.NET development, for systems built to last.
.NET is our choice when a backend needs to sit comfortably inside an existing Microsoft estate, or when a client's team will own and extend it for years — strongly typed, well-tooled, and backed by an ecosystem built for teams bigger than the one that ships version one.
Where .NET earns its place in the stack.
Enterprise backend systems
Line-of-business applications and internal systems that need to sit comfortably inside a larger org's existing infrastructure and processes.
Microsoft ecosystem integrations
Azure services, SQL Server, and the wider Microsoft stack — .NET is the natural fit when that's already where a client's infrastructure lives.
High-throughput APIs
ASP.NET Core is genuinely fast — one of the better-performing mainstream web frameworks, holding up under real production load.
Systems built for hand-off
When a client's own team will own and extend the code for years, .NET's conventions and tooling make that hand-off far less painful.
Built for the team that inherits it.
.NET isn't our default, but it's the right call more often than its reputation suggests — especially when a client is already running on Azure, already has an in-house .NET team, or needs a system built for a large organisation to own long after we've handed it over.
C#'s type system and the wider Microsoft tooling give real guardrails for bigger teams and longer-lived codebases. We're not choosing it out of habit — we're choosing it because, for that specific shape of problem, it's genuinely the more sensible option.
Deep Azure integration
Azure Functions, App Service, Azure SQL — .NET is a first-class citizen on Azure, with no bridging layer needed to make the pieces talk to each other.
Built for hand-off
Strongly typed, conventionally structured, well-documented — a client's own team can pick up a .NET codebase and actually maintain it, not just read it.
Enterprise-grade tooling
Visual Studio, xUnit, mature debugging and profiling — tooling that scales to larger teams and longer-lived codebases, not just a single developer's laptop.
Performance that holds up
ASP.NET Core benchmarks among the fastest mainstream web frameworks. It's not just fine for enterprise workloads — it's genuinely quick.
Not sure .NET's the right fit? Ask the engineer who'd build it.
Book a 30-minute working session with a senior engineer — a real conversation about your stack, not a sales call.
Built with clients
who measure outcomes.
A single source of truth for prospect intelligence.
A centralised platform to manage the acquisition, cleansing, matching and enrichment of prospect data at scale — replacing fragmented sources and manual scoring with one unified system.
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.
A unified analytics platform from scattered, siloed data.
Built to aid sustainable economic development, Hanse helps businesses identify crucial international trade patterns — winner of Innovate UK funding.
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.
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.
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 a .NET 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.