New — live in production across lending, industrial & clinical. See the customers →
Products / Nous

Search and reason over all your company knowledge.

A knowledge engine with RBAC-scoped search across your structured and unstructured data. Multi-agent research, report generation, background indexing — RLHF-tuned with external memory, kept current by background agents.

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01 · Capabilities

What's inside.

02 · Architecture

All sources in. One searchable corpus out.

Background agents continuously index every source. The pipeline runs through NER + semantic chunking, indexed into semantic + lexical + graph search. RBAC + per-team CMK are applied at query time. An external memory layer remembers prior conversations. An agentic query orchestrator dispatches the right tool per question.

Flow

confluence · github · jira · drive · cw logs
  ↓ background indexing
semantic + lexical + graph search
  ↓
rbac · external memory · rlhf loop
  ↓
agentic query · search · sql · code · report

03 · Live in production

Core-banking client.

knowledge

Core-banking client · L1/L2/L3 support

L1, L2, and L3 engineers use Nous to resolve tickets faster, generate root-cause reports, and accelerate runbook authoring. Every query is RBAC-scoped; nothing leaves the client VPC.

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What we won't do
  • Send your PII to a third-party model — sensitive fields are stripped before any external call.
  • Ship without a CLEAR scorecard — every deployment gets a baseline across five dimensions before it goes live.
  • Add an agent that doesn't earn its place — Gate 1 kills decorative multi-agent designs; each agent must add new signal.

Start with a Diagnose.

Two to three weeks. $6K–$12K. A written scorecard with topology recommendation, cost ranges, and remediation plan. No commitment to build.

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