Full Press Release Details
WILMINGTON, Del. & SAN FRANCISCO--(BUSINESS WIRE)--$INCY--Incyte (Nasdaq:INCY) and Edison Scientific today announced a strategic collaboration to employ Kosmos, Edison’s AI scientist, for Incyte’s discovery and development work.
Kosmos will be embedded across the Incyte discovery and development lifecycle, enabling continuous learning from translational and clinical data, real-time synthesis of evidence and predictive models of therapeutic performance.
The initial deployment will be focused on high-impact use cases in target discovery and validation and translational biology, centered on embedding Edison’s AI capabilities within Incyte’s research workflows to support more efficient exploration of experimental, clinical and biomarker data with the potential to expand across Incyte’s broader R&D organization. The companies will work together to measure impact on decision quality and long-term pipeline productivity as the system evolves.
“Our vision is for our data to become a learning system that enhances every decision,” said Pablo J. Cagnoni, M.D., President and Global Head of Research and Development at Incyte. “This partnership aims to maximize our data’s value by integrating AI to guide experimental design and improve the quality and consistency of scientific and development decisions. Our goal is not just faster development, but better outcomes across our programs.”
“By using systems that learn from our experimental and clinical data, we can enhance result interpretation, creating a feedback loop that boosts both speed and quality in future programs,” added Patrick Mayes, Ph.D., Executive Vice President and Chief Scientific Officer at Incyte.
At the core of the collaboration is a new model for biopharma: one in which a company’s data is not just stored and analyzed, but becomes a compounding asset, used to train AI systems that improve over time and systematically enhance experimental and clinical outcomes.
“Most AI efforts in pharma treat data as something to analyze,” said Sam Rodriques, Ph.D., Chief Executive Officer of Edison Scientific. “What we are building treats data as something to learn from continuously. The result is a system that compounds—where every experiment, every clinical readout and every decision improves the underlying models. That is how companies, like Incyte, will turn their data into a sustainable advantage over their competitors.”
About IncyteIncyte is redefining what’s possible in biopharmaceutical innovation. Through deep scientific expertise and a relentless focus on patients, we have built an established portfolio of first-in-class medicines and an extensive portfolio of next-generation medicines across our key franchises: Hematology, Oncology and Inflammation and Autoimmunity.
To learn more, visitIncyte.comandInvestor.Incyte.com. Follow us on social media:LinkedIn,XandInstagram.
About Edison ScientificEdison Scientific is building the AI platform for scientific research and development. Kosmos, Edison’s collaborative AI scientist, partners with R&D teams to support critical decisions and workflows, leverage their proprietary data, and bring innovations to market faster. Edison is a scientist-led company that was spun out of the nonprofit research lab FutureHouse in 2025, backed by $70M from Spark Capital, Triatomic Capital, and other investors.
To learn more, visitedisonscientific.comand follow the company onLinkedInandX.
Incyte Forward-looking StatementsThis press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 and other federal securities laws, including statements regarding the potential for the parties’ collaboration and the Kosmos AI platform to enhance Incyte’s discovery and development lifecycle and to support more efficient exploration of experimental, clinical and biomarker data, Incyte’s aim to maximize the value of its data by integrating AI to guide experimental design and improve the quality and consistency of scientific and development decisions, Incyte’s goal of using AI to enable faster development and better outcomes across its programs, the expectation that Incyte’s data will serve as a compounding asset and competitive advantage and Incyte’s aspirations, Incyte's plans and expectations regarding the deployment of collaboration technology and goals as set forth under the heading “About Incyte.”
Actual results may differ materially from those indicated in the forward-looking statements as a result of various important factors, including: Incyte’s ability to use AI and improve the quality, consistency and speed of research and development decisions; Incyte’s ability to demonstrate the efficacy and safety of its products and product candidates; the sufficiency of clinical trial data to meet applicable regulatory standards or warrant continued development; the ability to enroll sufficient numbers of subjects in clinical trials; actions of regulatory agencies, which may affect the initiation, timing and progress of clinical trials and marketing approval; Incyte’s ability to achieve commercial success for its marketed products and product candidates, if approved; Incyte’s ability to obtain and maintain protection of intellectual property for its products and technology; Incyte’s reliance on third parties and partners; the acceptance of Incyte’s products in the marketplace; market competition, sales, marketing, manufacturing and distribution requirements; and those risks and uncertainties discussed in greater detail in Incyte’s reports filed with the U.S. Securities and Exchange Commission, including its annual report on Form 10-K and its quarterly report on Form 10-Q for the quarter ended March 31, 2026. Incyte disclaims any intent or obligation to update these forward-looking statements.
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