Cortex pilots stall when the data isn’t ready.
The agent needs tested data products, clear access rules and evaluation. In many estates, the data still passes through legacy warehouses and ETL first.
- Legacy warehouses and ETL still feeding Snowflake
- Credit spend rising without a use case in production
- Untested models feeding reports and pilots
- Documents and other unstructured data left outside the platform
Built in your Snowflake account.
We build the data products the use case needs with dbt models and tests, and migrate legacy workloads where they hold you back.
- Snowflake architecture and environments
- dbt models and testing standards
- AI-assisted conversion of legacy code
We build the agent on Snowflake Cortex, next to your data and under your access rules.
- Snowflake Cortex, with Claude
- Unstructured documents and retrieval
- Evaluation and human review
We keep it running and keep credit spend under control.
- Monitoring and data-quality checks
- Security, access and cost controls
- Fixes proposed as pull requests
From kickoff to your first use case in production on Snowflake.
Events in a warehouse estate we modernized.
ETL workflows modernized.
Results in production
Questions we hear
Can you migrate us from Redshift or another warehouse?+
Yes. We use AI to convert legacy SQL and ETL code into dbt models, and engineers review every result. Reconciliation checks prove the outputs match before each cut-over.
Does the agent run inside Snowflake?+
Yes. With Snowflake Cortex, your data stays in your account under the access rules you already have.
Can you help control Snowflake costs?+
Yes. Cost controls and monitoring are part of the build, and we keep tuning them if you continue with Managed.
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.
What happens after the Sprint?+
You can run it yourself, extend it with a Build, or have us operate it with Managed.
Put your first use case into production on Snowflake.
Tell us the use case and what you run on Snowflake.