RefineTrain AI (YC W22) — AI agents rewriting & optimising your internal documentation for LLMs

In their words

We rewrite and optimise your internal documentation for AI, giving it deep enterprise context. This unlocks substantially better LLM results across all AI workflows. PROBLEM: -------------- • AI teams struggle with LLM accuracy building AI workflows and agents because of messy, conflicting, fragmented internal knowledge. • Internal knowledge conflicts, uses undefined jargon and rely on unstated company assumptions & context. • LLMs are like Day 0 fresh hires – they can’t understand this documentation properly without someone explaining context to them. • Furthermore, vector search suffers from poorer retrieval accuracy when company context and terms are not present in a knowledge article WHAT WE DO ------------------- • Clean & De-Conflict: Our AI agents read every doc, resolve contradictions, and builds content relationships. • Context Distillation: Our AI agents read & compare related docs, distills context and rewrites an LLM-optimised version of your internal documentation. Optional human-approval ensures 100% confidence in the output. THE OUTCOME ---------------------- • Agents and chatbots that actually understand your enterprise context. • Retrieval that delivers precise, policy-aligned answers on the first try. • A living knowledge base that stays synchronized with every new doc revision.