One use case is live. The next ones need a foundation.
When the data layer isn’t shared, every new use case repeats the same work: new pipelines, new access rules, new monitoring.
- Every new use case starts from scratch
- Legacy warehouses and ETL slow delivery
- Costs grow with each new pipeline
- No shared governance across data domains
Milestones that ship working capability.
We map the next use cases and the data they share, and agree the milestones.
- Use case roadmap and milestones
- Target architecture on your platform
- Migration plan where needed
We extend the lakehouse and ship use cases, milestone by milestone.
- Shared data products and pipelines
- AI-assisted migration of legacy warehouses and ETL
- New agents on the same foundation
Every milestone is tested and documented before it goes live.
- Automated data validation
- Reconciliation for migrations
- Runbooks and handover
Each one ships working capability, not a report.
Every new use case reuses the same data layer.
Open formats, built in your accounts.
Results in production
Questions we hear
Do we need a Production Sprint first?+
Not always. Most clients start with one, so the first use case is live before the platform grows.
Can you migrate our existing warehouse?+
Yes. We use AI to convert legacy SQL and ETL code, which makes migrations much faster, and engineers review every converted model. Reconciliation checks prove the outputs match before each cut-over.
Which platforms do you build on?+
AWS, Snowflake, Databricks, Google Cloud or on-premises, with Claude or open-source models.
Where does it run, and who controls it?+
Everything we build for you is yours: pipelines, data models, infrastructure code and documentation, in your own cloud account and repositories. Our agents and accelerators come with a licence that keeps working even if you stop working with us. If you need full source access, we offer that too.
Grow from one use case to many.
Tell us the use case and the platform you run.