An applied AI studio, started by a teacher who builds.
Bodham Labs builds practical AI for businesses, teaches AI to teams and students, and makes Bodham, a learning platform for school students. We are based in Delhi, India, and work with clients everywhere.
BODHAM LABS AT A GLANCE
- NAME
- Bodham Labs (बोधम्)
- WHAT WE DO
- Operations automation, private AI search, agent infrastructure and Hindi/Hinglish AI for businesses; training in AI, ML and agents; the Bodham learning platform.
- BASED IN
- Delhi, India · clients in India and abroad
- FOUNDED
- 2026, by Prabhakar Chandra
- REGISTRATION
- Udyam-registered micro enterprise (MSME)
- LANGUAGES
- English and Hindi
- PRODUCT
- Bodham — study and practice for school students · launching soon
- SISTER INSTITUTION
- RK Institute of Learning, a coaching institute in Delhi co-run by our founder. It is where RK Ops runs every day.
THE NAME
बोध means understanding.
It comes from the Sanskrit root बुध् (budh) — to wake up, to become aware. The same root gives us Buddha, “the awakened one”, and बुद्धि, intelligence.
Our mark is a seated figure in a few strokes: a head with light held inside it, and a body whose inner arc carries the same light. Beside it, the Bodhi leaf — from the tree of awakening — signs our footer, and the awakened o names Bodham, our learning platform. It stands for the kind of AI we want to build — systems that actually understand the job, and people who understand the systems.
FOUNDER
Prabhakar Chandra
BTech (Electrical Engineering) · MCA · B.Ed
An engineer who has spent years in the classroom — teaching classes 11 and 12 and preparing BCA students for their first jobs — and who builds the AI systems in our work ledger. He co-runs RK Institute of Learning in Delhi, which is where our first automation went into daily use.
He leads every client project personally.
A small team, trained in-house
Apprentices on real work
BCA students and graduates work as junior developers on production projects, with every change reviewed by the founder.
The smallest model that works
We test small and open models first, and only reach for a large one when the numbers say so.
Numbers before adjectives
Every claim on this site links to a measurement — or is labelled as not measured yet.