AI & Data

Data platform engineering

Warehouse, pipelines and data quality — the foundation most AI projects discover they are missing.

Typical duration
8–16 weeks
Scope
Fixed and written before you sign
Team
Principal plus 1–2 specialists

Who it is for

Mid-market with messy data.

Everything below is in the scope document, written and priced before anything starts. If something you need is not on this list, say so and it goes in the quote — or we tell you it does not belong in this engagement.

  • Warehouse or lakehouse design on your existing cloud
  • Ingestion and transformation pipelines with tests, not just schedules
  • Data quality checks and lineage, so a wrong number can be traced
  • Access model and PII handling designed for DPDP and GDPR simultaneously
  • Handover documentation your own team can operate from

How every AI & Data engagement runs →

Next step

Thirty minutes on whether this is the right engagement.

If a different service on this list fits better, or if you do not need us at all, that is what the call will conclude.