Company Directory

Real-world mental health and dementia data platform for drug development

Akrivia Health is a software company providing a real-world data and AI platform for neuroscience research and drug development. Its dataset of de-identified electronic health records from 6.3 million patients across 20 NHS Trusts covers mental health and dementia conditions, enriched through proprietary natural language processing. Commercial applications include health economics and outcomes research, clinical trial patient recruitment, pharmacovigilance, and drug discovery target identification.

AI-powered rare disease case finding for primary care

Mendelian is a digital health software company developing AI-driven tools to support the earlier diagnosis of rare diseases in primary care. Its core product is a Class 1 regulated medical device that analyses electronic health records to identify patients whose symptom profiles are consistent with published diagnostic criteria for hundreds of rare conditions. The platform integrates with NHS clinical workflows and is used by GPs and primary care networks across the UK.

AI-powered cancer biomarker profiling from tissue images

Panakeia is an AI diagnostics company developing software that predicts molecular biomarker status directly from standard H&E-stained tissue images. Its CE-marked and UKCA-certified breast cancer product reports ER, PR, and HER2 status in minutes, reducing the need for conventional laboratory testing. The platform extends across more than 30 cancer types for research and clinical trial applications, supporting pharma partners in biomarker validation and patient stratification.

AI-powered ultrasound analysis software for endometriosis detection

Revela is a medical software company developing machine learning tools to assist in the diagnosis of endometriosis via analysis of ultrasound scans. The software automatically identifies subtle imaging signs associated with endometriosis and returns a structured report to the reviewing clinician, targeting earlier identification in the diagnostic pathway. The company's technology is trained on retrospectively labelled, surgically validated cases and is designed to integrate into existing clinical imaging workflows without requiring additional procedures.

AI platform for in silico antibody discovery

Antiverse is a Cardiff-based company using machine learning to identify diverse and rare antibody candidates from next-generation sequencing data of naïve and immune repertoires. Its AI-augmented discovery platform analyses NGS data in silico to shortlist effective and developable antibodies, claiming a tenfold improvement in hit rates compared to conventional approaches. The platform is already in use with large pharmaceutical companies and is being expanded to a broader customer base targeting oncology, cardiovascular, and respiratory indications.

AI platform predicting patient response to cancer immunotherapy

Curenetics is a medical technology company developing AI-powered tools to predict cancer patient responses to immunotherapy before treatment begins. Its platform integrates multi-omic genomic data, imaging profiles and clinical information to identify biomarkers of treatment efficacy and toxicity. The company also offers AI-driven clinical trial matching for cancer patients. Founded by practicing NHS oncologist Dr Sola Adeleke, Curenetics collaborates with the University of Pittsburgh, Queen Mary University of London and multiple NHS trusts.

Digital microscope platform for veterinary parasite diagnostics

Techion (UK) is the UK subsidiary of New Zealand-founded Techion Group, developer of an integrated digital diagnostics platform for parasite management in production animals. Its FECPAKG2 system combines a portable digital microscope with cloud-based image analysis and decision support software, enabling on-farm faecal egg count testing without specialist laboratory infrastructure. The platform supports evidence-based anthelmintic prescribing to address wormer resistance, with expanding applications in human and environmental diagnostics.

AI and photonics platform for personalised drug development

iLoF is a digital health company developing an AI-powered platform that uses proprietary photonics technology to generate optical fingerprints from blood samples, building a cloud-based library of biological profiles and biomarkers. The platform enables non-invasive patient stratification and personalised drug matching for clinical and preclinical trials, with an initial focus on Alzheimer's disease. Backed by Microsoft Ventures and Hamamatsu Ventures, iLoF operates from its R&D base at Discovery Park in Kent.

Structural chemistry database and software for drug discovery

The Cambridge Crystallographic Data Centre (CCDC) is a non-profit organisation that curates and distributes the Cambridge Structural Database (CSD), the world's repository of experimentally determined small-molecule organic and metal-organic crystal structures, containing over one million entries. Alongside the database, CCDC develops and licenses a suite of cheminformatics software tools used in pharmaceutical drug discovery, solid form analysis, and molecular design. The organisation also conducts independent research in structural chemistry and offers consultancy services to industrial clients.

AI-powered bioinformatics platform for precision oncology and drug discovery

Rayca Precision develops AI and bioinformatics platforms for precision oncology and drug discovery, using transcriptomic data and deep learning to predict drug responses and stratify cancer patients. The company also provides automated multi-omics analysis for preclinical and clinical research workflows, and works with pharmaceutical and biotech partners to design and deliver customised drug candidate libraries, integrating computational modelling with multi-omics profiling across oncology and immunotherapy programmes.

Bioinformatics data platform for biology teams at scale

Goodwright is a London-based software company developing Flow, a web-based bioinformatics platform enabling biology teams to analyse, store, curate, and share genomics data at scale. Built around Nextflow pipeline integration, Flow provides a user-friendly interface for RNA-seq and other omics workflows, linking analysis execution with structured data management and an open database. Developed in collaboration with Professor Jernej Ule's lab at the Francis Crick Institute, Flow serves both academic and commercial research teams.

AI platform predicting complex crop and livestock traits from RNA-Seq data

TraitSeq is an agri-biotech company providing an AI-based platform that predicts complex phenotypic traits in crops and livestock using RNA sequencing data and bespoke machine learning algorithms. The platform identifies transcriptomic biomarkers and builds predictive models for traits such as yield, disease resistance, and climate resilience, enabling agrochemical, biological input, and gene editing companies to evaluate products earlier and reduce field trial dependency. TraitSeq serves breeders, biotechs, and agrochemical researchers across plant and animal applications.