Bangalore
The AI capital of Asia. Visits to active AI research labs and production shops.
An international residency for serious teenage builders. Fifty students a year, five cohorts of ten. You travel, you build, you ship real AI systems with the studio behind Fairshift and Vani. You graduate with a portfolio, a global peer network, and a clearer view of what you are capable of.
“The kid who already ships things. Who keeps trying to build something real, and keeps running into the same walls.”
The cohort is small because the students are specific. The residency is international because the peer network matters as much as the curriculum.
Each cohort happens in a city where real AI work is being done — with site visits to the labs, companies, and teams shipping it.
The AI capital of Asia. Visits to active AI research labs and production shops.
Gulf innovation corridor. Ship something deployed across regulated-market infrastructure.
Southeast Asia's most institutional AI ecosystem. Government, startup, and multinational context.
The Estonia of e-residency. Build civic AI. Ship a product that interacts with a real national digital system.
The original. Visits to model labs, agent companies, and the firms shipping what everyone else uses.
These are the cohorts with live application windows. Every cohort fills at ten students, rolling.
Every student graduates with working systems they can show, install, and keep running.
Built on the same Deepgram + LLM + TTS pipeline running Vani at millions of minutes. Deployed to a real number you can call.
WhatsApp + web widget + voice, unified. The architecture Fairshift ships to real businesses, compressed into your own build.
Your capstone. You propose, design, and ship something that did not exist before the cohort started. Graded on whether it works.
Your fifteen-year-old is about to be capable of building powerful systems. We make sure they also learn how those systems get weaponised — so they can spot the attack, and never be the one building it.
We show students the real tradecraft. Phishing apps that look legitimate, deepfake videos, voice clones of a parent's voice used to extract money. Students learn to see it coming.
Every powerful tool cuts both ways. We teach the boundary between building something useful and building something weaponised.
Students train on production models with studio supervision. Every deployment passes a safety review. Every output is auditable.
By the end students understand they are now capable of building systems that affect other people's lives. How they wield that is no longer theoretical.
Twelve to sixteen year olds with a real interest in building AI. Not "loved the robotics club once." We are looking for kids who already write code, already use modern AI tools, already have an idea they have tried and failed to build on their own.
Applications open for the 2026 cohorts. Begin the conversation, meet an admissions operator, and your child meets the cohort of ten they will build with.
Production AI platform. Voice, WhatsApp, avatar, kiosk, web. 12 LLM providers, multi-jurisdictional.
Autonomous AI voice agent platform. 42 languages, sub-1s response, millions of minutes at 99.9% uptime.
More products launching this year. Every new system we ship becomes the next thing Academy teaches — refreshed every term against what is actually shipping, not against what was current when the syllabus was printed.