We specialise in creating solutions to support biological sciences in three main ways:
Many of our projects process complex, multi-omics, and large biological data sets.
We work with you across the intersection of bioinformatics, data science, image/spectral analysis and ML/AI to create the most informative analytics to progress your projects.
We create streamlined, efficient automated analyses and scalable cloud pipelines. Our solutions work in R&D through to GMP settings.
To facilitate your data flow, we also write hardware interfaces and device drivers to ensure smooth operations and error-free transmission of data from the laboratory into the cloud.
We have a passion for data visualisation and user experience (UX). We find the optimal ways to present complex, combinatorial, contextual information in skimmable and searchable formats that work for your team, e.g. web-front ends, interactive graphics representation, and informative reports.
Our aim is to augment and support your team, through understanding your (scientific) goals and providing technical solutions that your team may not best suited to produce; commonly because of time or skill constraints.
We offer a full architecture and software design service that complies with best practice and industry standards, including ISO 62304, enabling you to focus on your innovation with confidence, within a framework ready for regulatory approval.
Our hybrid in- and out-sourced team has the expertise and flexibility to not only deliver working, resilient code, analytics, and visualisations but to work cooperatively with your wet laboratory and in silico teams.
We believe that automated analytic pipelines work at every stage of the biotech lifecycle: from pure R&D through to deploying in a GMP environment. The benefits to speed of research and production monitoring are clear, but the added control over infrastructure, security, and costs are also significant.