Pathos AI, an innovative player in the oncology drug development landscape, has secured an impressive $365 million in its Series D funding round, signaling a significant leap forward for its AI-enabled platform. This substantial financial boost elevates Pathos AI's post-money valuation to approximately $1.6 billion, underscoring the high expectations investors have for its cutting-edge approach to cancer drug discovery. The influx of capital is earmarked for advancing the company’s clinical-stage pipeline and enhancing its unique AI Foundation Model, which is specifically tailored for oncology applications.
What sets Pathos AI apart in the crowded biotech and AI field is its focus on creating a multimodal foundation model that integrates diverse data types—clinical, imaging, and molecular. This approach is akin to giving the AI a multidimensional view of cancer, allowing it to better refine the selection of clinical assets, optimize study designs, and uncover novel biomarkers. These capabilities are crucial because oncology drugs often face significant hurdles during development, including identifying the right patient populations and predicting clinical outcomes accurately. By leveraging such a broad spectrum of data, Pathos AI aims to tackle these challenges head-on, ultimately accelerating the pace at which new cancer treatments reach patients.
Iker Huerga, CEO of Pathos AI, articulated the company’s bold vision: “Pathos was founded to transform drug development by harnessing the full potential of multimodal data and AI.” He emphasized that the new funds will help build “one of the most advanced AI engines,” which promises not only to speed up drug development but also to deepen clinical insights and ensure that innovative therapies are precisely targeted to those who need them most. This human-centered approach to AI-driven drug development could reshape the oncology landscape by addressing one of the field’s biggest frustrations—the lengthy timelines and high failure rates traditionally associated with bringing new cancer drugs to market.
A tangible example of Pathos AI’s groundbreaking efforts comes from its recent progress in clinical trials. In March 2025, the company announced the dosing of the first patient in its Phase Ib/IIa clinical trial, which evaluates its first clinical-stage asset, pocenbrodib—a CBP/p300 inhibitor. The trial explores the efficacy of pocenbrodib both as a standalone therapy and in conjunction with existing drugs such as olaparib, abiraterone acetate, and 177Lu-PSMA-617 for the treatment of metastatic castration-resistant prostate cancer (mCRPC). This trial is notable for its focus on a highly challenging variant of prostate cancer, where traditional therapies often fall short, demonstrating Pathos AI’s commitment to addressing unmet medical needs.
Further amplifying its impact, Pathos AI has entered a strategic multi-year collaboration with pharmaceutical giant AstraZeneca and precision medicine company Tempus in April 2025. This partnership is designed to develop a large-scale, multimodal deep learning model that could revolutionize cancer drug discovery by rapidly identifying drug targets and fostering the creation of new treatments. Tempus will benefit from a lucrative $200 million licensing and model development agreement, reflecting the significant commercial and scientific potential of this alliance. Together, these companies are pushing the envelope on how artificial intelligence and deep clinical insights can converge to transform oncology drug pipelines, accelerating innovation and bringing hope to patients worldwide.
This multifaceted approach to drug development represents a refreshing new model in oncology, where the integration of multimodal data, advanced AI technologies, and deep clinical insights open the door to faster and more precise therapeutic advances. By harnessing these tools, Pathos AI aims to overcome traditional bottlenecks and deliver life-saving treatments to cancer patients with unprecedented speed and accuracy. The company’s ambitious journey exemplifies how AI is no longer just a futuristic concept but a present-day force capable of reshaping one of medicine’s most formidable frontiers.
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