (under $1M annual AI revenue)
$1,850/mo equivalent ($22,200/yr)
Ideal for
Pre-seed to seed AI vendors with pilots and first customers running a small number of live agent workflows
What this tier adds
Starting tier — illustrative $1,850/mo equivalent ($22,200/yr) against a $1,000,000 annual aggregate limit
Growing agent company ($1M-$5M annual AI revenue)
$2,425/mo equivalent ($29,100/yr)
Ideal for
Funded AI vendors whose agents are used by customers or teams and carry real workflow responsibility
What this tier adds
Steps up from pilot scale to agents in live customer use; illustrative $2,425/mo equivalent ($29,100/yr), same $1,000,000 annual aggregate
Scaled AI workflow ($5M-$20M annual AI revenue)
$2,882/mo equivalent ($34,584/yr)
Ideal for
Companies with more deployments, more users, and agents touching more systems across the business
What this tier adds
Priced for volume — more deployments and more systems touched; illustrative $2,882/mo equivalent ($34,584/yr), same $1,000,000 annual aggregate
Enterprise ($20M+ annual AI revenue)
$7,275/mo equivalent ($87,300/yr)
Ideal for
Large organizations with higher exposure, sensitive workflows, or regulated customer environments
What this tier adds
Top band for regulated and high-sensitivity deployments; illustrative $7,275/mo equivalent ($87,300/yr), same $1,000,000 annual aggregate
Where the pricing makes sense
The company stage and team size where Klaimee's pricing actually pencils out — and where peers do it cheaper.
Illustrative pricing runs from $1,850/mo equivalent ($22,200/yr) for under $1M annual AI revenue up to $7,275/mo equivalent ($87,300/yr) at $20M+, all against a $1M annual aggregate. That puts Klaimee above a standard cyber or tech E&O binder a small startup already carries, and materially below what an enterprise would pay for bespoke liability cover. It best fits funded AI vendors with live agent workflows and enterprise buyers already asking for proof of coverage.
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 an AI vendor already holding procurement evidence, the get-covered flow is built to take about 5 minutes to start, but the binding quote and certification land only after Klaimee reviews your workflow, controls, and evidence. Expect days rather than minutes from first conversation to certificate. Enterprise buyers running agents internally should budget similar time, since the assessment
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.
- →From a standard Cyber policy alone: keep the cyber cover for hacker intrusions and add Klaimee for the harm your agent causes acting on its own
- →From tech E&O alone: retain the E&O for bugs in human-written software and layer Klaimee over the autonomous-action gap it doesn't respond to
- →From no coverage: start with the free coverage check and get-covered flow to see how your agent's failure modes map to the nine Klaimee covers
- ↗To a bespoke enterprise liability program: if your exposure exceeds the published $1M annual aggregate, a broker-placed program may fit better than a Klaimee band
- ↗To standard tech E&O: only if your real exposure turns out to be a bug in software a human wrote rather than autonomous agent action
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Klaimee”, and we withheld 6: 6 could not be judged, because “Klaimee” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Klaimee.
Official links
Featured Head-to-Head Comparisons
Klaimee vs Cryptohopper
Klaimee and Cryptohopper serve completely different needs: Klaimee protects against AI agent liability (essential for enterprise AI deployments), while Cryptohopper automates crypto trading with AI signals. Choose Klaimee if you're an AI vendor needing insurance to pass procurement; choose Cryptohopper if you're a trader seeking automated strategies on major exchanges. They are not competitors but complementary.
Klaimee vs Transfix
Klaimee and Transfix are unrelated tools for completely different buyers. Choose Klaimee if you build or deploy autonomous AI agents that need liability coverage for hallucinations, data exposure, or unauthorized actions. Choose Transfix if you're a freight broker needing AI pricing and automation to win more bids and protect margins. There's no overlap; your industry decides.
Klaimee vs Bitsgap
Klaimee and Bitsgap serve entirely different needs. If you are building or deploying autonomous AI agents and need to manage liability risk, Klaimee is essential — its adversarial testing and insurance fill gaps standard policies miss. If you trade crypto and want automated bots with multi-exchange access, Bitsgap's freemium model and bot variety make it a solid choice. Choose based on domain: AI risk vs. crypto trading.
Popular in Insurance
Hi Marley
Hi Marley is SMS-first claims communication software for P&C insurers, running two-way texting from first notice of loss through repair and
Cotality
Cotality (formerly CoreLogic) supplies AI-ready property intelligence to lenders, insurers, servicers, MLSs and government agencies — 250+ attributes per
Bestow Funeral
Bestow Funeral — the life insurance platform Bestow sells to carriers; funeral-plan buyers never touch it directly.
Frequently Asked Questions
Categories
Used Klaimee? Help shape our editorial sentiment research.