RefineTrain AI
Winter 2022 · Active
AI agents rewriting & optimising your internal documentation for LLMs
Location: San Francisco, US
Founded: 2021
Team size: 4
Industries:
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:
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• 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
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• 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
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• 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.