AI-Ready Data Platform
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Service 02

Lakehouse and governance, in production.

We build the platform on Microsoft Fabric with governance in Purview, leaving the tables open to Databricks. Fixed scope agreed in the assessment, senior architects, delivered into your own tenant.

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What we build

Five layers, delivered together.

01

Source connectivity

ERP, CRM, files and APIs, with managed credentials and no intermediate copies living on laptops.

02

Traceable pipelines

Incremental loads, retries, alerting, and an auditable run history. When something fails, you know what and when.

03

Layered OneLake

Bronze, silver and gold in open Delta tables, a semantic model on top, and the same tables available to Databricks.

04

Governance in Purview

Catalogue, lineage, classification of sensitive data, role-based permissions and retention policies. Configured, not promised for phase two.

05

Consumption and handover

The reports your team actually uses, documentation and training. Afterwards you can run it, your supplier can, or we can.

Fixed scope. Fixed price. No surprise hours.

How we work

Four rules we do not negotiate.

Your tenant, your data

Everything is built inside your subscription. We do not host your platform and we do not resell licences.

Open tables

Delta format, with no proprietary layer in between. If you change engine tomorrow, the data stays where it is.

Governance from day one

Permissions and lineage arrive with the first table. Adding them at the end costs three times as much and is never complete.

An increment every week

Something you can open and use, in your environment. Not a demo at the end of the quarter.

The scope comes out of the Readiness Assessment; from there the price is fixed. If you would rather we run the platform, that is DataOps.

Have a platform to build?

Tell us which systems exist and which decisions it has to support. We will say whether it is ours and what would be needed first.

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