HyperLLM

HyperLLM brings together a new generation of language model architecture developed at the Indian Institute of Technology, Patna, giving you the freedom to train and tune models on your own terms and integrate them seamlessly with a small-language model. This means teams of any size can shape models around their specific needs without massive infrastructure.

At its core, HyperHRT works on a real-time decentralised fine-tuning approach, so improvements can happen continuously and closer to where your data lives, rather than being locked into heavy, centralized training cycles.

HyperCrawl, part of the HyperLLM ecosystem, is dedicated to building the infrastructure for a world of future LLMs — models that require fewer computational resources while outperforming the models available today.

Completing the stack, Exthalpy offers serverless retrieval to power the future of AI. Build retrieval-first AI applications and models that rely far less on computation-heavy training processes, so you can ship intelligent products faster and more affordably.