RefineTrain AI

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.

YC batch

W22 · Winter 2022

Status, per YC

Active

Category

AI, Developer tools

Team size

4

Location

San Francisco, CA, USA; Remote

Checked

10h ago

YC tags: B2B, AI