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.
Beyond Naive RAG: Building Production-Grade Retrieval Pipelines
40% retrieval precision gain. Most enterprise RAG deployments fail in production because they're built on naive chunking and cosine similarity. Here's how to architect retrieval systems that actually work at enterprise scale, with concrete patterns from systems processing millions of queries per month.
Multi-agent orchestration: how it works in practice (2026)
Multi-agent orchestration coordinates multiple AI agents to work together on a shared goal. Each agent handles a specific subtask, passes outputs to the next agent, and is managed by an orchestrator that sequences the work and handles failures.
Rethinking skills and prompts for GPT-6 Astra
Revisit skill descriptions, AGENTS.md, and task prompts to avoid bloated context.
Ready to build what's next?
Production AI systems or your next engineering challenge — start where you are, and engineer what's next.