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About

Scientist by training, founder by choice

I'm Dr. Mohit Vaishnav, Co-founder and CEO of Kimova AI in Tallinn, where we build an agentic AI co-auditor for ISO, SOC 2 and privacy audits.

Alongside the company, I'm a postdoctoral researcher in TalTech's Applied Artificial Intelligence Group, asking whether vision-language models really reason or only pattern-match. Recent work appeared in TMLR (J2C at NeurIPS 2026) and at CoNLL 2026, with an oral presentation at ACL 2026.

My PhD at Brown University's Serre Lab and ANITI, awarded by Université Toulouse III, studied how attention and memory drive reasoning in brains and machines, with papers at NeurIPS, ICLR and Neural Computation. Before that came an Erasmus Mundus master's across the UK, France and Spain, and an engineering degree in India, where I published my first papers at the IEEE Data Compression Conference as an undergraduate. I've also held applied AI roles at Sandvik, DFKI and WeDiagnostiX.

Now
Co-founder & CEO, Kimova AI · Postdoc, TalTech
Based in
Tallinn, Estonia
PhD
Brown University / ANITI · Université Toulouse III, 2023
Research
Vision-language models, visual reasoning, attention & memory
Building
Agentic AI co-auditor for ISO, SOC 2 & privacy audits
Worked across
10+ countries in Asia, Europe and the US

Recognition

Awards & honors

2027 · International Selection Selected Participant — Global Young Scientists Summit (GYSS) 2027 National Research Foundation (NRF), Singapore Selected among early-career researchers nominated worldwide to meet in Singapore (4–8 Jan 2027) for a week of talks and dialogue with Nobel, Fields Medal, Turing Award and Millennium Technology Prize laureates. About GYSS
2026

Tehnopol AI Accelerator — Kimova AI selected

Tehnopol Science and Business Park, Tallinn

Kimova AI was selected for the next cohort of Tehnopol’s six-month AI Accelerator, one of eight companies chosen per round, under the AI Development Programme created with Estonia’s Ministry of Economic Affairs and Communications.

2024

Google Cloud Startup Program

Google Cloud

Selected for Kimova AI — enterprise-grade infrastructure, technical support and strategic guidance to scale AI-driven cybersecurity.

2022

Top 5 Global — Kaggle Half-Earth Challenge

Kaggle

Top-5 of 3000+ participants (99.9th percentile) in advanced plant-species identification using state-of-the-art computer vision.

2020

Arctic Code Vault Contributor

GitHub & Long Now Foundation

Open-source contributions preserved in GitHub’s Arctic Code Vault, a 1,000-year archive of public software.

2019–2022

ANR Doctoral Fellowship

ANITI — French National Research Agency

Prestigious doctoral fellowship from one of France’s four flagship AI institutes.

2017

Charpak Excellence Scholarship

Government of France

Scholarship for outstanding international students, named after Nobel laureate Georges Charpak.

2010–2013

KVPY National Fellowship

Dept. of Science & Technology, India

National fellowship recognizing exceptional promise in engineering and scientific research.

How I work

What carries over from lab to company

Evidence before claims

My research asks whether a model really reasoned or only matched a pattern. The same standard applies to an AI audit: every finding should trace back to evidence.

From paper to product

Ideas earn their place by working in the real world — benchmarks and diagnostics in the lab, then systems customers rely on at Kimova.

Built across borders

Studying and working across India, Europe and the US taught me to build with diverse teams, for customers in any market.

Short bio · free to reuse

Dr. Mohit Vaishnav is the Co-founder & CEO of Kimova AI, a Tallinn-based company building an agentic AI co-auditor for ISO, SOC 2 and privacy audits, and a postdoctoral researcher in the Applied Artificial Intelligence Group at Tallinn University of Technology (TalTech). He earned his PhD in computer science (cognitive AI and visual reasoning) from Université Toulouse III, with research conducted at Brown University's Serre Lab and ANITI under Thomas Serre and Nicholas Asher. His work on visual reasoning, attention and vision-language models has been published at NeurIPS, ICLR, TMLR and CoNLL and in Neural Computation.

Elsewhere