Tech Mahindra Launches Hindi‑First LLM for Education Under Project Indus

Tech Mahindra, a leading global technology services company, has launched a Hindi‑first large language model (LLM) tailored for the education sector under its indigenous Project Indus, in collaboration with NVIDIA. The announcement was made at the India AI Impact Summit 2026, highlighting a strategic step in building AI capabilities centred on Indian languages and learning needs.

What Is the New Education LLM?

The newly developed model is a large language model built specifically for educational use and natural Hindi communication. Unlike many global AI models that predominantly use English and other major languages, this Hindi‑first LLM is designed to understand and generate contextually accurate responses in Hindi and support AI tools that can assist learners across a range of academic subjects.

Key features include:

• Education focus: Designed to provide foundational understanding in core subjects like physics, among others, making complex concepts accessible in Hindi.
• Large architecture: The model has been scaled to 8 billion parameters, offering strong language comprehension and generation abilities.
• Language inclusivity: Built to embrace linguistic and cultural diversity, enabling AI‑powered learning tools that speak and respond fluently in natural Hindi.
• Agentic AI support: Capable of supporting autonomous AI agents that interact with users in Hindi for more interactive educational experiences.

Collaboration with NVIDIA and Technology Backbone

To develop the education‑focused LLM, Tech Mahindra partnered with NVIDIA, leveraging advanced AI infrastructure and frameworks, such as:

• NVIDIA NeMo framework for AI model development.
• NVIDIA NIM microservices for scalable deployment and production readiness.
• Synthetic training datasets — hundreds of millions of tokens generated to overcome the scarcity of high‑quality Hindi language data for training

This infrastructure ensures the model’s performance, scalability and readiness for real‑world educational applications.

Why This Matters for Indian Education?

Several education experts highlight that mainstream AI tools often lack domain training in local languages and culturally relevant learning contexts — making them less effective for diverse learner groups in countries like India. The introduction of a Hindi‑centric LLM aims to address this gap by:

• Democratising access to quality learning — students across socio‑economic backgrounds can benefit from AI‑assisted explanations in their first language.
• Tailoring content to Indian curricula and learning styles, potentially assisting millions preparing for board exams, competitive tests, and foundational learning modules.
• Supporting scalable AI education tools such as tutoring assistants, homework helpers, interactive Q&A systems, and autonomous study companions.

Project Indus and the Broader AI Vision

Project Indus is part of India’s broader push toward sovereign AI models that are developed with local languages, cultural context, and educational relevance at the forefront. Tech Mahindra’s involvement in this initiative — along with other partnerships — reflects an industry drive to empower Indian learners with AI tools tailored to local needs and learning environments.