Winter 2022

RefineTrain AI

AI agents rewriting & optimising your internal documentation for LLMs

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What they do

agents rewrite internal documents so AI understands company context

How close to us

3, close

builds a cleaned, living knowledge base for other AI; touches W8 upkeep idea; no routing or measured loop

Wedges

  • W8 The other 90% of an AI skill adjacent
L1 Company brain (knows the organisation) 2, clear
L2 Agent team (runs agents, tools, approvals) 1, light
L3 Does and learns (finishes, checks, measures, updates the brain) 1, light

Who buys

Firm size
enterprise
Buyer type
business
Role
head of AI or knowledge
UK
not known
Their own description (from YC)

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.

Full teardown

No full teardown yet. On the deep list.

Technical detail
Slug
refinetrain-ai
Lens hash
179096c479
Pass
screen
Stale
no