caveauAI
Private knowledge, retrieval, governed agents, and deployment choices for organisations that need to know what an answer rests on. Knowledge Exchange adds curated, source-cited corpora inside the caveauAI ecosystem.
Available nowBlue Note Logic · governed product engineering
AI systems that work from your evidence—and stay inside your rules.
We build focused AI products around the material your business already trusts: customer history, operating knowledge, source code, and private documents. The system drafts and explains. People keep authority.
Four products · one evidence-first operating model · deployment options from shared to sovereign
The product family
Choose the problem. Keep the governing idea.
Each product is useful on its own. Together they express the same position: AI should work from identifiable evidence, disclose its limits, and hand material decisions to a person.
bnlCRM
Turn customer messages into approved, connected work: grounded drafts, human decisions, CRM or ERP continuity, and governed follow-up.
Early accessProofMEM
Standalone, scoped memory for coding agents that need durable context without an ungoverned notebook. Claude Code, VS Code, Codex and Google Antigravity sign in with Blue Note ID.
Founding access openProofGit
Turn any Git repository into versioned, inspectable context for engineers and coding agents, with useful answers traceable to source.
Available nowNaming note: caveauMEM is the governed memory layer used inside caveauAI. The standalone agent-memory product is ProofMEM.
Business outcomes
Start with work people recognise.
The useful question is not “where can we add AI?” It is “which repeated decision already has evidence, a responsible owner, and a measurable handoff?”
Customer conversations
Draft replies from customer history and approved knowledge, then route them to a person who can correct, approve, and send.
Institutional memory
Keep decisions, preferences, and operating lessons available to the right agent without turning every note into universal truth.
Code intelligence
Give coding agents source-backed context about symbols, dependencies, and related files before they propose a change.
Private knowledge
Search internal documents and curated corpora with source visibility, tenant boundaries, and deployment options that match the risk.
How governed work moves
Evidence in. A draft out. Authority stays human.
A dependable AI workflow is a chain of explicit boundaries, not a mysterious autonomous loop.
Ground the task
Connect only the records, documents, repositories, and memories this job is allowed to use.
Produce a traceable draft
The system returns an answer or proposed action with the evidence and uncertainty visible.
Apply policy before action
Unknown or disallowed actions stop. Material changes and customer-facing work enter an approval path.
Put a person on the decision
A named human reviews, changes, approves, or rejects the work—and the handoff is part of the record.
Proof before theatre
Built for work that has to hold up.
We favour inspectable product behaviour over broad “AI transformation” claims: cited answers, bounded tools, explicit launch states, and deployment facts you can verify.
Customer story
Trivia & Tunes turns a growing media archive into a searchable, reusable knowledge experience—without losing the source material behind each result.Read the case study →
Deployment & trust
SharedFast start with tenant boundaries.
DedicatedA single-tenant operated stack.
SovereignInside your perimeter when required.
Human approvalCustomer-facing work remains a draft.
A working session, not a sales script
Bring the workflow that is costing your team attention.
We will identify its evidence, authority boundary, and smallest useful product shape—then tell you candidly whether one of ours fits.