Services
We provide a range computational biology and AI research services for teams at every stage — from early-stage discovery to investor-ready data packages and team upskilling.
Pillar 1: Strategic Consulting
We work with scientific leadership to define and refine computational approaches to drug discovery and translational research. Our consulting engagements are designed to help you make better decisions earlier — reducing risk and accelerating timelines. Key areas in which we have successfully helped clients include: target prioritisation and validation strategy, biomarker identificaition, voice-of-customer to assess market fit and computational infrastructure and tooling recommendations.
Pillar 3: Data-Mining and Program Derisking
Investors and funding committees expect a strong proof of concept before they commit. We mine public datasets — including gene expression databases, clinical trial repositories, and literature — to build comprehensive data packages that strengthen your case for funding or partnership. Often this approach can be much more cost effective than acquiring samples and generating data from scratch.
- Public dataset mining and reanalysis (GEO, TCGA, UK Biobank, etc.)
- Target/biomarker validation from orthogonal data sources
- Competitive landscape analysis using computational approaches
- Investor-ready data packages and technical summaries
- Grant application support and computational methods reviewGrant Writing and Review for Academics
Free Service for Select Academic Partners
Securing research funding increasingly requires a detailed and technically sound plan for data management and analysis. We assist principal investigators in strengthening the computational sections of their grant applications so that your data analysis section becomes an asset and not a liability.
Pillar 2: Data Analytics
We deliver hands-on multi-omics analysis and AI integration, working as embedded members of your team. Whether you need a single analysis or an ongoing analytical partnership, we bring the expertise to turn your data into actionable biological insight.
- Single-cell and bulk RNA-seq analysis - Multi-omics data integration (transcriptomics, proteomics, metabolomics) - Bespoke bioinformatics pipeline design and deployment - AI and machine learning model development for biological data - Statistical analysis and experimental design consultation - Publication-quality data visualisation
Contact Us
If you're interested in working with us, complete the form with a few details about your project. We'll review your message and get back to you within 48 hours. For students, academics and those working for non-profit organisations, Students, academics, and non-profit employees are eligible for discounted rates. Please contact us for further details.