Heuresia is an early-stage company applying machine learning to drug discovery - starting with the question that kills most drug candidates before anything else does: is it safe
Heuresia is an early-stage company applying machine learning to drug discovery - starting with the question that kills most drug candidates before anything else does: is it safe? Most compounds fail not because they don't work, but because they turn out to be toxic, often after years and millions of dollars invested. We're building a system that predicts that risk computationally, before a molecule is ever synthesized. We're pre-seed and pre-funding. Right now, that means a small founding group building toward one clear proof point: a toxicity-prediction model that outperforms the best publicly available tools on real benchmarks. Everything else from molecule generation to full simulation of drug-protein interactions is the direction we're building toward once that foundation holds. We're not a large company yet. We're a handful of people: ML engineers, biochem and pharma-adjacent researchers, and backend engineers - building this from the ground up. If you want to know more about where this is headed, reach out, we're happy to share the roadmap.
Drugs can be toxic for the liver
Use our models to predict toxicity before money is poured into a drug