Learn AI. Build AI. Ship AI.
We train the next generation of AI builders
and build Agentic AI systems for production.
Two paths. One standard.
Whether you're an engineer building your first agent or an enterprise shipping to production, we hold the work to the same bar: it has to work in the real world.

Learn AI by building it.
Hands on labs, hackathons, and build sprints that turn AI knowledge into working systems not tutorial checkboxes.

Engineer AI for the real world.
Production grade agents, enterprise RAG, and infrastructure built around real operational constraints.
Built for the real world.
Not another framework. Here's what we've actually shipped for builders and for enterprise teams.

From AI ideas to working systems.


Engineered for real users, not benchmarks.
Explore our workThe room where the work happens.
Hands-on experiences for builders who want to go past tutorials and put AI to work in Bengaluru and beyond.

Community Meetups
Regular in-person sessions with builders shipping real AI systems.

Webinars & Masterclasses
Deep technical sessions on agents, RAG, and production infrastructure.

Hackathons & Sprints
Time-boxed, high-intensity builds judged on what actually ships.

Upcoming Gatherings
See what's next on the calendar.
Field notes, not thought leadership.
Technical essays, system design teardowns, and engineering benchmarks written from systems we've actually shipped.
Harness engineering: leveraging Codex in an agent-first world
Building and shipping an internal software beta with 0 lines of manually-written code. Humans steer. Agents execute.
Inside OpenAI’s in-house data agent
Data powers how systems learn, products evolve, and how companies make choices. Exploring and reasoning over internal data with a bespoke AI agent.
Demystifying evals for AI agents
The capabilities that make agents useful also make them difficult to evaluate. Practical harness strategies across real-world deployments.
From high-growth startups to enterprise engineering orgs.
"Hitesh's hands-on AI engineering sprints and technical coaching significantly strengthened our team's ability to design and ship complex LLM workflows into production."
"Hitesh architected and deployed a production AI system around our core operations, with a strong focus on reliability and real-world business requirements."
"Hitesh helped us design and deploy Agentic AI systems with multi-agent architectures and deterministic tool integrations built around real operational requirements."
Ready to build what's next?
Production AI systems or your next engineering challenge — start where you are, and engineer what's next.


