OOwkin uses artificial intelligence to improve medical diagnostics and speed up the development of new drugs, specifically within the field of oncology. The company builds machine learning models that analyze diverse patient data, such as tissue samples and genetic records, to help researchers predict how patients will respond to specific treatments during clinical trials. Unlike many competitors, Owkin utilizes a collaborative network of academic centers and pharmaceutical companies to train its AI on vast, diverse datasets while maintaining strict data privacy. Their goal is to advance precision medicine by making the drug discovery process faster, less expensive, and more accurate for patients.
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Company Size
201-500
Company Stage
Late Stage VC
Total Funding
$368M
Headquarters
Paris, France
Founded
2016
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Estonia tests 'sovereign AI' on national health data. Owkin's Agentic AI Will Support Biomed Research While Preserving Data Sovereignty Marianne Kolbasuk McGee (HealthInfoSec) - September 29, 2026 Estonia, through Metrosert - the European country's state-owned technical and scientific research organization - has forged a collaborative partnership with agentic artificial intelligence firm Owkin for the use of "sovereign AI" to advance biomedical and other related scientific research. While its population is only about 1.36 million, Estonia is considered to have one of the world's most advanced digital public infrastructures, including its use in healthcare of electronic medical records, e-prescriptions, e-consultations, e-ambulance services, and a nationwide picture archiving and communication system, according to the World Health Organization. Under the partnership announced on Tuesday, Metrosert will evaluate how Owkin's AI scientific platform K Pro can assist researchers to work with complex Estonian health data inside a secure national infrastructure. While Metrosert operates as a company that's owned by the Estonian government, its role in Estonia is akin to the National Institute of Standards and Technology in the United States. Besides conducting research and development activities related to technologies, Metrosert also maintains and develops national measurement standards. The goal of the partnership between Owkin and Metrosert is to enable "reproducible analysis, and faster generation of scientific insight while preserving data sovereignty," Owkin said. Estonia's health system is centrally organized with its Ministry of Social Affairs responsible for health policy development, strategic planning and regulatory oversight. The health system operates under a social health insurance model managed by the Estonian Health Insurance Fund, which administers public funds and contracts with providers to deliver healthcare services to about 94% of the country's population, according to WHO. "Estonia has spent years building the trust, digital infrastructure and health-data capabilities needed for responsible innovation. The next step is enabling those assets to create greater value for science and future health innovation," said Liina Vahtras, Estonia's minister of economic affairs, in a statement. "This collaboration allows us to explore how sovereign AI can strengthen Estonia's position as a leader in secure health-data use." The work between Estonia and Owkin will involve the use of AI with the nation's biomedical data for new scientific discoveries, improve research capabilities and better patient outcomes. Under the pact, the work will explore biomedical research areas such as oncology through linking clinical, molecular, medical imaging and treatment-outcome data. In terms of the "sovereign Al" deployment in Estonia, "K Pro is designed to be deployed where the data lives, inside an approved Estonian secure research environment, with raw patient-level data remaining there," said Sepideh Shokrpour, vice president of global ecosystem and external affairs at Owkin. The deployment architecture, including any approved external model connectivity or operational telemetry, will operate under the security, governance and data-access requirements agreed with Estonia, she told ISMG. While this sovereign AI deployment is a first for Owkin, it will serve as a potential template for other such partnerships with other nations, Shokrpour said. "Together with Estonia, we believe that Estonia can become a reference model for how countries use AI to generate more scientific and economic value from national health-data assets while retaining sovereignty and governance. Any future model would be adapted to each country's own infrastructure, legal framework and research priorities." The immediate beneficiaries of the deployment are expected to be approved Estonian researchers, who will be able to work with complex health data more efficiently and generate reproducible evidence faster, she said. "Over time, stronger research capability can support Estonian universities, biotech and life-sciences partners, attract international R&D and ultimately contribute to better biomedical research and patient outcomes," she said. "The first phase is research-use only, not clinical decision-making," she added. Access to Estonian health data will be governed by the relevant Estonian institutions and approved research permissions, she said. "K Pro supports enterprise controls including SSO/SAML, role-based access and audit logging. The specific access-control configuration for this collaboration is being defined jointly with Metrosert and the relevant Estonian institutions," she said. Separately in the private sector, Owkin is working with a variety of pharmaceutical and biomedical companies, such as Sanofi, Boehringer Ingelheim and Servier. Owkin is also collaborating with pharmaceutical maker Astra Zeneca, which is using K Pro to more quickly analyze and forecast the competitive landscape for new drug trials (see: Astra Zeneca Turns to AI Agent to Cut Drug Discovery Time). Owkin, a "French-American" company that has dual headquarters in Paris and New York, describes K Pro as an AI agent platform that autonomously coordinates a suite of AI skills and tools to help scientists decode complex biology and accelerate research.
