Our full range of services.
Select any practice area below to view the full scope of services within it. Each category represents a distinct discipline - from data platform engineering and machine learning through to reporting and intelligent process automation. Most engagements begin with the foundation, because that is what makes everything above it - including AI - dependable.
We design and build your Fabric lakehouse from the ground up - ingestion layers, Delta tables, and a medallion architecture that scales without accumulating technical debt.
For data-mature organisations building a modern analytics platform from scratch or replacing a legacy warehouse.
Automated ingestion from any source - ERP, CRM, flat files, or APIs. Pipelines that run reliably on schedule and surface alerts the moment something breaks.
For businesses whose data still moves by manual export, overnight FTP, or someone copying files between folders.
A structured, query-optimised warehouse for your most demanding reporting workloads - clean data, fast query performance, and access controls baked in from day one.
For organisations with complex reporting needs that a lakehouse alone cannot serve efficiently.
Stream and interrogate data as it arrives using Fabric Eventstream and KQL databases. The right choice for transactional monitoring and dashboards that can't wait for a scheduled refresh.
For operations and logistics teams who need to react to what's happening now, not what happened last night.
Moving off Azure Synapse or an older ADF setup? We plan and execute the migration to Microsoft Fabric with minimal business disruption and a clear cut-over strategy.
For teams already on Azure Synapse or older ADF pipelines who want to consolidate onto the modern Fabric platform.
Workspace management, sensitivity labels, row-level security, and data governance frameworks so your platform stays compliant and your data stays in the right hands.
For growing teams where data access has become ad hoc and nobody is quite sure who can see what.
We design and build your Databricks lakehouse on open Delta Lake - medallion layers, governed with Unity Catalog, and structured so reporting, analytics, and AI all run off the same trusted foundation.
For organisations that want an open, flexible data platform without being tied to a single vendor's format.
Custom pipelines and advanced Spark workloads for data that is too large, too complex, or too fast-moving for standard tooling - built, orchestrated, and monitored in Databricks.
For businesses with heavy transformation workloads or data volumes that have outgrown their current pipelines.
From feature engineering to model deployment and monitoring - machine learning that runs in production, not just in a notebook. MLflow tracking, versioning, and observability built in from day one.
For teams ready to move from reporting on what happened to predicting what happens next.
A governed SQL warehouse layer on top of your lakehouse - fast, familiar SQL for your analysts and a reliable serving layer for the Power BI reports that sit on top.
For analyst teams who want warehouse performance without maintaining a separate warehouse.
The lineage, quality controls, and governed data products that production AI depends on - so AI agents, predictive models, and GenAI use cases are built on trusted data, not on hope.
For organisations that want to be AI-ready without having to rebuild their data foundation later.
Workspace architecture, Unity Catalog setup, and migration from legacy warehouses or fragmented data platforms onto Databricks - planned and executed with a clear cut-over strategy.
For teams consolidating a scattered data estate onto one governed, scalable platform.
Clear, high-level views of the metrics that matter most - revenue, performance, and operational health. Designed to be opened every Monday and trusted every time.
For leadership teams who need a reliable weekly view without waiting for someone to build a slide deck.
Detailed, filterable reports for the teams that live inside the data - finance, logistics, sales, operations. Connected to your systems, drillable to the transaction level.
For finance, ops, and logistics teams spending hours each week in Excel trying to answer questions the data should answer automatically.
A semantic model built to last - proper star schema, clean relationships, and DAX measures that are fast, readable, and maintainable as your business evolves.
For organisations whose reports are slow, inconsistent, or break every time something changes upstream.
Moving off SSRS, legacy Excel models, or another BI tool? We rebuild your reporting estate in Power BI - cleaner architecture, better performance, easier to own.
For teams still running SSRS or dozens of Excel-based reports that nobody fully understands anymore.
Bring Power BI directly into your own products and client-facing portals. Your end-users get the insight they need without ever having to log in to Power BI Service.
For software companies and consultancies that want to offer clients data insight inside their own product.
A fixed monthly commitment for new reports, amendments, troubleshooting, and user training. Your Power BI environment keeps moving forward without you having to manage it.
For teams who have Power BI in place but lack the in-house resource to keep it growing and accurate.
Approval routing, notifications, data synchronisation, and form processing - automated using Power Automate cloud flows across your Microsoft 365 environment and beyond.
For teams drowning in manual approval chains, email-based handoffs, and processes that only work when one person is in the office.
Custom Power Apps and SharePoint solutions that give scattered spreadsheet-and-email workflows a proper digital home - structured, trackable, and easy to audit.
For operations managers who have outgrown shared spreadsheets and email threads as a way of managing work.
Automated data movement between your platforms - ERP to warehouse, CRM to reporting layer, API feeds into structured tables. No more manual exports or overnight CSV drops.
For businesses whose data team spends more time moving data than analysing it.
Intelligent document processing, invoice data extraction, and Copilot-powered workflows using AI Builder - add a layer of intelligence to your automation without building models from scratch.
For finance and ops teams processing high volumes of invoices, forms, or documents that currently require manual reading and re-keying.
Month-end packs, scheduled report distributions, and data exports that run without anyone pressing a button. The right numbers in the right inbox at the right time.
For finance teams who spend the last few days of every month chasing numbers and manually building the same pack they built last month.
We map your current workflow, locate the bottlenecks costing the most time, and design the simplest possible fix before writing a single line of code.
For teams who know something is inefficient but aren't sure where to start or what a realistic fix would look like.
Not sure which service fits your situation?
Book a free call and we will help you work it out together.