Built on Databricks, governed with Unity Catalog
Sancire works only on Databricks. That focus lets us go deep on the parts that decide whether a platform can be trusted: ownership, access, lineage and the evidence behind every AI decision.
Titan Technology Corporation is a Databricks Partner. Databricks is a trademark of Databricks, Inc.
Governance as a layer, not a project
Every engagement lands on the same layered model, so each new use case inherits the controls of the one before it.
| Layer | What it answers | On Databricks |
|---|---|---|
| Identity and access | Who can see what, and why | Unity Catalog grants, groups, row filters, column masks |
| Ownership and classification | Who is accountable for this data | Catalog and schema owners, tags |
| Lineage | Where a number came from | Unity Catalog lineage |
| Audit | Who did what, and when | system.access.audit |
| Pipelines | Is the data fresh and correct | Lakeflow, expectations |
| AI evaluation | Is the model good enough, and still good | MLflow evaluation, judges, tracing |
| AI controls | What the agent may do, and who approves | AI Gateway, Unity Catalog functions, Lakebase |
| Cost | What each team and use case costs | system.billing.usage, tags, budgets |
Moving to Databricks
Migrations start with a scan of your current estate using Lakebridge, Databricks’ migration tooling, and end with every table reconciled against the source. Modernize services
Already on Databricks
A readiness review scores your workspaces on governance, lineage, reproducibility and cost, with effort and impact for every gap. Start here
Databricks account teams
We register opportunities through the Databricks partner program and work alongside your account team. Ask us whether your project is eligible for Databricks partner programs.
Talk to us about your Databricks platform
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