Owkin has signed an agreement with Servier to license its AI Scientist platform, K Pro, along with multimodal patient data to support oncology research. Under the deal, Servier's research teams will access patient data from Owkin's MOSAIC network through K Pro for analysis. K Pro is Owkin's agentic AI platform that combines multimodal patient data with specialised biological AI tools. The system supports molecule optimisation, target discovery, biomarker identification, subgroup optimisation, and clinical trial design. This marks the continuation of a collaboration between Owkin and Servier, who previously worked together on patient subgroup identification in oncology. Servier aims to use K Pro's capabilities to deepen understanding of disease biology and accelerate the development of treatments for hard-to-treat cancers.
Owkin signs AI drug discovery deal with Boehringer for cancer, immunology. 02 Sep 2026 08:03PM (Updated: 02 Sep 2026 10:47PM) Add CNA as a trusted source to help Google better understand and surface our content in search results. Sept 2: AI company Owkin said on Wednesday it has signed a licensing deal with Germany's Boehringer Ingelheim, giving the drugmaker access to its AI research platform and patient data to speed up discovery of drugs for cancer and immunity-related diseases. The deal adds Boehringer to a growing list of drugmakers using Owkin's AI technology, "K Pro". AstraZeneca licensed it in May, while Sanofi expanded its partnership with a five-year agreement in June. Here are some more details: - The deal builds on the companies' pilot project in 2025, in which Owkin used its patient tumor samples and related biological datasets to help Boehringer prioritize potential drug targets, the AI company's CEO, Thomas Clozel, told Reuters. - Under the new pact, Owkin will license multimodal oncology data to Boehringer and will generate new data in immunology. - Owkin licenses, sources and generates patient data in collaboration with its global patient data network. - The companies did not disclose the financial terms of the agreement.
DeepCyte launches world's first single-cell mechanistic toxicity atlas as enterprise pharma pilots advance. Proprietary training dataset spanning 300,000 cells and ~100 compounds positions DeepCyte to transform preclinical toxicology with mechanism-based prediction Wilmington, DE and Copenhagen, Denmark /PRNewswire/ - DeepCyte Inc., a techbio company building AI toxicology tools for drug development, today announced the launch of DeeTox Atlas(TM), the world's first single-cell metabolomic reference atlas of drug toxicity mechanisms. Enterprise pilot programs with global pharmaceutical companies begin in the coming months. DeeTox Atlas(TM) is a foundation dataset built from two independent single-cell metabolomics perturbation studies, spanning approximately 100 toxicant compounds, 300,000 cells, and ~500 metabolites per cell - over 3,000 single-cell measurements per compound across six biological replicates. Each compound is mapped to a curated four-level hierarchy of toxicity mechanisms anchored to established Adverse Outcome Pathways (AOPs). Rather than generating new wet-lab data for every compound, DeepCyte trains a foundation model capable of predicting toxicity mechanisms for compounds it has never measured. As the atlas expands, the platform becomes increasingly scalable, reducing laboratory dependence while improving predictive performance. "AI in toxicology is only as good as the biological data it learns from. DeeTox Atlas lets us find subtle molecular patterns tied to key toxicity mechanisms - patterns our validation studies show are expressed in small subpopulations of cells and are effectively invisible to methods lacking single-cell resolution - and turn them into predictive models," said Theodore Alexandrov, Co-Founder and CEO of DeepCyte. "Our vision is to move toxicology from reactive laboratory testing toward predictive, mechanism-based