Custom software development for medtech and digital health companies.

We build purpose-built web applications, data platforms, and clinical workflow tools — designed from the start for the regulatory, security, and auditability requirements of the healthcare environment.

What is custom software development for medtech?

Custom software development for medtech is the discipline of designing, building, and deploying software systems that meet the specific operational and regulatory needs of healthcare and medical device companies. Off-the-shelf software rarely fits the workflow of a clinical operations team, a wearable device company managing multi-site trial data, or a medical device manufacturer tracking algorithm versions across regulatory submissions. Custom software fills these gaps: purpose-built web applications, data management platforms, and API integrations that connect device data pipelines to clinical workflows. Unlike consumer software development, custom medtech software must account for data governance, audit trails, access control, and in some cases IEC 62304 software lifecycle requirements when the software is part of a regulated medical device. Devsort has built custom software for clinical operations, including the Nova CRM system — a purpose-built client relationship and workflow management platform developed for a healthcare company.

How does software development for medtech differ from standard projects?

Standard software development optimises for speed and user adoption. Medtech software development has additional constraints: the system may touch regulated data, interact with clinical workflows, or form part of a device's software ecosystem that is subject to FDA or CE scrutiny. Even software that is not itself a medical device — a trial management dashboard, a device fleet monitoring tool, a patient data portal — must be built with the security, auditability, and reliability expectations of the clinical environment it operates in.

This changes the engineering approach. Data models must support audit logging from the start, not as an afterthought. Access control must be role-based and documented. APIs that touch device data must handle missing, malformed, and out-of-sequence inputs without silent failures. Devsort builds these requirements into the architecture from day one rather than retrofitting them after the fact.

Our background in clinical algorithm validation means we understand what the downstream consumers of custom software — device teams, regulatory affairs teams, data scientists — actually need from a software system, not just what they ask for in a requirements document.

What does a custom software engagement look like?

  1. 1

    Discovery and specification

    We begin by mapping the workflow the software must support, the systems it must integrate with, and the regulatory or compliance constraints it operates under. We produce a written specification — not a wireframe deck — that defines the data model, API surface, access control requirements, and the acceptance criteria for each feature. This document is the contract the build is measured against.

  2. 2

    Iterative build with visible progress

    We build in short cycles with working software at the end of each. You can see and test the system as it is built, not only at the end. Each cycle closes with a review against the specification. Changes to scope are captured in writing before they are built — scope creep is the primary cause of medtech software projects failing to deliver on time.

  3. 3

    Test and validate

    Every feature is tested against its acceptance criteria before handover. For systems with IEC 62304 requirements, we produce the test records and traceability documentation needed for a software lifecycle submission. For internal tools without regulatory requirements, we deliver a test summary and any automated test suite we have built during development.

  4. 4

    Deploy and hand over

    We support deployment to your infrastructure — cloud, on-premise, or hybrid — and produce the operational documentation your team needs to run the system. We do not disappear at go-live. We are available for bug fixes and follow-on scoping during the stabilisation period after launch.

Nova CRM: custom software for a healthcare company

Devsort designed and built the Nova CRM system for a healthcare client — a purpose-built client relationship and workflow management platform that replaced a patchwork of spreadsheets and generic tools the operations team had been using to manage clinical client relationships.

The system included role-based access for clinical, sales, and management users; a client lifecycle tracking module with configurable stage gates; a document management layer for clinical agreements and compliance records; and a reporting dashboard giving management visibility into pipeline and operational metrics.

The build was scoped, specified, and delivered iteratively over a five-month engagement, with the operations team involved in every review cycle. The system went live on schedule and has been in continuous use since deployment.

See our data science services

Frequently asked questions

What technology stack do you use for custom software projects?

We build primarily with Python (FastAPI, Django) on the backend and TypeScript (Next.js, React) on the frontend. For data-heavy applications we work with PostgreSQL, and for device data ingestion pipelines we use cloud-native queue and stream processing services (AWS SQS, GCP Pub/Sub). We choose the stack based on the client's existing infrastructure and the system's performance requirements, not on our technology preferences. We do not use frameworks or languages we cannot support in production.

Can you build software that integrates with wearable device data pipelines?

Yes — integrating clinical software with device data pipelines is a specific strength. We understand the data format and signal characteristics of common wearable platforms (Empatica, Apple Watch, ActiGraph, Samsung) and we have built preprocessing and ingestion layers that normalise raw device output into structured formats that application databases and clinical dashboards can consume. See our wearable data science service for the full picture of what we do on the data pipeline side.

Do you work on IEC 62304 regulated software projects?

Yes. IEC 62304 defines the software lifecycle requirements for medical device software, covering planning, requirements, architecture, detailed design, implementation, verification, and maintenance. We have experience producing the documentation artefacts — software requirements specification, software architecture document, unit and integration test records, and traceability matrix — that a regulatory submission requires. We work alongside your regulatory affairs team rather than replacing them.

What is the minimum engagement size you take on?

We engage on projects with a minimum three-month build phase. Anything shorter does not allow enough time for proper discovery, specification, and delivery. We do not take on small ad-hoc feature requests or hourly support arrangements. Our engagement model is project-based: defined scope, defined deliverables, defined timeline.

Who owns the code and IP after the project?

The client owns all code, documentation, and intellectual property produced during the engagement. We retain no rights to the software we build for you. We work under a standard services agreement with an IP assignment clause. We also work under NDA before reviewing any existing codebase or proprietary system documentation.

Have a software project in mind?

Describe the workflow you need to support and the systems it needs to connect to. We will scope the build and tell you what is realistic within your timeline.

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