Antino. We've been building company brains for eight years
Company
(est. 2016)
Antino.
An AI-native operations company. We do not sell engineering capacity. We run business functions on AI and commit to the outcome in writing.
We've been building company brains for eight years. We just called it delivery.
By the numbers
(and counting)
The operating story
Eight years of doing the work. Then a different question.
Most AI companies started with a model. We started with live functions: the hard, regulated, never-stop kind. That's not a footnote. It's the product.
(001)
2016 – 2022
The operating years
We started as a product engineering firm and spent six years running live functions. Not prototypes, not pilots. Insurance claims, healthcare benefits, fintech onboarding: work that had to be right, every time, in regulated environments where errors have consequences.
(002)
2022 – 2023
Pattern recognition
After 200 delivered functions, the pattern became impossible to ignore. The code was always different. The edge cases were always the same. The real IP was never the software. It was the institutional knowledge of how the work actually got done, embedded in tickets, call logs and decisions nobody had written down.
(003)
2024
We built the operating layer
We turned that insight into infrastructure: an agentic Product OS that maps code, tickets, errors and analytics into one living graph. Onboarding dropped from weeks to days. For the first time, everything a new engineer or an AI agent needed to hit the ground running was machine-readable.
(004)
Now
The brain becomes the product
The portfolio brain connects to the operating layer, and the outcome becomes the offering. We don't pitch headcount. We run your function on AI, commit to the outcome in writing, and hand you the brain when it's done.
How we run ourselves
One brain, two engines. We run on it ourselves.
One engine wins and scopes the work. The other runs and ships it. The same encoded knowledge powers both, and each writes its learning back.
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.
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.
AI-Native Service Companies
Gustaf Alströmer
Do not sell software. Sell the service and run it on AI. Insurance, compliance, healthcare administration.
How we map: Our model exactly. We do not sell software. We run the function and commit to a named outcome before we start.
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.
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.
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.
What we stand for
The principles we don't negotiate on
(001)
Outcomes over hours
We don't sell time. We sell a running function, scoped to a named outcome, not the people it took.
(002)
The brain is the moat
Domain knowledge from hundreds of regulated functions, encoded and kept current. That's the advantage competitors can't buy overnight.
(003)
Regulated-grade rigour
Eight years of insurance claims, healthcare benefits, and fintech KYC taught us that edge cases aren't rare. They're the job. We build for them by default.
(004)
People own the calls that matter
Agents do the routine work. Every exception, every judgment call, every moment that carries real consequence routes to a person who owns it. Always.
Leadership
(3)
Vinay Krishna Gupta
Co-founder & CEO
IIT Kharagpur. Grew Antino from two people to 500+ on one belief: operate the work first. At scale, in production. Then teach machines to run it.
Rajesh Kumar
Co-founder & COO
IIT Kharagpur. Heads global delivery across every vertical, geography and competency. The operating discipline behind 240 functions.
Radhakanth Kodukula
CTO
IIT Bhubaneswar; Deakin University. Builds the capability layer: the brain's architecture and the agentic stack that runs on top of it.
Trusted by leaders at
Mahesh Patil
Deputy General Manager · Hitachi India
Prasenjit Sengupta
AVP, Product Management · BLive
Brett Stern
CEO & Founder · Amplifeye
We've worked with 221 companies across fintech, healthtech, logistics, SaaS and regulated industries. Every engagement leaves behind a richer brain.
See every clientRun a function
Stop renting hours. Start running functions.
221 companies came for delivery. The next ones come for outcomes.
See the operated functions