
bfPREPTM
bfPREP™ transforms raw, fragmented biomedical data into clean, harmonized, AI-ready assets you can trust.
- Prepare clinical trial data for analysis
- Harmonize multi-omics, and clinical data sets
- Enable reliable AI/ML drug target discovery
- Accelerate data readinesstrust.

bfLEAP®
bfLEAP® uncovers biologically meaningful patterns, subgroups, and drivers hidden within complex, multimodal datasets.
- Identify responder and non-responder Patient subgroups
- Discover novel drug targets and biomarkers
- Understand disease heterogeneity
- Understand disease mechanisms
- Optimize translational insights from preclinical to clinical

Coming Soon
Convert biological insight into ranked, explainable decisions that drive portfolio confidence.
- Prioritize Drug Targets and development program
- Support indication selection and trial design decisions
- Rank portfolio options by scientific and clinical impact
- Build diversified, risk-balanced R&D portfolios


bfPREP™
Data Harmonization Platform
Data Extraction, Feature Engineering, Schema Design
bfLEAP™
Biomedical Data Analysis
Subgroup and Driver Identification in Complex Datasets
AI Decision Support
COMING SOON
Decision & Strategy Platform
Whitepapers
Data Harmonization: The Hidden Prerequisite for Reliable AI/ML in Life Sciences
Artificial intelligence promises to accelerate drug discovery, but most AI initiatives in biopharma fail before a model is ever trained….
AI in Bioinformatics: Turning Complex Datainto Actionable Insights with BullFrog DataNetworks®
AI in Bioinformatics: Turning Complex Data into Actionable Insights with BullFrog Data Networks®The life sciences industry faces a paradox: researchers…
Webinars
Clinical Data Analysis with Agents Reliable Automation with Human Oversight
Clinical data rarely arrives analysis-ready. In a recent project, our team used bfPREPTM to convert 10,000+ pages of clinical PDFs…
AI in Bioinformatics Overcoming Pitfalls in Statistical, ML and Generative AI Approaches
Unlock the complexities of AI in Bioinformatics in this engaging webinar, “AI in Bioinformatics: Overcoming Pitfalls in Statistical, ML and…