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Biotechnology
Machine intelligence for biological complexity.
Turn complex biology into your next breakthrough.
Modern biotech produces vast, multi-layered datasets. DDN applies machine learning to find the signals that matter.
Your scientists spend less time wrangling data and more time making discoveries.
- Genomic, biomarker and phenotypic data in one place
- 20+ years of machine-learning experience
- Research-grade, secure data handling
Experience across every major global pharma company
Pfizer
AstraZeneca
GSK
Novartis
Roche
Sanofi
Johnson & Johnson
MSD
Novo Nordisk
Eli Lilly
AbbVie
Bayer
Bristol Myers Squibb
Boehringer Ingelheim
Amgen
Gilead
Merck KGaA
Regeneron
Vertex
Haleon
Reckitt
Kenvue
Sandoz
Hikma
Servier
Opella
Perrigo
Capabilities
Our capabilities can support
Complex biology. Intelligent data.
Why it matters
Faster science starts with connected data.
Find signals sooner
Surface relationships across genes, biomarkers and outcomes that manual analysis can miss.
One view of your data
Research, laboratory and longitudinal datasets brought together and ready to analyse.
Decide with confidence
Validated models that show what is predicted and how reliable that prediction is.
Use cases
What you can do with DDN
Target and biomarker discovery
Prioritise the targets and biomarkers most worth pursuing.
Patient stratification
Identify the sub-groups most likely to respond.
Predictive modelling
Forecast outcomes from multi-dimensional biological data.
Research data platforms
Structured, searchable data environments your teams can build on.
Multi-omics integration
Combine genomic, proteomic and clinical layers into one analysis.
Trial readiness
Move from discovery into clinical development with data that is ready to go.
How it works
Up and running in three simple steps.
- Tell us your goalA short call to understand your data, your challenge and what success looks like.
- We connect and modelWe bring your data together and build machine learning around your objective.
- You act with confidenceClear, validated insight delivered into the tools your team already uses.
Who it's for
Built for organisations like yours.
Questions
Good to know.
Do we need our own data science team?
No. We bring the machine-learning expertise and work alongside your scientists, starting with the data you already have.
Can you work with our existing systems?
Yes. We connect to your current data sources and analytics tools rather than replacing them.
How is our research data protected?
Your data stays yours. We work under NDA in secure, access-controlled environments with privacy by design.
How quickly can we start?
Most projects begin with a focused pilot, so you see value early before scaling up.
Clinical trials & drug development
Running a trial or developing a new medicine?
Machine learning for feasibility, recruitment, retention, monitoring and real-world evidence.
Healthcare & life sciences
Explore our other industries
Talk to DDN
Ready to accelerate your research?
Tell us about your data and your next milestone. We will show you where machine learning can add the most value.