Winter 2022
RefineTrain AI
AI agents rewriting & optimising your internal documentation for LLMs
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
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:
--------------
• 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.
Full teardown
No full teardown yet. On the deep list.
Technical detail
- Slug
- refinetrain-ai
- Lens hash
- 179096c479
- Pass
- screen
- Stale
- no