What we actually do
Greenfield Snowflake builds for small and medium businesses. Each one is a fixed-scope piece of work with a named deliverable, not an open-ended retainer.
Ask your data questions in two weeks
By the end of week two your team can ask questions in plain English and get answers, charts and reports back, through Snowflake CoWork, on your own governed data.
- Live on your first one or two sources by the end of week two
- Answers follow the roles and access policies already in your account, so people only see what they are allowed to
- Runs inside Snowflake, under the same security and governance as everything else
- Charts and reports saved as artifacts your team can reopen and share
Lakehouse foundations
The Snowflake account you would have built if you had done it twice before.
- Account topology, databases, schemas and naming that survives the second team joining
- Role hierarchy and access model, network policy and SSO
- Warehouse sizing, auto-suspend and resource monitors with alerting
- Git-backed deployment: dev, test and prod, promoted by pipeline
Typical shape: 2–3 weeks, platform ready with one or two sources ingested.
Data engineering
Pipelines that hold up when the source system changes on a Friday.
- Ingestion: Snowpipe, Streams and Tasks, or your existing loader left in place
- Modelling in dbt — staging, marts, tests and generated documentation
- Snowpark for the transformations SQL should not be doing
- Freshness and volume monitoring, with alerts that reach a human
AI and Cortex
AI on your own data, inside your own account, with an evaluation you can defend.
- Retrieval over documents and tables with Cortex Search
- Summarisation, classification and extraction as SQL functions
- Forecasting and anomaly detection on existing time series
- An eval set and a cost model before anything reaches production
Governance, cost and the apps on top
Governance
Horizon policies, dynamic masking, row access, tagging and lineage — designed with whoever has to sign the audit off.
Cost control
Warehouse right-sizing, query profiling, clustering where it earns its keep, and a monthly report your CFO can read.
Data apps
Streamlit in Snowflake for internal tools, Native Apps where the data product ships to someone else's account.
Ready to put AI to work?
Start with a governed Snowflake platform in two to three weeks, then build AI on data you can trust. Tell us where you want to start.