ThinkerWave
Product · flagship
AI for your hardest problems — high-stakes decisions where being wrong is expensive. It works a problem from every angle, argues against its own answer, and shows its work. Runs locally; available by invitation.
Founder, Thinkerwave AITech · Sovereign AI · AI Agents
Vikas Goel
Founder of Thinkerwave AITech, building autonomous, self-evolving AI agents. 30 years turning AI into measurable business results — at enterprise scale.
$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 — and 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
What I'm building right now
Torbi
Commercial · AI prospecting
AI-powered B2B prospecting — reads buying signals across the web and matches them to a seller's entire catalog, then drafts outreach. One signal, the whole product line.
Creator Intelligence
Commercial · in build
An influencer-intelligence platform — pricing, fit, and audience intelligence for the creator economy. AI applied to the messy problem of matching the right creator to the right brand.
Track record
Former · 30 years
Ex-CTO at blackNgreen (290M+ users, $20M+ ARR, 5→160+ customers) and Nexiva (AI voice agents). Led MagicCall — 14M+ downloads. Three Indian patents.
Areas of expertise
30 years shipping production AI at scale
- · Enterprise voice AI, in production at scale
- · AI agents & agentic architecture
- · Self-evolving AI agent research
- · Taking AI from pilot to production
- · AI that drives revenue — recommendation & upsell
- · Build-vs-buy & AI strategy for enterprises
Latest writing
From the blog
5 min read
Build vs Buy vs Boost Enterprise AI: A CTO's Decision Framework
Should you build your own AI agents or buy a platform? The honest 2026 answer is neither on its own — most enterprises should buy the 80% and build only the critical 20%. Here's the decision framework, the real total cost of each path, and why ~75% of in-house AI builds fail — from a CTO who's made the call with real budgets.
- Enterprise AI
- Build vs Buy
- AI Strategy
6 min read
Deterministic AI Agents: How to Beat Hallucination on the Problems That Actually Matter
Ordinary AI is confident — which is fine until the problem is hard, contested, and expensive to get wrong. Then confidence without the ability to doubt itself becomes the danger. Here's why autonomous agents hallucinate on high-stakes problems, why a bigger model makes it worse, and the architecture that makes an agent trustworthy: argue, ground, verify, refuse, show.
- Autonomous Agents
- AI Hallucination
- Deterministic AI
7 min read
Voice Model Optimization: Why Your Voice AI Sales Agent Sounds Slow — and How to Fix It
A voice AI sales or lead-qualification agent fails in two ways: it's too slow, or it's confidently wrong. Both are voice model optimization problems. Here's the production playbook — the latency budget, the optimization levers, and how to make the agent fast AND grounded enough to trust on a live call.
- Voice AI
- Voice Model Optimization
- AI Agents
Working on something at the AI frontier?
I'm always open to conversations about Voice AI, agent architectures, and enterprise AI deployment. Reach out on LinkedIn or via email.