ThinkerWave
Product · flagship
AI for your hardest problems: high-stakes decisions where being wrong is expensive. It works a problem from every angle and argues against its own answer, then shows its work. Runs locally, available by invitation.
Founder, Thinkerwave AITech · Fractional AI CTO · Deterministic AI Agents
$20M+
Annual recurring revenue at blackNgreen
5 → 160+
Enterprise customers grown over 13 years
290M+
End-users reached, across 4 continents
50+
Engineers across direct reporting structure
I'm the founder of Thinkerwave AITech Private Limited, an Indian AI company building ThinkerWave (self-evolving AI agents, patent pending), Torbi (AI-powered B2B prospecting), and a creator-intelligence platform.
Before founding Thinkerwave, I spent 30 years in production engineering. As CTO of blackNgreen (2013–2026) I owned far more than the tech: the product, the go-to-market, and the P&L. That's the founder's lens I build with now. AI is only worth building if it moves the business.

Thinkerwave AITech · current work
Product · flagship
AI for your hardest problems: high-stakes decisions where being wrong is expensive. It works a problem from every angle and argues against its own answer, then shows its work. Runs locally, available by invitation.
Commercial · AI prospecting
AI-powered B2B prospecting. It reads buying signals across the web and matches them against a seller's entire catalog, then drafts the outreach.
Commercial · in build
An influencer-intelligence platform: pricing, fit, and audience signals for the creator economy. AI applied to the messy problem of matching the right creator to the right brand.
Former · 30 years
Ex-CTO at blackNgreen (290M+ users, $20M+ ARR, 5→160+ customers) and Nexiva (AI voice agents). Led MagicCall to 14M+ downloads. Three Indian patents.
Areas of expertise
Latest writing
Indian enterprises report strong AI adoption, but the same research points to weaker governance and capability. Here is what the published numbers do and don't say, and a five-question test for whether your first agent is ready for production.
An agent can give the right final answer and still be unsafe, slow or ruinously expensive. Here is a seven-metric scorecard for AI agent evaluation, how to build a test set from real work, and how to set release gates before you ship.
You can't reliably prompt your way out of prompt injection. Treat the model as untrusted, and secure what it is allowed to do. Here is a blast-radius review with eight checks for any AI agent that can take real actions.
I'm always open to conversations about Voice AI, agent architectures, and enterprise AI deployment. Reach out on LinkedIn or via email.