Bioinformatics & AI
Data-driven development, guided by biotechnology expertise
Accelerate your development with the powerful combination of bioinformatics, AI, and deep biotechnology expertise
Our bioinformaticians work closely with scientific teams throughout research projects, translating complex data into targeted experiments and development strategies.
Our capabilities span physics-based bioinformatics, data science, AI, enzyme design, next-generation sequencing, strain sequencing, genomics, transcriptomics, and bioprocess development.
This integrated approach delivers solutions tailored to your project helping you make informed decisions, reduce development risks, and achieve better results faster.
Further integrated services
How we found an alternative genome-editing platform for engineering industrial strains
This case study shows how we took a holistic approach and combined technologies to provide a more efficient enzyme tailored to the needs of a specific industrial application.
It's more than just experience and knowledge
Alternative proteins continue to attract significant investment, precision fermentation is gaining commercial momentum, and consumer demand for health-focused products remains central to food and beverage development.
Deep-sea metagenomes provide access to unique genetic diversity for pharmaceutical, food, feed, beverage and other industrial applications
Side streams can be transformed into innovative products: An example from the wine industry
From maximising extract and improving lauter performance to supporting yeast health, clarity and shelf stability, enzymes quietly solve some of the brewing industry’s toughest challenges.
Accelerate enzyme discovery with the MetXtra™ technology platform and pave the way for your breakthrough in industrial biocatalysis
It can be difficult to produce CRISPR nucleases for use as RNPs. This case study demonstrates how we found a solution.
Finding the right enzyme quickly with our directed enzyme panels.
When every stage of enzyme development is connected, innovation moves faster, risks are reduced, and better outcomes become possible.
Implications for metagenomics, microbial strain collections, and enzyme discovery using digital sequence information
