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RefineTrain AI

Winter 2022 · Active

AI agents rewriting & optimising your internal documentation for LLMs

Location: San Francisco, US

Founded: 2021

Team size: 4

About

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.

Founders

  • Daniel ChuaFounder

    Ex-lawyer turned entrepreneur (because 5 hours of sleep was still too much). Excited about tech, especially in how it can impact the physical world. Avid backpacker, can't wait to travel across South America some day.