Azure, for teams already living in Microsoft.
Azure is our default when a client's already on Microsoft 365, or when Power BI needs to sit close to the data it's reporting on. Enterprise-grade security, a huge managed-service catalogue, and integration that just works with the tools most finance and ops teams already use every day.
Where Azure earns its place in the stack.
Legacy migration, with minimal disruption
Moving applications and data off ageing infrastructure onto Azure, without the multi-week outage that migrations usually threaten.
Data engineering at enterprise scale
Synapse and Databricks handle the pipelines and warehousing; we design the layer that makes them reliable, not just fast.
AI and predictive analytics
Azure Machine Learning and cognitive services turn a reporting layer into something that can actually forecast, not just describe.
Cloud-native application development
Azure App Services and Kubernetes give us a real platform to build secure, scalable applications on, not just a place to host them.
Enterprise-ready, and genuinely joined-up.
Azure is our go-to whenever a client's operations already run on Microsoft — 365, Power BI, Active Directory, or all three. Building on Azure means the new system talks to what's already there instead of sitting awkwardly beside it.
It's also where we reach for enterprise-grade compliance without extra work. Azure's certifications and identity model cover a lot of the ground that would otherwise be a separate security workstream.
Enterprise-grade security and compliance
Azure's compliance certifications and identity tooling mean the security conversation is largely solved before we've written a line of code.
Power BI, one hop from the data
When Synapse and Power BI live in the same ecosystem, reporting stops being a separate integration project.
Global reach, enterprise reliability
Azure's footprint and SLAs mean we can promise the same uptime whether a client's in London or Lagos.
Familiar to the teams who'll run it
Most enterprise IT teams already know Microsoft's tooling, which means less training and a smoother handover once we've built it.
Already on Microsoft 365? Azure is probably the easy call.
Book a 30-minute working session with a senior engineer — a real conversation about your infrastructure, not a sales call.
Where Azure carried the load.
AI HSE reporting, from a single photo.
Our own product: an AI-powered progressive web app that turns a single photo into a complete observation, incident or hazard report — with a desktop command centre for tracking, investigation and approvals. Works offline and syncs on reconnect.
Frasers Aerospace — Operations Control Tower
An operations dashboard for an AS9120B aerospace supplier, built in Microsoft Lists and Power BI — orders from Sage 200 and WooCommerce in one place, the spreadsheets they used to be raised in retired, the exceptions blocking them surfaced first, and a TV wallboard for the warehouse floor.
A 12-tab spreadsheet, rebuilt as a risk platform
Offshore cable burial risk assessment taken out of a straining Excel workbook and rebuilt as a Python engine and React application on Microsoft Azure — a hundred thousand rows of AIS vessel data, Carbon Trust anchor-strike methodology, and depth-of-lowering curves for every soil zone on a route.
Real-time carbon & compliance reporting for cold chain.
A data management platform built to manage ESG data and deliver ESG insights, analytics and reports to the business and its stakeholders.
Time-critical incident reporting, built for the field.
A realtime incident reporting application built to collect, escalate and report on incident data across the cold chain and construction business.
One whitepaper platform, styled for every client.
A template-driven, multilingual whitepaper platform for Rethink Demand's clients — brandable in minutes, synced to Hermes, and built to capture and track every lead.
What an Azure build usually includes.
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Read moreThe stack we ship on.
Pragmatic, mostly boring, and chosen because it works in production — not because it's on the front page of Hacker News.
Have an outcome in mind?
We'll help you
ship it.
- You're building a data product and need a team that can deliver.
- You want to get AI-ready — pragmatically, not theoretically.
- Your reporting is a mess and you need a real platform underneath it.