A compounding problem

Software moves fast. Data Governance does not.

When governance trails engineering, small schema changes compound into business risk. Developer velocity without data governance control is a liability to AI transformation.

Stop cataloging

Reimaging Metadata Management for the AI Era

Woven.dev eliminates manual documentation, governance, and usability bottlenecks and keeps you connected to what your stakeholders need.

Legacy Catalogs

Force you into manual, reactive metadata cleanup — rebuilding trust every time developers ship code and struggling to keep the catalog usable.

A web app view of a data model with missing, stale, and unreliable metadata

Every change becomes a fire drill. Insufficient for humans, unusable for AI.

Multiple urgent messages from data consumers

Woven.dev

Gives data teams AI-ready metadata without the manual work — by capturing it at the source, from the engineers who create the data.

A view of a GitHub Pull Request with data governance checks marked as Passing

Full visibility into code changes, plus the tools to automate policies, workflows, and stakeholder delivery.

A view of recent PRs that changed an application schema next to a Slack chat with Woven AI

Find, fix, and prevent data issues before merge

Fix issues in a PR, no meetings required
Clear, codified expectations in code
Instant feedback in checks

Metadata files update in the same PR as schema changes

Edit metadata directly in the PR
Own the artifact, not a ticket
No extra tools to remember

Replication, masking, retention, and dbt all run automatically

Self-service DevX with no tickets
One file, in code, predictable outcomes
Status pings on completion

Privacy

Federated, shift-left privacy compliance

Define and evaluate data privacy policies as part of CI so engineers can find, fix, and prevent privacy non-compliance risks prior to code being deployed.

Security

Metadata-driven access control & data masking

Automate sensitivity classification, data masking, and access controls workflows to keep data safe whenever a schema changes.

Analytics

Automated replication, transformations, & tests

Accelerate time-to-value by auto-updating your dbt analytics layer, complete with documentation and tests, whenever an upstream table changes.

GenAI

Deploy agentic workflows on internal data

Get to "AI-ready" data by design, with trust, privacy, and security powered by your enterprise's context-rich metadata graph.

Security & safety

Enterprise-level security with SOC 2 Type II certification

All code analysis runs within your CI/CD, ensuring full control
Only metadata is stored — no sensitive business data
"Bring Your Own Key" ensures maximum security for AI enrichment
Metadata is stored as code, preventing vendor lock-in

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FAQs

Ready to see Woven in action?

Schedule a personalized demo with Woven's co-founders.

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The automation Copilot for Data Engineers

Govern Data Changes

Code-Sync Metadata

Automate DataOps