Consulting

End-to-end Microsoft data & AI solutions, built for your team to own.

We build modern data platforms, put the strategy and governance around them, and bring AI into your daily work — on the Microsoft stack, with knowledge transfer built in, so you never depend on us.

Modern data architecture

Lakehouse platforms, reliable pipelines and semantic models — from ingestion to the dashboards your business runs on.

Data strategy & governance

Assessment, roadmap and governance that make data a trusted, secure and well-owned asset.

AI & agents

From Copilot adoption to custom agents, intelligent automation and machine learning in production.

Explore our services

A data platform built to scale.

We design and build modern lakehouse platforms on Microsoft Fabric and Azure Databricks — reliable pipelines, clean data and semantic models, from ingestion to the dashboards your business runs on.

  • Lakehouse & Warehouse ArchitectureMedallion design on Microsoft Fabric and Azure Databricks
  • Ingestion & OrchestrationPipelines, Dataflows Gen2, Azure Data Factory, and Lakeflow Jobs
  • TransformationSpark, SQL, and dbt with tested, versioned logic
  • Real-Time DataStreaming ingestion and real-time analytics
  • Semantic Models & BIStar schemas, DAX, Direct Lake, and Power BI reports
  • Performance at ScaleOptimized pipelines, models, and capacity
  • Cloud MigrationFrom on-premises SQL Server or Azure Synapse to Microsoft Fabric
  • DevOps & CI/CDGit integration, deployment pipelines, and environments

How we work

From first workshop to full ownership.

Assess & design

We start from your goals and your data, not from a product catalogue.

  • Discovery workshops
  • Target architecture
  • Prioritized roadmap

Build & deliver

End-to-end delivery, from the data platform to dashboards, apps and agents.

  • Iterative delivery
  • Tested, versioned code
  • Deployment & monitoring

Enable & hand over

Your team owns the solution — no black boxes, no lock-in.

  • Documentation
  • Training on the job
  • Ongoing support when you need it

Let's talk about your data.

Tell us your goals and current stack — we'll propose the right architecture and a roadmap to get there.