BullFrog AI
BullFrog AI is a technology-enabled drug discovery company that leverages artificial intelligence (AI) to identify new drug targets and accelerate the development of lifesaving medicines. The company combines computational biology and advanced AI/ML techniques to model complex biological systems, aiming to reduce the time and cost of drug development while improving success rates. Their mission is to transform drug discovery and development through innovative AI solutions, making therapies safer, more effective, and accessible faster.
Industries
Nr. of Employees
small (1-50)
BullFrog AI
Boyds, Maryland, United States, North America
Products
Explainable AI platform for drug discovery
A software platform that provides explainable predictive analytics and multivariate modeling to support target discovery, patient stratification, and trial optimization.
Internal drug development pipeline
Proprietary drug discovery and development programs supported by AI-driven target selection and preclinical optimization.
Explainable AI platform for drug discovery
A software platform that provides explainable predictive analytics and multivariate modeling to support target discovery, patient stratification, and trial optimization.
Internal drug development pipeline
Proprietary drug discovery and development programs supported by AI-driven target selection and preclinical optimization.
Services
Discovery and stratification of CNS drug targets using curated brain expression datasets and causal/graph-based analytics in partnership with external research institutes.
Model-driven clinical trial design and optimization to improve patient selection and trial success probabilities.
Development and deployment of data network platforms to aggregate and harmonize heterogeneous biomedical datasets for analytics.
Predictive modeling and explainable analytics to stratify patients for therapy matching and dosing strategies across development stages.
Discovery and stratification of CNS drug targets using curated brain expression datasets and causal/graph-based analytics in partnership with external research institutes.
Model-driven clinical trial design and optimization to improve patient selection and trial success probabilities.
Development and deployment of data network platforms to aggregate and harmonize heterogeneous biomedical datasets for analytics.
Predictive modeling and explainable analytics to stratify patients for therapy matching and dosing strategies across development stages.
Expertise Areas
- AI-driven drug discovery
- CNS target discovery and neuropsychiatric stratification
- Clinical trial design and optimization
- Precision medicine and patient stratification
Key Technologies
- Causal machine learning
- Graph-based analytics
- Explainable AI for predictive analytics
- Ensemble machine learning methods