Robust analytics and AI solutions for the entire pharma value chain
In a rapidly evolving data landscape, Domino’s future-proof platform empowers life sciences companies to enhance collaboration, streamline workflows, and support the entire pharmaceutical lifecycle, from early research and discovery to clinical analytics and post-launch activities.
Our mission is to bridge the gap between data science, IT, and business teams with a single, unified platform. Power faster time to insights, reduce costs, and accelerate time-to-market for new therapies while maintaining the highest standards for data integrity and compliance.
Turn data into insights faster with streamlined bioinformatics workflows
Utilize state-of-the-art data science technologies like machine learning operations (MLOps) and Nextflow to streamline DNA/RNA sequencing and proteomics workflows. Accelerate research on vaccines, cancer prevention, cell mutation predictions, personalized medicine, and drug discovery.
Top 10 global pharmaceutical company
Learn how this customer used Domino MLOps to analyze data from over 10,000 tumors to identify new classes of drugs and the discovery of a specific chromosome that can impact immunity to cancer cells.
On-demand demo: Unlock real-world evidence at scale
Pharmaceutical companies are under pressure to deliver more transparent, timely, and traceable real-world evidence. Domino helps teams generate RWE faster by unifying infrastructure, analytics, and governance in a single platform so you can deliver reusable, interactive insights that meet the highest regulatory standards. Watch the demo to see how to:
- Work with diverse real-world data sources from a single, governed platform
- Build and deploy predictive models to support causal inference, cost prediction, and patient stratification
- Deliver interactive dashboards and apps for clinical and business users to explore insights
- Ensure reproducibility and audit readiness with built-in versioning, traceability, and compliance
- Scale from one-off studies to enterprise-wide pipelines for real-time evidence generation
