Sovereignty First
Every model we train, every byte of data we process, every inference we serve happens on sovereign infrastructure under governance we control. This is not a policy. It is an architectural constraint baked into everything we build.
Founded by researchers and engineers who believe AI should be built by its makers, for the world. Born in Bharat, with no dependence on rented infrastructure, borrowed training data, or third-party compute.
Our structure
AICONSORTIUM is organised around one conviction, that a nation should own the intelligence it depends on, and every decision follows from it.
Our principles
Mission
For too long, the most powerful AI systems have been built by a handful of labs, trained on data that underrepresents most of the world's languages, contexts, and people. AICONSORTIUM was created to change that. We build foundational AI, born in Bharat, governed by strong law, answerable to the people it serves.
Our goal is not to catch up. It is to lead: to produce world-class intelligence that serves people everywhere, in their own languages and contexts, and to prove that sovereign AI can be built at home and shared with the world.
By the Numbers
Structure
AICONSORTIUM Private Limited is a privately held company, incorporated on 7 May 2026 under the Companies Act 2013. It is the formalisation of research and engineering work that had been underway since 2024. We are bootstrapped and growing, funded by the founders and a small group of strategic investors who share our conviction that sovereign AI infrastructure is non-negotiable for a self-determined future.
We do not accept capital that compromises our sovereignty mandate. Every investment partner signs our Foundational Principles agreement before any transaction closes.
The Team
Our team spans disciplines that rarely collaborate, and that is by design. Building sovereign AI requires more than machine learning.
ML researchers with experience across frontier labs and academic institutions, specialising in MoE architectures, federated learning, and multilingual NLP.
Systems engineers who have built infrastructure at scale, from training pipelines to low-latency inference serving for hundreds of millions of users.
Native speakers and computational linguists covering a wide range of the world's languages, ensuring our models understand real linguistic diversity rather than a simplified approximation.
Lawyers, policy specialists, and compliance officers ensuring every product we build respects data-protection law and sector-specific regulation across the jurisdictions we serve.
Values
Every model we train, every byte of data we process, every inference we serve happens on sovereign infrastructure under governance we control. This is not a policy. It is an architectural constraint baked into everything we build.
We do not ship unsafe models to meet a deadline. We do not scale past our safety understanding. Our Responsible Scaling Policy codifies this commitment, and it binds the entire organisation, not just the safety team.
We publish model cards, safety evaluations, training data disclosures, and incident reports. If something goes wrong, you will know. We believe trust must be earned through openness, not asserted through authority.
Join Us
We are hiring researchers, engineers, linguists, and builders who want to work on problems that matter at a scale that moves nations.