AI that surfaces and explains safety liabilities earlier in drug discovery." The Atlas will expand with more compounds, mechanisms, and biochemical and clinical data, making predictions more actionable for toxicologists, medicinal chemists, and safety scientists. DeepCyte has also appointed Mona Lakkis as Senior Vice President of Partnerships. Formerly Senior Vice President & General Manager at Owkin, Lakkis will lead enterprise commercialization as DeepCyte advances pilots with three of the top 20 pharmaceutical companies. About DeepCyte DeepCyte is an AI-powered techbio company developing predictive toxicology solutions for drug discovery. By training mechanistic AI models on proprietary single-cell data, DeepCyte helps pharmaceutical companies predict toxicity mechanisms earlier, accelerating safer and more efficient therapeutic discovery. Like what you are reading?
Owkin to integrate Kognitic's clinical trial data into K Pro through new collaboration. NEW YORK & PARIS - Owkin, the agentic AI company pioneering Biological Artificial SuperIntelligence to revolutionize drug discovery and development, today announced a data collaboration with Kognitic to integrate Kognitic's clinical trial data into K Pro, Owkin's AI Scientist. The collaboration will initially focus on oncology and immunology, with the potential to expand into additional therapeutic areas and datasets over time. Kognitic structures global clinical trial signals into a normalized, decision-ready evidence layer for commercial, medical, and BD teams. These signals span trial registries, pipeline timelines, and competitive landscape data. Through this collaboration, Kognitic clinical data will be accessible directly within K Pro, giving decision-making teams a single source of data across fragmented feeds. K Pro combines multimodal patient data with specialized biological, agentic AI systems to support each stage of the pharmaceutical value chain. Bringing Kognitic's clinical trial data into that layer extends K Pro's reach into competitive intelligence and portfolio-decision use cases, alongside its existing biological and multimodal data capabilities. Thomas Clozel, MD, Co-founder and CEO, Owkin: Pharmaceutical decision-making depends on the best, structured, real-time data. Bringing Kognitic's clinical trial data into K Pro gives its partners a faster, more complete picture the moment they need it. Kimon Lounis, Director of Commercial Strategy & Partnerships, Kognitic: This partnership is a major milestone for Kognitic and for how clinical trial data can power advanced AI in life sciences. By bringing Kognitic's clinical trial data into K Pro, Owkin can support Owkin's AI Scientist with richer evidence for agentic workflows and biological reasoning. Jaseem Mahmmdla, Co-Founder and CEO, Kognitic: The next generation of AI in life sciences will be built through partnerships that combine best-in-class intelligence. Owkin has built an exceptional platform with K Pro, and together Owkin is bringing trusted clinical trial data into a unified environment to help pharmaceutical teams make faster, more informed decisions. About Owkin. Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology too challenging for human researchers alone. Owkin builds K Pro - an AI scientist that works alongside pharmaceutical research teams to power discovery and strategic decision-making. K Pro autonomously orchestrates a suite of AI skills and tools to decode complex biology and accelerate research, with scientists shaping every hypothesis, decision, and discovery. K Pro is built on Owkin's unrivalled multimodal patient data network, state-of-the-art AI for biology, and a decade of experience working hand-in-hand with pharmaceutical partners.
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Industries
Company Size
201-500
Company Stage
Late Stage VC
Total Funding
$368M
Headquarters
Paris, France
Founded
2016
Find jobs on Simplify and start your career today