Advancing Life Science Through Computational Innovation.
Software development, computational research, and contract R&D for the life sciences
Our work spans three areas: building analytical software, conducting original computational studies, and working with external research groups on defined scientific problems.
Software & Platforms
We develop analysis pipelines and software tools for biological data: multi-omics, molecular simulation, and clinical datasets. Both internal platforms are available to external users.
- Bioinformatics pipelines and workflow automation
- Molecular property prediction models
- Data curation and integration systems
Computational Research
We carry out original studies in drug-target interaction, neural data analysis, and genomics. Research outputs include preprints, peer-reviewed publications, and annotated datasets.
- Target identification and binding affinity studies
- Neural phenotyping and circuit modelling
- Variant analysis, GWAS, and multi-omics
Contract R&D
We work with pharmaceutical companies, biotech firms, and academic groups on scoped research problems. Arrangements include contract studies, collaborative analysis, and dataset agreements.
- Defined-scope contract research
- Co-authorship eligible collaborations
- Dataset and model licensing
Two analytical tools for biological data, available to external research groups
Both platforms are developed internally and can be accessed under academic or commercial terms. Contact us to discuss access arrangements.
Research Decode
A research ecosystem connecting researchers, domain experts, scientific services and resources - bringing the infrastructure of scientific collaboration into one platform.
- Variant annotation, pathway enrichment, and differential expression
- Cross-modal dataset integration and normalisation
- Reproducible pipeline execution with full audit logs
NeuroSignature
A machine learning platform for neural data analysis. Processes EEG, fMRI, and molecular inputs to derive quantitative measures used in neurological subtype classification and drug response studies.
- Signal feature extraction from electrophysiological and imaging data
- Neurological subtype classification using supervised models
- Biomarker identification for drug response research
Six areas of computational biology and data science
Our research spans molecular simulation, neurological data analysis, genomics, machine learning, clinical data science, and infrastructure engineering.
Structure-based drug discovery: target to lead
Our computational drug discovery pipeline runs from target characterisation through to ranked lead compounds, with each stage producing documented, reproducible outputs.
Research groups and organisations we work with
Pharmaceutical
Computational support for early-stage drug discovery: target characterisation, virtual compound screening, and ADMET profiling to reduce experimental iteration before wet-lab work begins.
02Biotechnology
Analysis services for biotech companies working on genomics, protein engineering, or biomarker identification. We can operate on your existing datasets or collaborate on study design.
03Healthcare & Clinical
Statistical analysis of clinical datasets, EHR mining, and development of prediction models for health systems and clinical research organisations. Output includes model documentation and validation reports.
04Academic Research
We collaborate with university groups and public research institutes under academic terms. Arrangements may include co-authorship, platform access, and shared data agreements.
How we work
A structured, transparent process from first contact to final deliverable.
Scope and deliverables are agreed per project. Submit a project brief to start the conversation.
Have a research or technology challenge?
Tell us about your scientific question, dataset, or software requirements. We will review the project details and discuss an appropriate approach.