Investment metric intelligence
An intelligence layer for investment metrics.
Margin turns the metrics scattered across your spreadsheets and models into governed metric registries, so investors always work from one trusted, source-backed definition.
Overview
Metric registries, built for investors.
Margin gives investment teams governed metric registries with a clean way to search trusted metrics, understand lineage, and produce source-backed analysis for portfolio decisions.
Turn portfolio questions into traceable analysis paths.
Connect definitions, sources, freshness, and lineage.
Move source-backed briefs into committee workflows.
Integrations
Connect the tools investors already use.
Systems
What Margin does for investors
Trusted metric definitions
Margin finds how every metric is actually calculated across your spreadsheets and models, flags conflicting definitions, and keeps one governed, approved version of the truth.
- Conflicting definitions surfaced automatically
- Approved definitions with full lineage
- Audit trail for every change
Always-current metrics
As your source files change, Margin keeps trusted metrics up to date so investors always work from the latest numbers without manual reconciliation.
- Automatic change detection
- Source freshness at a glance
- No manual re-imports
Answers in your tools
Ask about any metric from Slack, Teams, or Linear and get a governed, source-backed answer in seconds. Conflicts and alerts reach the team where they already work.
- Metric answers without leaving chat
- Conflict alerts where the team works
- Definitions, owners, and lineage on demand
Next
Investor-ready hardening
Hosted permissions
Teams, roles, audit logs, and governed metric approvals.
More source connectors
Broader coverage for warehouses and fund accounting exports.
Committee report exports
PDF and PowerPoint packs backed by metric lineage.
Deeper analytics
Scenario analysis, anomaly detection, and correlations.
FAQ
How Margin compares
How is Margin different from dbt?
dbt builds data models you author in a warehouse. Margin discovers how metrics are already calculated across your spreadsheets and models, reconciles conflicts, and keeps one governed metric registry.
Do I have to replace dbt or my warehouse?
No. Margin sits on top of the tools you already use and flags when their definitions disagree.
How is this different from Claude Code integrations?
Coding assistants help engineers write code. Margin answers investors' metric questions with governed, source-backed definitions in Slack, Teams, and Linear.
Where do the answers come from?
Every answer is tied to its source and the approved definition in your metric registry, so nothing is invented.