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
Twelve products for regulated industries — Legal, Accounts Payable, Claims, Oil & Gas, and Engineering Design (MEP) 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 is routed to the right learning path for that client and stays in its tenant. Only if the client opts in can anonymised structural patterns, never content, be shared within the vertical; pattern sharing is not yet active.
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 — five launch products live, every one built on the same Intelligence Engine that compounds with every correction.
Advisory
Kaia Advisory, led by Rahul
Senior, hands-on advisory for leaders in financial services, insurance, healthcare, legal and energy — from an operator who has run technology at public-company scale.
Readiness assessments, AI-governance and operating-model sprints, and fractional CTO / Chief AI Officer engagements — fixed fee, vendor-neutral, board-ready.
Kaia Advisory →Journey
See the Intelligence Engine in action.
Correct one decision. Watch accuracy move on a frozen eval set.