Ideas shaping Bharat AI
Research notes and practical guides from our team on the technologies we build with.
Why Bharat Needs a Sovereign Frontier AI Model
Data, language, security and economics: the case for building a frontier-grade foundation model in India, for India and for the world.
From Chatbots to Coworkers: Agentic AI for Business Process Automation
How AI agents plan, use tools and finish multi-step work, and a practical blueprint for deploying them safely in your enterprise.
Edge AI and Local LLMs: Cheaper, Greener and More Private
Quantisation, small language models and hybrid routing: how to run useful LLMs on your own hardware and reduce cost, latency and footprint.
RAG or Fine-Tuning? A Practical Decision Guide
When to retrieve, when to train, and when to combine both. A decision framework for teams adapting LLMs to their own data.
Physical AI: When Models Get a Body
Robots, sensors and machines that perceive and act. What makes Physical AI different from software AI, and why the edge is essential.
Securing AI Agents: Prompt Injection, Tool Abuse and Zero Trust
Agents that read the world and call tools create a new attack surface. Here is how to threat-model and defend them.
Teaching Machines Bharat's Languages: The Tokenization Problem
Why many LLMs are slower and costlier in Indian languages, and what it takes to build models that treat Indic scripts as first-class.