Go digit
AI-assisted pre-inspection, Camunda/DMN underwriting decisions, endorsement lifecycle and KYC — live insurance operations, in production.
- claims processed
- 9.76L+
- claims processed
- Weeks live
- 77
- weeks live
- Hours encoded
- 5,110
- hours encoded
AI-native operations
We don't staff your project. We run your function. Antino maps how your work actually gets done into a Company Brain, then our AI agents run the function on top of it — claims, onboarding, admin, delivery — with humans owning the calls that matter. You buy the outcome, not the headcount.
01 · Where it breaks
Follow one claim. It arrives at 6:02 pm. The rule that decides it lives in one senior's memory — and she's on leave. Tonight, that happens a thousand times across your function.
And the usual fixes don't fix it
Copilots help your people work — they don't do the work.
Staff augmentation rents you hours, and rebuilds context every time.
Search & chatbots answer questions — they can't run a process.
02 · The reframe
The models are ready. The agents are ready. What they're missing is the refund rule locked in one senior's head — written down nowhere, runnable by nothing. Make the knowledge executable, and the work can finally run.
Claim #4517 again — still stuck. This time, watch the rule that decides it become something a machine can run.
03 · How it works
Now watch the same claim enter the brain: the rule is mapped, the decision is executable, the exception has an owner. Four moves take scattered know-how to an operated outcome that gets sharper with every event — Map, Structure, Operate, Improve.
Watch a function become a brain.
Map · Structure · Operate · Improve
The rule that lived in one head is now an executable path in the brain — mapped, versioned, runnable. Next: the receipts behind it.
04 · The receipts
48 of 221 clients worldwide
434,435 hours
of real domain work, encoded across 240 operated functions for 221 clients. That library is what your brain gets built from.
AI-assisted pre-inspection, Camunda/DMN underwriting decisions, endorsement lifecycle and KYC — live insurance operations, in production.
A multi-tenant employee health benefits / TPA platform serving 9 enterprise clients — member and benefits admin, run for 2+ years.
An EV-lending NBFC's loan origination function — eKYC, face liveness, co-lending — live on both borrower and agent apps.
That claim is now decided in minutes — and tomorrow it could be your claim, your member, your onboarding.
05 · Project yourself
Each runs end-to-end with live, multi-year, regulated proof behind it. Pick yours and walk the same path the claim just walked.
06 · Why now
In its Summer 2026 Requests for Startups, Y Combinator named the shifts the next category leaders will be built on. Five of them describe what Antino already does.
Tom Blomfield
A living, executable map of how a company actually works — the missing layer between scattered company data and reliable AI automation.
How we map: It's our name and our product. We build the brain for a function, keep it current, and run the work on top of it.
Gustaf Alströmer
Don't sell software — sell the service and run it on AI. Insurance, compliance, healthcare administration.
How we map: Our model exactly: we don't sell software — we run the function and commit to a named outcome before we start.
Diana Hu
Make a company queryable — a closed, self-improving loop that turns its own artifacts into specs agents can execute.
How we map: Our two engines — Revenue OS wins and scopes the work, Delivery OS runs and ships it. Both write back to the brain.
Aaron Epstein
Rebuild software for agents as first-class users — machine-readable interfaces, not buttons and dashboards built for humans.
How we map: The brain is an executable skills layer agents act on directly — not a chatbot bolted onto a dashboard.
Ankit Gupta
Software shaped to each user and use-case, instead of one one-size-fits-all interface for everyone.
How we map: Every function we run is shaped to one client's real rules — the brain encodes how their work is actually done.
Five requests. One company already running them.
Most teams are starting from a pitch deck. Antino starts from 240 operated functions and a working brain.
YC's Requests for Startups describe where the market is heading — not an endorsement of Antino.
07 · Why you can commit
The metric we're moving is agreed up front, in writing. Agents do the routine work; a named human owns every exception — and every engagement is scoped to the outcome it exists to move.
And the claim you've been following? Decided in minutes, exception owned, resolution written back. That's the outcome we scoped — delivered, with the metric to show for it.
Domain knowledge from hundreds of regulated functions, encoded, kept current, and executable — something competitors can't buy.
Agents do the work on the brain; humans own the calls that matter. You get a result and an owner, not a tool.
Eight years operating live functions in insurance, healthcare and fintech — not a demo, not a pilot deck.
Every engagement starts with a named, measurable outcome — the metric we agree to move. We commit to it before we start, and we own it end to end.
08 · One claim, closed
Arrives at 6:02 pm. The rule that decides it is in one head.
The rule becomes an executable path in the Company Brain.
Decided in minutes. The one exception routes to a named owner.
Decided in minutes. The metric we signed up for — moved.
That's the whole pitch — one claim, followed all the way through. Your function works the same way.
09 · From the people we run with
“Working with the Antino team has been genuinely smooth and easy. They've played a big part in helping us scale faster at PhysicsWallah, and we hope to continue this journey together.”
10 · Make the call
No discovery maze. Choose the queue you want off your plate — we'll map the brain and name the outcome we'd commit to: the metric, the owner, the path to moving it.
Not ready to talk? Model your function first in the open outcome modeler