Services

Most companies run on a mix of products they bought and processes those products do not quite fit. The gap gets filled with spreadsheets, manual steps and workarounds. We write the software that closes the gap: line-of-business applications, customer portals, integrations between systems that were never meant to talk, and the back-end services that keep them consistent.

Our stack is .NET and Azure on the server, React and TypeScript in the browser, and native Swift and Kotlin on iOS and Android. We build with operations in mind from the first sprint, so the system tells you when something is wrong before your customers do.

This site is the portfolio for this service. The opening sequence is a pre-rendered image sequence scrubbed by scroll: the machine is a photoreal still we generated with AI image tooling, the camera move was produced by an AI video model between two locked frames, and the screen corners are tracked in every frame so the text on the glass stays live, indexable HTML. Everything on the page exists without JavaScript, it has a designed reduced-motion version, and it scores 98 or better on Lighthouse for performance, accessibility and search.

We build sites the same way we build software: real content first, then structure, then motion where it earns its place. Web applications get the same attention plus the parts that make them products: authentication, forms that behave, offline tolerance, and integrations to your systems. When the product belongs on a phone, we build the iOS and Android apps too.

We build with AI tooling as a matter of course: Claude Code and Claude Design, OpenAI Codex, and xAI Grok. It is how a clickable prototype exists within a day or two of the first conversation, how changes land as fast as we can talk them through, and how an agreed feature can ship the same day. That experience is what we bring to clients, in three forms.

The first is AI inside your product: assistants, summarization, extraction, search and agents built into an existing platform without rebuilding it, with the evaluation and guardrails that make them dependable. The second is AI inside your development lifecycle: tooling, workflow and review practices that let your team ship faster without lowering the bar. The third is the organization itself: advice, training and hands-on help for teams that want to become AI-driven and do not know where to start.

Real-time communications is where our custom software work started, and it is still the specialty most firms cannot offer. Before Unifinity, we worked at Microsoft on the Azure Communication Services platform itself, the same platform that powers Teams calling. We know how it behaves, where its edges are, and what the documentation leaves out.

For software companies that means adding calling, video, chat or SMS to a product without hiring a telephony team. For enterprises on Teams it means the integration layer that rollouts stall at: Teams Phone, the contact center, the CRM, and the compliance recording that has to go with it. The hard part is rarely the first call. It is the second thousand: carrier behaviour, media quality on bad networks, recording, retries, and what happens when a server restarts mid-call. We design for that from the start.

Real-time systems have a shape that ordinary request-and-response code handles badly: thousands of long-lived things, each with its own state, each changing on its own schedule. Calls, sessions, devices, agents, conversations. Akka.NET models each one as an actor, a small unit that owns its state and talks to others by message. The result is a system that scales out across a cluster, isolates failures, and stays readable as it grows.

We have built production Akka.NET systems for call routing, presence, messaging and telemetry, and we know where the sharp edges are: cluster sharding and rebalancing, persistence and event replay, back-pressure with Akka.Streams, and testing code that is concurrent by design.

A system that touches identity, networking, media, compliance and at least two vendors is expensive to get wrong, because the mistakes show up in production, under load, in front of customers. We write the design down first: the system, the integration plan, the sequence of work and the risks, costed so you know what you are agreeing to.

We also review systems other people have built: for a company deciding whether to buy one, for a team inheriting one, or for a leader who wants a second opinion before committing more budget.