Data and AI on Databricks — built to be governed.
We move your data onto Databricks, set up governance from the first day, and take your analytics and AI use cases into production — with the lineage, access control and evidence your risk team will ask for.
- Titan Technology Corporation
- Databricks Partner
- ISO/IEC 27001:2022
- Since 2013
Migrated first. Governed later.
Most data platforms are moved first and governed later. Later rarely comes. Then the first audit, the first AI project or the first cost review finds out: nobody can say who owns a table, where a number came from, or who approved the model that used it.
We do it in the other order. Ownership, access, lineage and cost attribution are part of the build, so the platform is ready for production and for the questions that follow it.
Five stages, each with a fixed scope
Most clients begin at the first stage and move right. You can begin wherever you already are.
Start
See it working on your own data before you commit a budget.
- Discovery Workshop
- Migration Scan
- Governed Pilot
- Data & AI Readiness Review
Modernize
Move onto Databricks without breaking the reports people use.
- Migration
- Lakehouse Foundation
Govern
Owners, access rules, lineage and evidence for every table.
- Unity Catalog Governance
- Compliance Evidence
Build
One analytics or AI use case live, with real users.
- Analytics Use Case Sprint
- AI & Agents to Production
Run
A platform someone answers for, month after month.
- Platform Operations
- Evidence Refresh
Published starting prices
Every service has a scope, a timeline and a starting price on this site. Data leaders buy outcomes, not hours.
Evidence at every milestone
Reconciliation records for migrations, lineage for pipelines, evaluation results for AI. You can check the work, not just the status report.
Your data stays in your account
We work inside your Databricks workspace and your cloud account. Your data does not need to leave it.
Talk to us
Tell us what you are working on. A named person replies within one business day.