Scientific expertise,
deployed end-to-end.
We provide scientific expertise across the full R&D lifecycle, from experimental design and multi-omics data analysis, to AI and custom algorithms, to IP strategy. Our team works embedded inside yours, as a senior scientific partner rather than an outside vendor.
Bring us your problemFive ways we help.
We cover the full R&D lifecycle, from hypothesis to market. Most clients engage us across two or more of these areas.
AI & Custom Algorithms
We design and build domain-aware AI from the ground up: purpose-built models that genuinely understand the science behind your data.
We build AI that is science-first: the architecture reflects domain logic, not just a data pattern. Every solution is delivered with full IP ownership and no vendor lock-in.
Advanced scientific modelling
We combine rigorous scientific methodology with cutting-edge software development, including neural networks and machine learning algorithms, to build systems that don't just process data, but truly comprehend the underlying scientific principles driving your research and business objectives.
Custom AI & algorithms
Every AI solution is custom-built for your requirements and completely transferred to your ownership. From large language models and generative AI to specialised computer vision and predictive analytics, we create independent, scalable systems that integrate with your workflows and grow with your organisation, with no ongoing subscription dependencies.
End-to-end data solutions
From complex multi-omics analysis using deep learning to intelligent document processing for contracts and legal texts, we bridge the gap between raw data and actionable intelligence. Our NLP solutions automate the analysis of textual documents for law firms and enterprises, while our analytics platforms enable faster discovery and more robust experimental design.
Scientific Data Analysis
We extract meaningful signal from complex, multi-layered scientific datasets, combining bioinformatics, statistics, and deep domain expertise.
Our biostatisticians and computational biologists have worked across metagenomic sequencing, multi-omics integration, cardio-metabolic profiling, wearable data streams, and mass spectrometry outputs. We work with messy, heterogeneous datasets and deliver interpretable, publication-ready results, not just a CSV with a p-value.
Multi-omics & metagenomics
Genomics, transcriptomics, proteomics, metabolomics, 16S and shotgun sequencing, functional profiling, and host-microbiome interaction modelling. We integrate these layers to identify biologically coherent signals beyond single-modality analysis.
Mass spectrometry pipelines
End-to-end metabolomics and proteomics workflows, from pre-processing and normalisation to statistical modelling and pathway enrichment analysis.
Biomarker discovery
We identify and validate candidate biomarkers for disease, performance, and nutrition, using multivariate statistics, feature selection, and bootstrapped validation.
Wearable & longitudinal data
Time-series modelling of physiological signals, recovery metrics, and performance indicators from athlete monitoring, clinical trials, and consumer devices.
Reproducible pipelines
All analyses are delivered in documented, version-controlled pipelines (R, Python, Snakemake) that can be re-run, audited, and extended by your team.
Experimental Design
We design studies that generate robust, reproducible, and regulatory-ready evidence, reducing trial-and-error and building scientific foundations that attract funding.
Bad experimental design is expensive. Underpowered studies fail to detect real effects. Poorly controlled trials generate data that reviewers and regulators reject. We work with clients before they run experiments, designing studies that answer the right question, with the right power, and generate data that holds up to scrutiny. We cover efficacy studies, safety trials, clinical-grade protocols, and process validation.
Power analysis & sample sizing
We calculate the minimum sample size required to detect your effect, accounting for expected variance, dropout, and multiple comparisons corrections.
Randomisation & blinding
From simple block randomisation to adaptive designs and double-blind crossover protocols. We match design to question and regulatory context.
Clinical study design
Design of pilot trials, feasibility studies, and Phase I–II protocols for MedTech and nutraceutical clients, with awareness of CE, FDA, and EFSA pathways.
Bioprocess validation
DOE-based optimisation for fermentation, cell culture, and extraction processes, identifying critical parameters and setting validated control ranges.
Performance & nutrition protocols
Sport science and food system interventions: athlete performance testing, dietary supplementation trials, and gut health studies with appropriate controls.
Reproducibility frameworks
We implement pre-registration, open materials, and pre-specified analysis plans, producing studies that survive replication and peer review.
IP & Innovation Mapping
We map the patent and technology landscape around your innovation, identifying white spaces, tracking competitors, and positioning your IP for maximum protection and commercial impact.
Most early-stage science companies either ignore IP until it's too late or over-invest in patent filings before validating novelty. We bridge the gap by conducting systematic freedom-to-operate and novelty assessments, identifying competitive positioning, and helping teams build an IP strategy that supports both investment rounds and regulatory submissions.
Patent landscape & freedom-to-operate
Systematic review of patent databases (EPO, USPTO, WIPO) across your technical domain, mapping the claim space, identifying white spots your innovation can occupy, and advising on design-around strategies for potentially blocking patents.
Competitive & technology intelligence
R&D activity tracking of key competitors (new filings, granted patents, licensing activity, and publication trends), alongside scouting of emerging technologies, startups, and academic groups working adjacent to your space, delivered as actionable intelligence reports.
IP strategy for fundraising & regulation
We help you present your IP position credibly to investors, mapping defensibility and filing priorities, and connect that position to the regulatory pathways that govern commercialisation (Novel Foods, MDR, EU AI Act).
Compliance & Sustainability
From lab design to SOP writing, regulatory alignment, and sustainability reporting, we help you build compliant, efficient research infrastructure and prove its environmental impact.
Starting a lab, or scaling one, involves more than equipment. Regulatory bodies, institutional committees, and investors want to see documented systems: SOPs, risk assessments, quality frameworks, and data integrity controls. We help teams get this right the first time, setting up workflows that are compliant, scalable, and legible to external auditors without slowing down the science.
Lab design & SOPs
Space layout, equipment specification, vendor selection, and installation planning for BSL-1/2 wet labs, analytical suites, pilot-scale bioprocessing, and food technology labs, paired with clear, practical standard operating procedures for analytical methods, sample handling, calibration, and safety protocols.
Compliance & data integrity
Gap analysis and remediation against ISO 9001, ISO 17025, GLP, GMP, and GDP, alongside electronic lab notebook setup, data governance frameworks, and FAIR data principles, preparing facilities and teams for third-party audits and regulatory submissions.
Food safety & Novel Foods
Regulatory dossier support for novel food applications (EU Regulation 2015/2283), HACCP implementation, and food safety management systems for alternative protein producers.
Life Cycle Assessment (LCA)
ISO 14040/44-compliant LCA studies for food, biotech, and biomaterial products, generating environmental impact data required for sustainability claims and investor reporting.