A platform that provides efficient and scalable methods for injecting knowledge into Large Language Models (LLMs). Inspired by the “How to inject knowledge efficiently? Knowledge infusion scaling law for LLMs” article, this startup addresses the challenge of improving LLM accuracy and relevance by enabling developers and researchers to seamlessly integrate domain-specific or real-time information into their models. The platform would offer APIs and tools for knowledge extraction, formatting, and infusion, potentially utilizing techniques like retrieval-augmented generation (RAG) and fine-tuning, optimized for speed and cost-effectiveness.