BIOTECH

Transforming biology into solutions for health, agriculture, and beyond.

Biotech harnesses the complexity of living systems to drive innovation — from engineering microbes and optimizing metabolic pathways to developing next-generation therapeutics and diagnostics. As the boundaries between biology, data science, and technology continue to blur, the need for interdisciplinary support has never been greater. We partner with research teams, startups, and scale-ups across the entire innovation cycle — from early discovery and proof-of-concept to process optimization and pre-commercial validation. With deep scientific expertise, multi-omics analysis, and tailored strategic support, we help you turn complexity into clarity, accelerate your path to impact, and build the solid scientific foundations that attract funding, partnerships, and market success.

FEATURED CAPABILITIES

MULTI-OMICS

We provide integrated analysis of genomic, transcriptomic, proteomic, and metabolic datasets to help you unlock the full complexity of biological systems. This service supports everything from strain engineering to pathway discovery and biomarker identification. Our approach combines bioinformatics with biological insight, ensuring your data drives meaningful conclusions — whether you’re optimising a microbial chassis, engineering new enzymes, or exploring therapeutic targets.

AI AND ALGOS

We develop customised algorithms and machine learning models to accelerate discovery and optimise biological processes. Whether you’re building predictive models for gene expression, analysing large-scale datasets, or automating image analysis, we tailor solutions that scale with your R&D. Our team helps transform your raw data into decision-ready outputs, bringing both speed and clarity to complex research.

EXP DESIGN

Our experimental design service ensures your studies are statistically robust and biologically relevant. We help you define clear hypotheses, select optimal conditions, and structure your experiments to reduce variability and maximise reproducibility. Whether you’re conducting lab-based assays or high-throughput screening, we make sure your design is aligned with scientific best practices and business goals.

Our support

Better science drives smarter business.
In biotech, the cost of a failed experiment or an unclear dataset can be immense. Companies that invest in robust experimental design, multi-omics integration, and IP mapping from the start are more likely to attract funding, protect their discoveries, and accelerate time-to-market.

Integrating data science and automation in biotech can cut R&D costs by up to 30% and reduce development time by 1–2 years. With our support, you reduce uncertainty, streamline discovery, and build a foundation that attracts investors and delivers real-world impact — faster and with greater clarity.