From Data
to AI
How can biopharma companies unlock the full potential of their data and accelerate innovation? Artificial intelligence (AI) is reshaping biopharma R&D by automating complex tasks, uncovering hidden insights, and enabling breakthroughs once out of reach. The real challenge lies in embedding AI in routine scientific workflows, while keeping full transparency and controlling risk. Only then can it deliver consistent, reproducible value across everyday activities — AI insights you can trust.
This is where Genedata comes in.
The promise of AI in drug discovery hinges on feeding it the right data. With Genedata, we can generate structured, high-quality datasets that drive innovation and enable scalable automation for future AI and ML use cases.
Patrick MM Shelton
Principal Scientist
The platform helps us to effectively work with vast amounts of complex data while positioning us for AI and ML initiatives — all aimed at enabling optimized decision-making and improved efficiency in bringing life-saving medicines to patients.
Rik Rademaker
Director
Our end-to-end automated engineering lab produces massive amounts of complex data unmatched in the industry that Genedata captures and structures into high-quality and contextualized information to feed into our AI platform. This is critical for accelerating our research and provides the basis for data-driven design of innovative drug candidates.
Jörg Birkenfeld
Chief Scientific Officer
AI-Ready Data.
Power Reliable Predictions.
- Generate structured, annotated, and traceable datasets to build reproducible, high-quality AI models
- Curate assay outputs and label phenotypic images to deliver AI-ready data from experiment to analysis
- Accelerate innovation with scalable, trustworthy AI powered by high-quality, analysis-ready data
AI-Powered Analytics.
Turn Data Into Insights.
- Automate complex data interpretation with AI to reduce manual workload, improve accuracy, and accelerate R&D
- Classify phenotypes, denoise signals, and interpret assay curves using deep learning (DL) embedded in scientific workflows
- Identify novel patterns and targets with traceable, expert-validated insights that shift focus from routine tasks to innovation
Integrated Wet & Dry Labs.
Connect Data to Decisions.
- Rapidly develop, test, deploy, and scale AI models in a connected environment tailored for biopharma R&D
- Automatically generate data products for AI and statistical analysis, enabling faster, more informed decision-making
- Integrate in silico predictions with wet lab data to streamline validation and accelerate the R&D lifecycle
AI Agents in Everyday Workflows.
Speak To Your Data.
- Use AI agents to discover data, suggest analyses, and support decision-making across scientific workflows
- Enable intuitive, conversational access to complex datasets with natural language processing (NLP)
- Maintain oversight with human-in-the-loop validation in GxP settings while accelerating insights in broader use cases
