Power safer chemical and drug development by building AI-ready toxicology data.
Drug and chemical developers rely on toxicology data to make critical decisions, yet the underlying data is scattered, inconsistent, and often impossible to analyze at scale. This slows discovery, obscures mechanistic insights, and contributes to high failure rates in the clinic.
We founded FlashPath to fix the foundation. By cleaning, unifying, and structuring the world's largest toxicology datasets, we give scientists, modelers, and safety teams the clarity they need to make better decisions, faster.
FlashPath is creating AI-enabling toxicology data and tools, beginning with ToxiDex, a unified, scientifically cleaned collection of individual-animal toxicology data from the three largest global sources.
High-quality, cleaned foundations specifically designed for toxicology and safety assessment.
Solutions that support predictive modeling, translational insights, and chemical exploration.
Systems that allow scientists to move faster and transition from legacy files to scalable insights.
Cleaning and structuring toxicology data with domain expertise and full transparency.
Building models on strong, harmonized foundations rather than patchwork datasets.
Minimizing new testing by maximizing the value of existing data and prior studies.
Infrastructure designed for everything from exploratory analysis to model-informed drug development.
Most of this data has been around for years; however, advances in AI have finally made the cleaning of these scattered and difficult-to-access datasets possible.
We can now build predictive safety systems on top of unified, high-quality data.
FlashPath exists to make that possible—to help the industry reduce failures, improve safety decisions, and accelerate development.