Pathos AI secured $237 million at an approximately $3 billion valuation while announcing neuroscience-focused AI collaborations with Bristol Myers Squibb and Tempus.
Pathos AI announced on October 23 that it raised $237 million in a Series E round led by Bristol Myers Squibb, valuing the drug-development company at approximately $3 billion. The company also disclosed collaborations with Bristol Myers and Tempus AI to apply its AI platform to Alzheimer’s disease and other neurological conditions.
Under the arrangement, Tempus plans to assemble a de-identified, longitudinal dataset covering hundreds of thousands of patients with neurological conditions. Pathos will license the data under a five-year, $55 million agreement and use its Foundry platform to analyze disease biology and inform the design of clinical trials. Bristol Myers gains non-exclusive access to Foundry across its broader research portfolio, plus three-year exclusive rights to use the platform for neuroscience development programs.
Pathos says Foundry uses thousands of specialized AI agents to synthesize clinical, genomic and biological data, alongside information about other drug-development efforts. The company describes the system as a tool for guiding decisions about drug programs and trials; the announcement does not establish that its AI has improved treatment outcomes or produced an approved medicine.
The financing will also support Pathos’s oncology pipeline, which the company says has four active clinical assets. A key stated priority is advancing JSKN-016, a TROP2/HER3 bispecific antibody-drug conjugate, toward registrational studies. Funds are also earmarked for other programs, including an experimental breast-cancer drug partnered with AstraZeneca.
The deal brings together a sizable financing round and a new use of Pathos’s AI platform beyond oncology. The neurological dataset and collaborations are intended to support research and trial planning, but any resulting treatments would still need to demonstrate safety and efficacy through clinical testing.
