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Antino

AI-native operations

The work is the same.Who does it just changed.

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.

240functions operated
221clients worldwide
434k+hours of domain work
8+years in regulated work

01 · Where it breaks

A refund rule lives in one senior's head.She's on leave.The customer waits.

Claim #4517waiting

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 blocker isn't AI.
It's that your knowledge isn't executable.

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 #4517waiting

Claim #4517 again — still stuck. This time, watch the rule that decides it become something a machine can run.

03 · How it works

Watch a function become a brain.

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

executable rules
0%
Cycle time
0%
Human min / case
0%
Accuracy
Claim #4517mapped

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

We've been building company brains for eight years.
We just called it delivery.

  • Enercent
  • Spyne
  • Speed Box
  • Peakmind
  • Bitla soft
  • Trim Pixel
  • Guarented
  • Karat
  • HCL Healthcare
  • Go digit
  • Spaarkd
  • Eksaq
  • Hoabl
  • Jify
  • Tranzact
  • Virality media
  • Emoneed
  • Kashware
  • Astro Arun Private Limited
  • Officebanao
  • Nordangilia
  • Qurex
  • Lioncharge
  • Habuild
  • Saras AI
  • Voiro
  • Edmyst
  • Ximkart
  • Wishlink
  • Ethara.ai
  • Hostbooks
  • Onmeta
  • Jobizo
  • Revfin
  • Flash
  • Awfis
  • Blive
  • GA
  • Tripare
  • Compport
  • Fanclash
  • Easy Home Finance
  • MobylX
  • Lifesigns
  • Opinito
  • Pidilite
  • Zoca.Ai
  • Symphony

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.

Go digit

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
HCL Healthcare

HCL Healthcare

A multi-tenant employee health benefits / TPA platform serving 9 enterprise clients — member and benefits admin, run for 2+ years.

enterprise clients live
9
enterprise clients live
Weeks live
102
weeks live
Hours encoded
6,014
hours encoded
Revfin

Revfin

An EV-lending NBFC's loan origination function — eKYC, face liveness, co-lending — live on both borrower and agent apps.

Weeks live
115
weeks live
Hours encoded
10,274
hours encoded
Claim #4517operated

That claim is now decided in minutes — and tomorrow it could be your claim, your member, your onboarding.

06 · Why now

We're not chasing the thesis. We're already operating it.

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.

YC Requests for Startups
RFS · Summer 2026Our namesake

Company Brain

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.

RFS · Summer 2026Our model

AI-Native Service Companies

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.

RFS · Summer 2026

The AI Operating System for Companies

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.

RFS · Summer 2026

Software for Agents

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.

RFS · Summer 2026

Dynamic Software Interfaces

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

We commit to the outcome before we start.

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.

claims decided in minutes, leakage downsame-day, right-plan adjudicationcompliant approval in the first sessionshipped and adopted, not billed hours
Claim #4517outcome met

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.

Model your function in the open outcome modeler

The brain is the moat

Domain knowledge from hundreds of regulated functions, encoded, kept current, and executable — something competitors can't buy.

We own the outcome

Agents do the work on the brain; humans own the calls that matter. You get a result and an owner, not a tool.

Built on real operations

Eight years operating live functions in insurance, healthcare and fintech — not a demo, not a pilot deck.

Scoped to an outcome

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

The claim you followed down this page? Here's its whole life now.

Claim #4517waiting

Arrives at 6:02 pm. The rule that decides it is in one head.

Claim #4517mapped

The rule becomes an executable path in the Company Brain.

Claim #4517operated

Decided in minutes. The one exception routes to a named owner.

Claim #4517outcome met

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.
Surya Prakash Mishra
Senior Engineering Manager, PhysicsWallah
3.5M+
Daily active users
1.57M+
Tests conducted
10M+
Android downloads
Also trusted by leaders at
  • Mahesh PatilDeputy General Manager, Hitachi India
  • Prasenjit SenguptaAVP, Product Management, BLive
  • Brett SternCEO & Founder, Amplifeye

10 · Make the call

Pick a function. See the outcome we'd commit to — before you do.

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.