Built on strategic alliances
We partner with the platforms that define modern enterprise data — and go deep enough in each to deliver production outcomes, not integrations on paper.
Partnerships, not logos
Our practice is built around a small number of platforms rather than spread thinly across many. That focus is what these partnerships formalise — and what lets us commit to architectures other firms hedge on.
Databricks
Certified implementation partner
We implement the Databricks Data Intelligence Platform end to end — lakehouse architecture on Delta Lake, pipeline orchestration through Delta Live Tables, governance via Unity Catalog, and model lifecycle management with MLflow.
What differentiates our delivery is where we run it. Most Databricks partners are cloud-agnostic and treat Azure as one deployment target among three. We build exclusively on the Microsoft estate, which means Unity Catalog is federated into Purview from day one, identity flows through Entra ID rather than a parallel user directory, and Power BI sits on Direct Lake instead of an extracted copy. The platform lands inside your existing governance model, not alongside it.
Fivetran
Certified delivery partner
Fivetran handles the part of a data platform that quietly consumes the most engineering time: getting source data in, and keeping it there when schemas change underneath you. We deploy it as the managed ingestion layer feeding Delta Lake, with connectors covering SAP, Salesforce, Dynamics 365, Oracle, SQL Server, and several hundred more.
The engineering argument is straightforward. Hand-built connectors are cheap to write and expensive to own — every upstream schema change becomes a support ticket. Fivetran absorbs that maintenance, and HVR handles log-based change data capture from on-premises databases where full reloads are not viable. Your team spends its time on modelling and governance instead of babysitting extraction jobs.
Where the platform meets the Microsoft stack
Most enterprises running Databricks are already standardised on Microsoft. The value is in the seams between them — and that is the specific ground we work on.
Azure Databricks
Databricks delivered as a first-party Azure service — provisioned inside your subscription, governed by your policies, billed through your existing Azure agreement.
Microsoft Fabric & Power BI
Direct Lake semantic models and OneLake shortcuts over Databricks tables, so business users query governed lakehouse data without a separate copy.
Purview & Entra ID
Unity Catalog federated into Microsoft Purview for one governance plane, with Entra ID single sign-on and conditional access enforced across every workspace.
Technologies we work with
Beyond the core platforms, these are tools we deploy regularly where they fit the engagement. We recommend them on merit, not because a commercial relationship requires it.
dbt Labs
Transformation layer
We build transformation logic in dbt where teams want version-controlled, testable SQL with lineage that carries through into Unity Catalog. It suits organisations with existing analytics engineering practice, or those who want modelling to stay readable to analysts rather than locked inside notebooks.
OpenAI
GenAI & LLM workloads
For GenAI workloads we deploy OpenAI models through Azure OpenAI Service, keeping inference inside your Azure tenancy and subject to the same network, identity, and data-residency controls as the rest of your estate. Typical use: RAG over governed lakehouse data, and document extraction pipelines.
Put the partnerships to work
Start with a complimentary architecture assessment — we'll map your current estate against the platform and propose a concrete path forward.