
Phase Advance AI is a drug development company that utilizes its Phase Advance™ technology to power complex mathematical models of disease progression in silico. This technology accurately predicts day-to-day responses at an individual patient level for future Phase III clinical trials, even for drugs that have not yet entered preclinical or clinical testing. Their mission is to reduce the cost of new medicines by using mathematics, artificial intelligence, and human biology to predict cure rates years in advance. They serve Biopharma companies, Contract Research Organizations (CROs), Investors, and AI Discovery Firms by helping them rank molecules, optimize leads, design successful clinical trials, de-risk investments, and predict efficacy versus competitors. The company claims 99.94% proven accuracy in subsequent prospective clinical trials and can deliver predictions in 3 months per 10 molecules, significantly reducing the time and cost associated with traditional drug development which can take 12-15 years and cost up to $3 billion, with a high failure rate.

Phase Advance AI is a drug development company that utilizes its Phase Advance™ technology to power complex mathematical models of disease progression in silico. This technology accurately predicts day-to-day responses at an individual patient level for future Phase III clinical trials, even for drugs that have not yet entered preclinical or clinical testing. Their mission is to reduce the cost of new medicines by using mathematics, artificial intelligence, and human biology to predict cure rates years in advance. They serve Biopharma companies, Contract Research Organizations (CROs), Investors, and AI Discovery Firms by helping them rank molecules, optimize leads, design successful clinical trials, de-risk investments, and predict efficacy versus competitors. The company claims 99.94% proven accuracy in subsequent prospective clinical trials and can deliver predictions in 3 months per 10 molecules, significantly reducing the time and cost associated with traditional drug development which can take 12-15 years and cost up to $3 billion, with a high failure rate.