Services

Innovative life science instruments and software platforms rarely operate in isolation. Whether you need your device to communicate with a LIMS, connect to a cloud analytics pipeline, or integrate with third-party data systems, a well-designed API makes this possible. We design and build APIs that are robust, secure, and built to accommodate the data volumes and validation requirements that life science applications demand.

Getting from a benchtop scale to a working software product is one of the hardest transitions a founder faces. Moving too slowly means losing ground to competitors or missing a funding window; moving too quickly without validating assumptions means costly rework. Our MVP and prototyping service is designed to help you find that balance: developing a focused, functional version of your product quickly enough to test with real users and generate genuine evidence, without committing to a full build before you’re ready. Many of our clients use prototypes to support investor conversations, regulatory pre-submissions, or pilot studies, and we’re always here to support you through that process.

Controlling scientific instruments utilising custom software demands a deep understanding of hardware communication protocols, real-time performance requirements, and the tolerance for failure that life science and medical device contexts demand. As specialists in custom instrument control software for biotech instruments, our team have extensive experience building bioinstrumentation software across a wide range of platforms, from laboratory benchtop devices and automated systems to embedded and IoT hardware.
We understand that instrument control software often forms the backbone of your product with instability or unreliability directly impacting research output or patient care. Our capabilities extend to AI in biotechnology instrumentation software, enabling smarter real-time data acquisition and processing for scientific instruments, as well as the kind of rigorous testing and validation that regulated environments require.

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For many founders, the hardest question isn’t whether software is a requirement, it’s knowing what to build, the project order, and a structure that won’t become an expensive constraint. Our Digital Blueprint service is designed to answer those questions before a line of code is written. Working closely with you and your team, we develop a clear, actionable software architecture and product roadmap that reflects both your immediate priorities and your longer-term goals. We often cover how to build compliant software for medical devices, integration requirements, technology choices, and phased delivery milestones.
The output is a practical document to guide development. A well-structured Digital Blueprint also demonstrates to investors and boards that your software strategy is credible, costed and de-risked.

Data integrity is not optional. Whether you are collecting output from an analytical instrument, processing clinical samples, or managing a bioprocessing run, the pipelines that move your data from source to storage and analysis must be designed with security, traceability and validation in mind. Retrofitting these properties is expensive and often impractical ,which is why this is a cornerstone of the way we work from the start.
Our engineers specialise in GxP-compliant software development, designing data pipelines that meet the requirements of GxP-compliant life sciences software development services and GxP-compliant cloud environments, as well as IEC 62304-compliant medical device software development where applicable. We build architectures capable of handling scalable pipelines for genomics and proteomics data, clinical data management, and multi-site instrument networks to name a few, ensuring every data flow is auditable, secure, and fit for regulatory scrutiny throughout its lifecycle.

Detecting a biomarker, classifying an image, identifying a peak in a chromatogram all depend on algorithms that are not only mathematically sound but engineered to perform reliably under the messy conditions of real scientific data. Designing algorithms at the heart of many life science products requires both computational expertise and domain knowledge: an understanding of what the data actually represents and what kinds of noise, variability and edge cases it will contain.
Firefinch has a team with unusual depth in this area, including engineers with postdoctoral research backgrounds in molecular biology, physics, metabolomics, and directors with published research in signal processing and image analysis. Our work spans AI-powered analysis of data from lab instruments to explainable AI for medical and scientific software, ensuring that the algorithms we build are not only scientifically credible and computationally efficient, but transparent and interpretable in the way that regulated environments demand.

The gap between a promising proof-of-concept and a production ready system that performs reliably, transparently and in compliance with regulatory requirements is significant, and it’s a gap that many specialist artificial intelligence firms are not equipped to bridge in a life science context.
At Firefinch, we are specialists in AI in life sciences software development, combining machine learning expertise with deep domain knowledge to deliver AI-driven life sciences software solutions across the UK and EU. Our previous projects have encompassed explainable AI for medical and scientific software, generative AI in biotech, domain-specific LLMs for pharma and biotech, and AI for writing validation and compliance documentation in life sciences. We support clients on the responsible use of generative AI when developing regulated software as well as identifying where it genuinely adds value and where this might be surplus to requirements.

For many life science applications such as instrument control interfaces, data acquisition systems or offline analysis tools desktop applications remain the appropriate path. Desktop software offers low-latency performance, direct hardware integration, and the ability to function reliably in laboratory environments where network connectivity may be limited or security requirements preclude cloud connectivity. Getting this balance right requires both strong engineering and a careful approach to UX.
Our team has extensive experience in software development for medical devices and other regulated life science applications on Windows and Linux, using frameworks including WPF, Avalonia and C++. We build software for medical devices to the standards required by IEC 62304-compliant medical device software development, and design interfaces that are intuitive under real conditions, engineered to the stability and performance standards that regulated environments require.

Web applications offer life science companies a powerful way to put sophisticated software capabilities in the hands of users without the friction of installation, updates or device-specific compatibility. Whether you need a data visualisation dashboard for your instrument, a cloud-based LIMS module, a portal for clinical trial participants, or a full-featured analytical platform, a well built web application can deliver a seamless experience across devices.
Our full-stack web development capability spans modern front end frameworks (including React and Angular) through to robust backend APIs and cloud infrastructure, making us well equipped at delivering custom software for this purpose. From digital health platforms to connected instrument interfaces and cloud based life sciences software development, we place a strong emphasis on UX: many of our engineers have specific expertise in user-centred design, and we work iteratively with clients and end users to ensure that the interfaces we build are not just functional but elegantly designed to support users.

Cloud infrastructure has become the foundation of many software modules through facilitating scalable data storage, multi-site access, integration with analytical services, and the redundancy and disaster recovery that critical applications require. We are specialists in cloud based life sciences software development across both AWS and Azure, with extensive experience designing architectures for life science and medical device environments where compliance and data integrity are non-negotiable.
Our expertise spans GxP-compliant cloud environments, cloud based platforms for connected medical devices, and cloud-native bioinformatics and multi-omics data platforms. Whether you need a straightforward cloud hosted application, a hybrid on-premise/cloud architecture for a connected instrument, or a sophisticated multi-tenant platform serving customers across multiple regions, we design and build cloud infrastructure that is secure, scalable and compliant.