We build the engineers, leaders,
and institutions defining India's AI decade.
Three platforms. One bet — that capability, earned the long way with first principles and real projects, compounds. Tools don't.
AI/ML engineering, taught the way Karpathy and Hassabis learned it. Hands-on curriculum, Socratic tutor, MLE interview prep. Built for engineers who want FAANG-tier offers.
Executive AI for leaders who fund and govern. McKinsey- and Bain-tier briefings, vendor evaluation, board-room AI strategy.
Cohort licenses for AI engineering training. Trusted by NST, Rishihood, VIT, Shoolini. Live admin dashboard, per-cohort access windows.
For rigor. Against fluff. — at every scale.
Trusted by teams at
1 Million Engineers Graduate Every Year.Less Than 10% Can Build AI.
India has the world's largest pool of AI learners - 1.3 million - yet ranks 89th out of 109 countries in actual AI proficiency. The gap between learning about AI and building with AI has never been wider.
89%
of engineers think they’re AI-ready
Only 19% are actually building AI systems
Scaler-CMR 2026
82%
of Indian employers can’t fill AI roles
AI skills are now the #1 hardest to find, overtaking traditional IT for the first time
ManpowerGroup 2026
34%
of colleges are integrating AI into curriculum
The other 66% are teaching 2019 theory in 2026
NIIT India Skills Gap Report 2026
Lex AI exists to close this gap - replacing outdated lectures with structured AI training from the engineers who build AI at Google, Amazon, and Oracle.
The AI Hiring Wave Is Here.The Window Won't Stay Open.
Every month you wait, the gap between you and AI-ready engineers compounds. Companies aren't eliminating engineers - they're eliminating engineers who can't work with AI.
India faces a 50–55% talent gap in AI roles - roughly half of all positions sit unfilled. AI hiring is growing at 30% year-on-year, even as traditional IT demand collapsed from 42% to 23% in a single year. Students self-rate their job-readiness at just 57 out of 100. This isn't a future problem. It's happening right now.
Sources: AnalytixLabs 2026, ManpowerGroup 2026, NIIT 2026
The best time to start was last year. The second best time is right now.
Trusted across boardrooms, classrooms, and conference stages.
From Capgemini's C-suite to GITEX Dubai, from IISc Bengaluru to Newton School — a snapshot of where we've taught, advised, and shipped.
Talks, lectures, and live moments — unedited.
Learn AI from First Principles
From foundational algorithms all the way to cutting-edge AI products, delve into the math, the models, and the path to AGI.
DeepMind's Brilliant Strategy for AGI
How DeepMind is approaching artificial general intelligence through a unique research strategy that differs from the rest of the industry.
Why AlphaGo is Better Than ChatGPT
Understanding why reinforcement learning breakthroughs like AlphaGo represent a deeper form of intelligence than large language models.
What are World Models & AGI
An exploration of world models and why they might be the missing piece in the quest for artificial general intelligence.
The Equation That Quietly Built Modern AI
The single mathematical idea behind gradient descent, backpropagation, and nearly every breakthrough in deep learning.
What Actually Happens Inside an LLM
A first-principles walkthrough of how large language models process text, from tokenization to attention to generation.
Why AI Suddenly Got So Good (LLM Scaling Laws)
The scaling laws that explain why throwing more data and compute at language models produces predictable, dramatic improvements.