Intelligent AI World builds AI workforces for regulated industries.
We start with implementation. We end with vertical AI products.
Healthcare · Legal · Education
11 products shipped · 4+ live deployments · 2,000+ operator conversations
Frontier AI changes the economics.
The world’s largest industries spend trillions on human knowledge work that software has never been able to automate. We’re building the layer that turns that capability into production.
From one workflow to a workforce.
One product per vertical.
Real customers. Real numbers.
The method is not theoretical. It is running right now across healthcare, legal, education and public office.
Rockets AI — University of Toledo
A campus assistant that answers with citations. Live — open it and try it yourself.
See it liveMedix AI — London
Clinical and back-office workflows for a clinic and hospital group.
Dona Legal — New York
AI drafting and first-pass review for a New York law firm.
Management system — India
A complete operations platform for political leadership.
Lamborghini — education programme
Delivered work for Lamborghini’s educational programme.
Want the ROI in your numbers? Run the calculator with your own volumes →
Five things compound.
Every regulated business will eventually have an AI workforce.
IAW will build it.
Thirty months of listening.
San Francisco · 2026
For the past thirty months we have been building AI applications and, more importantly, talking to the people meant to use them. More than two thousand conversations across healthcare, legal and education.
The same thing came up every time. Everyone is fascinated by what AI can do. Almost no one is getting real value out of it. The demo is dazzling. The Monday morning after is unchanged.
We came to believe the problem is not the model. Frontier models are extraordinary. The problem is that a general model meets a specific business and neither one bends.
Harish Krishnan — Founder & CEO. LinkedIn
We build the layer on top.
A model is general by design. Your work is not. So we build a personalization layer between the two — your rules, your documents, your edge cases, your definition of correct.
Made for one client.
Not configured. Built. Against your workflow, your systems, and the exceptions your team already knows by heart.
Correct is defined first.
We write the evaluation set before the agent. If we can’t say what right looks like on your real cases, there is nothing to build yet.
Sharper every day.
A custom agent keeps learning your work. Corrections become part of it. The gap between what it does and what you would have done narrows over time.
The advantage goes to whoever uses it well.
AI is not a tie-breaker any more. The people who learn to apply it precisely, to the work that actually costs them money, will pull away from the people who bought a licence and hoped. We intend for IAW to be the studio those first companies call — for businesses and for individuals.
Tell us the workflow that hurts.
One workflow, described in a sentence, is enough to start. You get a real number back within one business day.