Why AIUC is one of the most AGI-proof startups we’ve seen
The company that pays when your AI messes up
Disclosure: Weekend Fund, where I invest, is not an investor in AIUC.
Most AI startups today are feature requests to OpenAI. When OpenAI ships the same thing, or a free open-source model does, their edge disappears. Unless you own the workflow, the data, and the customer’s trust, things can get real existential, real fast.
AIUC went the other way. They asked the hard question (almost) no one else would:
If an autonomous agent makes a expensive mistake, who pays?
What AIUC does
AIUC certifies and insures autonomous agents. Not tools that use AI—truly autonomous software that makes their own decisions, spends money, and can cause real-world trouble.
The AIUC platform gives teams four things:
Real insurance → AIUC prices the risk and pays the bill when your agent blows up.
Safety badge (AIUC Certificate)→ Pass AIUC’s pre‑launch review and get a certificate buyers look for. Helps close deals - “Yes, it’s insured.”
Policies in code (Crosswalks) → machine‑readable policies that agents can parse, obey, and even shop. Turns insurance from PDF fine‑print into an API primitive agents can reason about.
A growing standard → Every agent feeds claim data back into AIUC‑1, the risk engine, and strengthens the standard. More data → better pricing → cheaper cover → more customers.
Here are examples of real-world failures that AIUC covers (backed by the balance sheets of some of the world’s most trusted insurers):
A routing bot sends trucks the wrong way → late‑delivery fees covered.
A trading bot tanks your treasury → losses insured.
A support bot gives bad legal advice → liability shifts to AIUC.
A recruiter bot discriminates candidates → lawsuit bill insured.
A coding agent outputs copyrighted code → lawsuit bill insured.
A support bot outputs nazi propaganda → reputational harm covered
Insurance has always smoothed the rollout of new technology—from ships to railroads to early aviation. Now it does the same for software agents. Enterprise buyers move faster when they hear: “Yes, we use agents. Yes, we’re insured.” The teams behind advanced agentic products, like Cognition and Ada, include AIUC in private sales materials.
“It might sound obvious in hindsight that enterprises urgently need a SOC 2 for AI, and insurance against agent failures.” - Vishal Maini (Investor in AIUC)
AIUC-1, the risk engine powering it all, is built by alumni from Anthropic (AI safety), McKinsey’s insurance practice, and METR (evals), and in partnership with auditors & reinsurers that already underwrite global catastrophe risk (think natural disasters).
How AIUC Scores
I ran AIUC through the “AGI proof stress test” and it scored 25/30, placing it squarely in the “highly AGI‑resilient” tier.
Why it matters
Today, when an agent buys the wrong stock or leaks health data, everyone shrugs and files a bug. With AIUC, that risk is priced and covered. Enterprises don’t just get protection; they finally get permission to roll out agents at scale.
If agents run the future of work, the company that pays for their mistakes becomes an infrastructure linchpin. That’s AIUC.
Sources
Thanks to Rune Kvist for reading drafts of this.