Core Technologies: Building the Sovereign Stack
We are developing the foundational layers of intelligence to position India as a global epicentre for AI innovation.
Sovereign Language Models (Indic LLMs & SLMs)
Indian languages and culture remain under-prioritized in current global models. Because they are trained primarily on English, they tokenize Indian scripts inefficiently — breaking words into excessive fragments leading to higher costs, slower processing, and cultural disconnects. VSAIL focuses specifically on catering to Indians to make it more familiar, accessible, and relatable by building next-generation Indic-LLMs trained on a massive, curated dataset of 22+ languages. By developing our own Indic-first tokenizers and training on native literature, we are ensuring that digital sovereignty is inclusive. Our models preserve cultural context, protect data privacy, and give every Indian language equal power in the digital world.
Vision–Language–Action (VLA) Models for Robotics
The future of AI is not just on a screen; it is in the physical world. VSAIL is moving beyond standard robotics to build Vision-Language-Action (VLA) models. Unlike Western robots trained for sterile factories, our models are being trained on the Kreyntra dataset — capturing the complex, unstructured realities of Indian MSME workshops and households. These models empower intelligent co-bots to understand natural language instructions (for example, "Sort the ripe mangoes" or "assemble this circuit") and execute complex physical tasks, transforming industries like manufacturing and agriculture.
AI-Native Code Generation
To build a truly self-reliant digital infrastructure, we are optimizing LLMs to translate high-level human intent (voice and text) into robust, working software. This accelerates innovation, allowing non-coders to build solutions and helping India's developer ecosystem scale with unprecedented speed.