RefineTrain AI
New accelerator entry · 2022-02-04 · the record
In their words
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.
What the record says
- One of 625 companies held here in B2B › Engineering, Product and Design.
No investor is drawn from a Form D — the form states how many invested and never who. The one investor on this graph is named because a batch has exactly one.
The full profile
Source Check, INVEST, RECRUIT and Press Requests on RefineTrain AI
- Source Check — verify what RefineTrain AI states, against the registers that hold it.
- INVEST — size up this company on the figures its record states.
- RECRUIT — see who is already on the team.
- Press Requests — connect with RefineTrain AI for a story.
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Sourced from the company's Y Combinator directory entry.
