About Kaia AI

Built for industries where AI mistakes have consequences.

The transparent, self-improving AI platform for regulated industries — every improvement measured on frozen evals, with the evidence to prove it.

Most AI companies sell black boxes. They can't tell you why their model made a decision, how it's improving, or whether it's getting worse. In regulated industries — legal, healthcare, finance — that's not just inconvenient. It's a liability.

Kaia AI is different. Every human correction feeds a 5-layer learning engine that gets measurably better release over release — and every output carries its confidence score and reasoning with it. We publish what we measure — starting with privilege detection on a frozen evaluation set — and label every target as a target until the eval gate clears it.

We call it the Intelligence Engine — and it's not a feature. It's the entire product.

It's also why new regulated workflows arrive as products, not projects: the platform beneath every Kaia vertical stood up a complete SEC reserves-disclosure workflow from spec to live in production in under two weeks. We productize your workflow. You don't build it.

Three Layers, One Intelligence

Products lead. The engine powers them. The ecosystem compounds both.

Layer 2 — Self-Learning Industry Agents

The Products

Ten vertical products for regulated industries — Legal, Accounts Payable, Claims, and Oil & Gas lead — each covering the entire value chain on the same governed engine, not just classification.

Explore the products

Layer 1 — Kaia Intelligence Engine

The Operating System

The 5-layer continuous learning system beneath every product. Not a feature — it IS the product: every authorized correction becomes intelligence and pushes improvement back to every participant.

See the Intelligence Engine

Layer 3 — Kaia Ecosystem

The Ecosystem

Vetted practitioners, delivery partners, and builders participate in — and benefit from — the same engine: vetting tiers, partner-delivered implementation, and builder programs that compound the product.

Join the ecosystem

Principles

Transparent by Default

Benchmark posture published per vertical — targets labeled until baselined. Auditable accuracy methodology. Every client sees how the system performs — no black boxes.

Regulated-First

Built for industries where AI mistakes have consequences. Legal, healthcare, finance — compliance isn't an afterthought, it's the architecture.

Human-in-the-Loop

Every correction makes the model smarter for that client — and, with explicit consent and anonymization, structural patterns compound across the vertical.

RG

Rahul Gupta

Founder & CEO

“I named the company after my daughter Kaia. When you put your child's name on something, you don't cut corners.”

26 years building enterprise technology organizations at scale — 17 years in consulting and global delivery (HCL, Conduent), CTO at Conduent running an 8,000-person technology organization and a $1.45B technology budget serving healthcare, government, and transportation clients, then CEO of Technology Services at Toptal, the world's largest talent network.

Rahul saw the same pattern across every regulated industry: AI tools that couldn't explain their decisions, couldn't learn from corrections, and couldn't prove they were improving. Kaia AI exists to fix that — four vertical products live, every one built on the same Intelligence Engine that compounds with every correction.

Journey

2008Enterprise consulting career begins — HCL, Conduent, global delivery
2017CTO at Conduent — 8,000-person technology organization
2025CEO Technology Services at Toptal — world's largest freelance network
2025Kaia AI founded — named after his daughter Kaia
2026First working Intelligence Engine — classify, correct, learn

See the Intelligence Engine in action.

Correct one decision. Watch accuracy move on a frozen eval set.