Nexor searches your documents, tickets, and SOPs across 100+ languages and answers with citations — so nobody digs through wikis again.
Most "AI search" stops at embeddings. Nexor adds a dedicated reranking stage and a grounded answer engine — that’s where the precision comes from.
Your docs, wikis, tickets, and SOPs become multilingual vectors. Meaning is captured across languages, so an Indonesian question finds the English SOP that answers it.
BGE-M3 embeddingsA dedicated cross-encoder model re-scores every candidate document against your actual question — judging true relevance, not just vector similarity. Weak matches get cut before they can pollute the answer.
mDeBERTa-v3 cross-encoderThe top-ranked sources go to the answer engine, which replies in your language with citations on every claim. Strict mode refuses to answer when the docs don’t cover the question.
Grounded generationTwo models with two jobs: one to search broadly across languages, one to judge narrowly. Plus the guardrails that make AI answers trustworthy at work.
Dense retrieval over 100+ languages with BGE-M3. Ask in Bahasa Indonesia, retrieve from English documentation — cross-lingual search that holds up.
An mDeBERTa-v3 reranker reads each query-document pair and scores true relevance. This second stage is what separates plausible answers from correct ones.
Every claim in every answer links back to its source document. If you can’t check it, it isn’t an answer — it’s a guess.
For SOPs, legal, and regulated content: when the documents don’t contain the answer, Nexor refuses instead of hallucinating. Exact, auditable, boring — on purpose.
Your documents are never used to train shared models. Your knowledge base stays yours — indexed, searchable, and isolated.
Retrieval and orchestration run on serverless edge infrastructure — no servers to manage, scales from a team wiki to a company-wide knowledge base.
Anywhere the answer already exists but nobody can find it fast enough.
Incident runbooks, retention policies, approval chains — answered in seconds with citations, in strict mode that won’t improvise on regulated content.
Point Nexor at your help center and ticket history. Agents get grounded draft answers with sources instead of searching five tabs.
Architecture docs, ADRs, onboarding guides — searchable in the engineer’s own language, with the exact doc and section cited.
Nexor is an independent software studio building AI tools for teams drowning in their own documentation. We believe the best answers are already written down somewhere — our job is to find them, rank them, and cite them.
We’re starting with multilingual knowledge search because most teams don’t work in one language — and most search tools pretend they do.
Currently in private betaEarly access, partnerships, or just curious about the tech — we read everything.
hello@nexor.bond