AI for Data Engineers

Data change delivery for modern data teams

Woven takes on the continuous data upkeep created by constant product and business change — so your team can focus on stakeholder impact instead of invisible maintenance.

Works with GitHub, dbt, Snowflake, and Slack. No workflow changes required.

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Upstream

Products ship. Schemas drift.

Every feature introduces schema changes that ripple downstream. Field meanings shift. New entities appear. Breaking changes hide in routine PRs — owned by teams who don't see the downstream impact.

Downstream

Business evolves. Usage shifts.

Stakeholders ask new questions through ad-hoc queries, not formal requests. Emerging patterns live in Snowflake logs, not roadmaps. Intent is implicit, scattered, and invisible to data teams.

As change velocity increases, this manual loop slows decision-making, increases fragility and compliance exposure, and prevents leverage from compounding.

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See an example

- Trigger workflows based on Application schema signals
  Handles continuous product-driven schema change by resolving semantic meaning at the source and preparing review-ready downstream data engineering work.
- Trigger workflows based on Analytics usage signals
  Watches how the business is actually using data and prepares review-ready analytics model evolutions that amplify decision-making value.

Or watch a demo

Let’s design the future of data engineering together.

Hire Woven to absorb continuous data change without adding headcount or operational load — so data stays aligned as the product and business evolves.

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AI for Data Engineers

Data change delivery for modern data teams

Problem

Development is accelerating. The delivery loop isn’t.

Tools like Cursor accelerate writing dbt, but that’s not the bottleneck. The bottleneck is the continuous work of noticing change across systems, understanding intent, prioritizing what matters, and coordinating delivery across tooling and stakeholders.

Products ship. Schemas drift.

Business evolves. Usage shifts.

As change velocity increases, this manual loop slows decision-making, increases fragility and compliance exposure, and prevents leverage from compounding.

Solution

Woven runs the delivery loop on autopilot

Woven is the always-on, reviewable automation that keeps data delivery in sync with change. It handles the follow-up created by product and business change — surfacing urgent issues immediately and batching the rest into review-ready work.

How it works

Signal → Analysis → Plan → PR → Propagate

Woven continuously identifies, prioritizes, and prepares the data engineering work created by upstream schema change and downstream usage change. No tickets or manual triage.

See an example

Or watch a demo

Let’s design the future of data engineering together.