Tool sprawl
Linear, GitHub, Slack, Datadog, Notion — context lives in 12 tools, connected nowhere.
Now onboarding design partners
See across every team, before anyone asks.
Numen connects your engineering and product tools into a live context graph — then surfaces what matters to every person in the org, from IC to CTO.
Free for teams under 20. No credit card required.
Today's Brief — Alex Rivera, CTOLive
2 goals at risk this quarterCritical
Retention +15% — 62% complete, 8 days left. API Latency <200ms — blocked by infra capacity. 3 teams affected.
Cross-team blocker: payments → mobile0.92
3-team blocking chain. PR #807 stale 4 days. Historically your org escalates within 2 hours.
Silent bug: checkout funnel dropped 8%Auto
Sentry × Amplitude cross-signal: 340% error spike correlates with funnel drop. No ticket filed.
Built for engineering leaders at
Series B+ 50–500 eng Multi-team orgs
Context is the new bottleneck.
AI made execution fast. But knowing what to execute on — that layer hasn't kept up.
Lost decisions
Why was this built? Who decided? The answer died in a Slack thread three months ago.
Morning scramble
30 minutes catching up across 5 tabs before any real work. Engineers finish tickets faster but the right work runs out.
One graph. Every role's view.
The same context graph surfaces different insights per role. A CTO sees goal risk and cross-team blockers. An engineer sees their prioritised queue. Switch tabs to see each view.
CTO — Alex Rivera
8:00 AM · Today's Brief2 goals at risk this quarterCritical
Retention +15% — 62% complete, 8 days left. API Latency <200ms — blocked by infra team capacity.
Cross-team blocker: payments → mobile → checkout
3-team blocking chain. PR #807 stale 4 days. Historically your org escalates within 2 hours.
Engineering velocity down 18% org-wide this sprint
Correlated with 3 concurrent incidents last week. Recommend sprint buffer for payments team.
Each item shows why Numen surfaced it · Scores personalised per role · Connected to business goals
Why it compounds.
Decisions are first-class entities
Every action is recorded with context, rationale, and outcome. After 18 months, you have institutional memory no competitor can replicate.
Personalised urgency scoring
The same PR scores differently for its author, reviewer, and PM. Weights: blocking (30%), staleness (20%), goal criticality (10%), org precedent (17%).
Agent-ready via MCP
Cursor, Claude Code, and Devin query the context graph. An agent asking 'refactor or quick fix?' gets sprint state, goal urgency, and incident history.
Read-only. Always a draft.
Numen never writes to your tools. Claude dispatch generates drafts — PR summaries, briefing narratives — but never acts without human approval.
Frequently asked questions
What is a context graph?
A context graph captures not just what things are, but how they connect, how decisions were made, and why. Unlike a knowledge graph which stores static entities and semantic relationships, a context graph carries temporal validity (when relationships were active), provenance (which system produced data), confidence scores (inferred vs confirmed), and decision traces (what the graph looked like when someone acted). These properties make it useful for AI reasoning, proactive surfacing, and organisational learning.
How is Numen different from a dashboard?
Dashboards show you data and wait for you to interpret it. Numen reads continuously across all your tools — Linear, GitHub, Slack, and more — and tells each person what to focus on, with the reasoning shown. It is proactive (you do not ask it questions), personalised (the same data surfaces differently per role), and goal-connected (every item is annotated with the business goal it connects to).
What tools does Numen connect to?
In v1, Numen connects to Linear, GitHub, and Slack via read-only OAuth. The roadmap includes Datadog, Sentry, PagerDuty (observability), Amplitude, Mixpanel, PostHog (product analytics), Jira, Notion, Figma, and Confluence. Each connector maps to core entity types — adding a new tool means adding a connector, not changing the graph schema.
Is Numen read-only?
In v1, yes. Numen reads from your tools and surfaces insights. Claude dispatch can generate drafts — PR summaries, briefing narratives, bug reports — but never acts on source systems without human approval. Every output is a draft for review. Write capabilities with an approval flow are planned for v2.
What is an MCP server and how does Numen use it?
Model Context Protocol (MCP) is a standard that lets AI coding agents query external systems for context. Numen exposes its context graph as an MCP server, so agents like Cursor, Claude Code, and Devin can ask questions like 'should I refactor or ship a quick fix?' and receive the team's sprint state, the goal's urgency, the module's incident history, and the org's historical tolerance for tech debt.
How does urgency scoring work?
Each item is scored per person, not globally. The same PR has a different urgency for its author, reviewer, and PM. Scoring components include: blocking others (30% weight), staleness in days (20%), downstream blocked count (10%), goal criticality (10%), recent mention count (8%), sprint membership (5%), precedent severity (10%), and historical response time (7%). The precedent components draw from accumulated Decision entities — the institutional memory of how this specific org responds to similar patterns.
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what matters.
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Join the waitlist and we'll reach out personally.
Free for teams under 20. No credit card required.