LLM (Large Language Model) startups develop or deploy AI systems trained on vast text datasets to understand, generate and manipulate human language with high accuracy.

India’s LLM ecosystem is in its formative stage but rapidly gaining traction. Inc42 reported that AI startups comprised nearly 40% of new SaaS ventures funded in 2024, up from 19% in 2022. In total, Indian SaaS startups raised over $2.1 Bn in 2024, up 31% YoY. The push for Indic language support and enterprise AI adoption is fuelling this demand. Startups are either building India-centric LLMs or fine-tuning open-source models for local contexts and languages.

These startups are solving key gaps like limited representation of Indian languages, lack of domain-specific intelligence and dependency on foreign models. Key applications include legal research, healthcare summarisation, customer support automation and government service interfaces. Challenges include high compute costs, data privacy concerns and limited access to quality local-language datasets. Startups are addressing these with synthetic data generation, retrieval-augmented generation (RAG) and on-device inference capabilities.

Notable Indian startups working with LLMs include Sarvam AI, Krutrim, Vizzhy, Neysa and SpaceMatrix AI. These ventures are developing foundational models, vertical AI copilots and multilingual chat systems tailored to Indian users and enterprises.

LLM Model