We build the tools your operation actually runs on.

Nearly 17 years of engineering experience, applied directly to your problem. Software for teams that need it to work every day, with particular depth in healthcare.

What we build

Six kinds of work, one way of working.

Listed in the order they usually matter. Understand the problem before proposing a solution, build something maintainable, and hand it over so you own it outright.

Healthcare

Healthcare is where our work goes deepest.

Plenty of firms can build a healthcare organisation a website. Far fewer can tell you what happens between a claim going out and the money arriving, or why the difference between the two matters to your month end.

We build the operational software healthcare organisations run on. That means working inside regulated workflows, with unforgiving file formats, where a silent failure costs somebody money or somebody care.

Claims and billing workflows

Submission, remittance processing, payment posting and denial tracking — as one connected process rather than four disconnected screens.

Data exchange between systems

Moving information between practice management systems, clearinghouses and third-party services in the formats they expect.

Reconciliation

Matching deposits against remittance files, surfacing the variances, and giving somebody a queue to work rather than a spreadsheet to squint at.

Audit trails

Who changed what, when, and what it looked like before. Recorded as a matter of course, not bolted on when somebody asks for it.

Role-based access

People see the records their job requires and no more. Least privilege as the default, applied on the server and not only in the UI.

Operational dashboards

Turning transactional data into something an operations lead can act on this morning, with the numbers traceable back to their source.

AI

AI applied to the work people are doing by hand.

Not a separate product to adopt, and not an adjective. Features built into the software you already run, doing specific jobs, with a person approving anything that matters.

Reading documents

PDFs, scans and attachments turned into structured fields. Anything the software is unsure about goes to a person rather than being guessed.

Classifying and routing

Incoming work sorted and sent to the right queue, with the reason recorded beside it so the decision can be questioned later.

Drafting for review

First drafts of replies and letters, following your templates. A person reviews and approves before anything is sent.

Answers from your own material

Questions answered from your documents and quoted back with a citation, so the answer can be checked rather than believed.

Multi-step agents

The job somebody does by hand across three systems, carried out through those systems' own APIs, with every step logged and reversible.

And when not to

If a rule or a lookup table does the job, that is better engineering — cheaper, faster, and identical every time. We will say so.

How we work

Four steps, in this order.

No discovery, no useful estimate. We would rather find the difficult part in week one than in month four.

  1. Discovery

    We learn the workflow, the constraints and the systems already in place, then write down what we understood so you can correct it.

  2. Design

    Screens, data model and the decisions behind both. You see the shape of the thing before anybody writes production code.

  3. Build

    Working software in small increments, on an environment you can open and use, with a regular point of contact rather than a status report.

  4. Handover

    Source code, documentation, deployment and a walkthrough. You should be able to hire somebody else and have them pick it up.

Engagement models and what we expect of each other

Technology

What we work with.

Chosen because they are dependable and widely known, which means you are never dependent on one firm to maintain what we built. No model vendor is named here on purpose: that is an engineering decision taken per project, and naming one would date this page the moment it changed.

Front end

  • React
  • TypeScript
  • React Native

Server

  • Node
  • Python
  • PHP

Data

  • Postgres
  • MySQL
  • MongoDB

Infra

  • AWS

AI

  • LLM APIs
  • Retrieval-augmented generation
  • Vector databases
  • Function calling and tool use
  • Agent orchestration
  • Evaluation harnesses

Tell us what you are trying to build.

Describe the problem in your own words. If we are not the right firm for it, we will say so.