AI & Data · Trusted Data Platform
One reliable place for all your business data.
We design and build the data layer your analytics and AI depend on — data warehouse, lakehouse, or mesh. Connected to your source systems, updated automatically, governed so people trust the numbers.
What we build
- 01Data warehouse / lakehouse connected to all your source systems.
- 02Data ingestion pipelines: automated, scheduled extraction from CRMs, ERPs, databases, and APIs.
- 03Data modeling: business-logic layer analysts and AI models can trust.
- 04Data quality & governance: validation rules, lineage, ownership, alerting on breaks.
Terms
StartFixed-fee scoping sprint (1–2 weeks)
DeliveryFixed-scope project or managed pod — your choice
StackPostgreSQL, Clickhouse, Databricks, Synapse, dbt — we adapt to yours
HandoverFull documentation and runbooks
Proof
Manufacturing · Delivery
Data lake for a heavy-machinery dealer — analytical request time cut from 5 days to 4 hours.
Annual savings
$360k /yr
FMCG · Delivery
Data mesh on Azure Synapse for a global FMCG enterprise — $550k saved on a $900k integration budget.
IT budget saved
$550k
Automotive · Delivery
Master data system for an auto-parts distributor — 20 years of customer data cleaned.
Saved on data corrections
$130k
FAQ
Common questions.
Warehouse, lakehouse, or mesh — which do we need?
Depends on your data volume, team size, and use cases. We recommend the simplest architecture that solves your actual problem. Usually a warehouse first.
We already have some data infrastructure. Do you start fresh?
No. We audit what exists and build on it where possible. Clean-slate rebuilds are rare and expensive.