An Indian perspective on AI

Intelligence,
rooted in
India.

Language. Efficiency. Possibility.
A thoughtful approach to what AI can become.

BharatGoAI builds India-focused multimodal language models, with work in vision-language fine-tuning, quantization and efficient deployment.

Hyderabad, IndiaEst. November 2025
AN EXPLORATION OF INTELLIGENCE01 / 03

Language, in context.

Exploring models with Indian users and their everyday contexts in mind.

ContextAdaptationUnderstanding
INDIAN ROOTS. OPEN POSSIBILITIES.
Large language modelsQuantizationApplied AI & ML

01 / THE WORK

Deep in the details.
Big on possibility.

Three connected directions.
One belief: useful AI starts with thoughtful engineering.

Research & development

02 / THE PERSPECTIVE

India isn’t one story.
Its AI shouldn’t
be either.

Different languages. Different ambitions.
Different ways of seeing the world.

We believe AI should be shaped by the people and contexts it serves. That perspective guides our interest in language, efficient computation and useful applications.

Meet the thinking behind BharatGoAI

03 / THE APPROACH

Curiosity, with
a sense of direction.

Explore how we think about an AI/ML project,
from the first question to the next iteration.

START WITH THE RIGHT QUESTION

A useful model starts with a real need.

Who is it for? What should it help them do? Start with the context, the task and the constraints before choosing an approach.

Explore our research
01/ 04
01People
02Problem
03Context

A clearly defined problem

A LITTLE MORE CONTEXT

A few good
questions.

Ask us something
01What does BharatGoAI build?

We build and adapt multimodal language models for Indian-context use, including vision-language fine-tuning, model quantization and efficient serving with vLLM.

02Where is BharatGoAI based?

BharatGoAI is based in Malkajgiri, Hyderabad, Telangana, India, postal code 500047.

03How can I collaborate with BharatGoAI?

Email dev@bharatgoai.com to discuss a research question or AI/ML project. You can explore Lokesh E’s models and datasets on Hugging Face and code on GitHub.

THE NEXT CONVERSATION

Big questions.
Shared possibilities.

Have a research idea or an AI/ML project in mind?
We’d love to hear what you’re thinking.

Start a conversation

Last updated: