Atrium captures the decisions a company makes — the why, the evidence, the dissent — and serves them as governed context to every employee and every AI system that works alongside them.
Slack, Zoom, Notion, Jira, Linear, dashboards, tickets — and the heads of the people who were in the room.
Decisions get made, then re-debated months later because nobody can find what was decided or why.
Every departure takes uncodified context with it. AI agents inherit the same picture.
Agents are entering the workflows where decisions get made. They need context that is current, authoritative, and inspectable — and the existing knowledge stack cannot provide it.
Existing wikis, search, and RAG pipelines were built for documents. None of them establish authority, model disagreement, or expose change over time — the things AI systems actually need.
If you can find the right doc, you have the answer. Search, wikis, and RAG all assume this.
The doc is a snapshot. The valuable artifact is the decision behind it: who chose what, on what evidence, with what dissent, and what came before.
Companies don't lose documents. They lose decisions — the why, the dissent, and what was true last quarter.
Every category in the knowledge stack indexes what was written. None of them model what was decided, by whom, or whether it still holds.
| Category | Authority | Disagreement | Provenance | Change over time |
|---|---|---|---|---|
| Enterprise search Glean, Coveo |
Returns hits, not truth | Not modeled | Source-of-doc only | Latest doc wins |
| Wikis Notion, Confluence |
Manual upkeep | Comments, not structure | Author, not evidence | Page history, no semantics |
| RAG / copilots Vector retrieval |
Retrieves stale & disputed | Conflates contradictions | Chunks lose context | No supersession |
| Knowledge graphs Custom / opaque |
Hard to inspect | Single-truth model | Edges, not evidence | Brittle to change |
| Atrium Governed decision memory |
Validated by named owners | First-class dissent | Evidence + rationale per claim | Supersession on the record |
Atrium captures what the company believes, why, and based on what — then exposes it as trusted context to every human and every AI agent that needs it.
Atrium runs continuously across your communication and work surfaces. Every step is inspectable; nothing becomes "official" without a human in the loop.
Permission-aware connectors stream Slack, Zoom transcripts, Notion, Linear, GitHub, dashboards, and tickets — without copying them.
Models propose a structured decision: claim, owner, rationale, evidence, confidence. Routed to the named owner — never auto-published.
One-click confirmation with attached evidence. Owners can mark disputed, request review, or supersede a prior decision on the record.
Validated decisions are queryable via API, embedded in skills, and used to fine-tune. Stale and contradicted claims surface automatically.
Compaction backlog on node-04 starving read replicas. Failover to eu-west-2 rejected at 12:41 — billing RTT too high. Current path: rolling restart + read quorum reduction.
It's where the highest-stakes decisions are made, where the cost of forgetting compounds fastest, and where AI tools have the deepest reach. Land here, expand horizontally.
A budget conversation with one VP unlocks daily use across the engineering and product org.
A memory layer that AI systems rely on must be auditable end-to-end. Five guarantees, written into the data model.
Ingestion and serving respect source-system ACLs. A decision is only visible to viewers who can see all of its evidence.
Nothing becomes "official" without a named owner clicking approve. AI proposes; humans decide.
Every claim cites its evidence — Slack threads, transcripts, dashboards — and links back to the source.
Edits, supersession, and review cycles are logged and replayable. Compliance gets a clean export.
Disagreement, confidence, and review status are first-class. Stale or disputed decisions surface, never silently disappear.
The future company memory
is governed, inspectable,
and AI-readable.
We're building it — and we want to be the system of record for organizational truth.