01
Ingest the messy stuff.
Docs, decks, decisions, meeting notes, contracts, tickets. Parsed, linked, indexed against your capability map.
The context layer behind your AI and software.
Node connects to your tools and learns how your business operates — the people, the processes, the decisions. Every agent, brief, purchase, and approval draws from that understanding.
From archive to answer.
Context isn't a search index. It's a graph that knows how your decisions connect to each other.
02
Answer with citations.
Plain-English queries return cited answers. Every claim is traceable; every source is governed.
03
Power everything else.
Briefs, agents, approval flows, and the ask box all draw from the same graph. One place to govern what the AI knows.
The graph behind every answer.
The behaviour is invisible when it works. Three properties keep it that way.
Ingest
Parsed, linked, governed.
Drive, Notion, Slack, Linear, DocuSign, Confluence, code, ticketing — same parser, same governance, same scope rules. The shape of the graph doesn't depend on which tool the team chose this year.
- SourcesDrive · Notion · Slack · Linear · Rippling
- SetupConnect once, no migration, no tagging
- MaintenanceNone — new docs indexed automatically
Cite
No hallucinations dressed up as facts.
Every answer points back to the source it came from. Confidence is a number on the page, not a vibe in the prompt. Pricing-council notes look like pricing-council notes; the model says where it found them.
- Every answerCites the source document
- ConfidenceScored, not assumed
- DecisionsShows who made it and when
If your AI can't tell you where it learned that, it didn't really learn it.
Node — Context engineering principles
Stop guessing your software decisions.
Node maps how your business works and how software supports it — so every decision is grounded in what's real.
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