About · Founder · Firm

Built by people who have shipped real systems in regulated, high-stakes verticals.

Kalman AI is small by design. The work is done by people who have built and operated AI systems in real environments — not just prototyped them.

§ 01 · Founder

Dr Jehill Parikh

Physicist · Applied neuroscience · World models since 2015

Trained as a physicist, with PhD-level NeuroImaging research and a long collaboration with neuroscientists translating brain research into tools clinicians and industries actually use.

Built and shipped generative and decision-under-uncertainty systems for clinical and industrial problems years before transformers and modern LLMs existed. The conviction behind our engineering bets is not opportunistic.

Now turning that decade of applied work into Kalman AI: a consulting practice that takes AI from pilot to production for industries that can’t afford to get it wrong.

Trained as
Physicist · Theoretical and applied
Research
PhD-level NeuroImaging · Translational research with neuroscientists
Pre-LLM era
Generative models · Decision-under-uncertainty systems · Applied contexts
Recent
Domain agents in healthcare and financial services
§ 02 · The firm

Three things make Kalman AI different from a typical AI consultancy.

  1. A founder who has shipped, not just spoken

    Production AI agents in regulated verticals built from zero, by the same hands that will design your engagement. A decade of work on world models and decision-under-uncertainty systems before modern LLMs existed.

  2. An engineering-first practice

    We don’t sell platforms or wrappers. We design, build, deploy, and maintain agents — and stay accountable for outcomes after launch. Operations is part of the engagement, not a hand-off.

  3. A senior team — small by design

    Every engagement is led by people with production experience in the relevant vertical. The first conversation you have is with the founder, not a sales team. We say no quickly when the fit isn’t right.

§ 03 · Where we work from

Based in India — with mandates across the country and partnerships further afield.

India is conspicuously underbuilt in autonomous-decision AI for regulated verticals — independent CTO data suggests only around 6% of Indian CTOs are actively working in this space, even as global demand for exactly that capability is rising fast. We are deliberately positioned in the gap between that scarcity and that demand.

We’re small, and we work directly with the people we partner with. That’s the point.

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