Work
We would rather rule things out than sell you all of them.
Five practice areas. Most clients need one or two, and the honest answer is often that the third is not worth doing yet.
01
Advisory
Where AI is worth the effort, and where it isn't.
- Claude
- Databricks
- Snowflake
- dbt
- Python
02
Building
Assistants, automations, and internal tools that hold up in production.
- Claude
- Model Context Protocol
- TypeScript
- Python
- Postgres
- AWS
03
Data foundations
Warehouses, pipelines, and models — the part everyone skips.
- Databricks
- Snowflake
- dbt
- Airflow
- Python
- SQL
04
Staying with it
Monitoring, tuning, and support after launch.
- Evaluation harness
- Tracing
- Plausible
- Your cloud account
Not sure which one you need?
That is what the assessment is for. Describe the problem and we will tell you which practice it belongs to — or that it belongs to none of them.