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Bioptimus

AI foundation models for biological data

Overview

Bioptimus develops AI foundation models for biology that integrate data across scales and modalities to learn from molecules, cells, tissues, and organisms. It offers SaaS licensing, including paid pharma partnerships and pay-per-use API access for developers. Its flagship models include H-Optimus for histology and M-Optimus, a multimodal World Model that combines histology, multi-omics, and clinical data to simulate biology. Their goal is to accelerate drug discovery and precision medicine by breaking data silos and enabling researchers to extract actionable insights, with a client base that includes many of the world’s top pharmaceutical companies.

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About Bioptimus

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Industries

Data & AnalyticsEnterprise SoftwareAI & Machine LearningBiotechnology

Company Size

11-50

Company Stage

Series A

Total Funding

$76M

Headquarters

Paris, France

Founded

2023

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Funding

Total Funding

$76M

Above

Industry Average

Funded Over

2 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Above Average

Industry standards

$15M
$8.2M
$15M
$30M
$41M

Company News

Maxwell Communications
Sep 7th, 2026
The AI biotech unlocking biology to advance scientific discovery.

The AI biotech unlocking biology to advance scientific discovery. Maxwell Comms Ltd has begun working with an exciting and genuinely innovative AI biotech startup that has a revolutionary plan to build the world's most advanced AI foundation model for biology.Historically, biology has been studied in isolated silos, with researchers restricted to looking at genes, scans, or proteins separately. Bioptimus takes a radically different approach and is constructing a universal AI foundation model that connects biology at its different scales. Understanding biology across every scale - from molecules to cells, tissues, and whole organs - can deliver deeper insights than has previously been possible, helping uncover the next generation of medical and pharmaceutical breakthroughs. At the centre of the project is the construction of the world's biggest multimodal dataset of tissue samples. When completed, this global database will contain 100,000 specimens - twenty times larger than any existing archive. To achieve this goal, Bioptimus is working with a network of research institutions and clinical partners, including leading cancer research organisations in US, France and the UK - with each agreement deepening its multimodal biology model in both geography and in scale. And there's more exciting news - and coverage - about Bioptimus due in the coming months.

MobiHealthNews
Aug 20th, 2026
Bioptimus, Cancer Research Horizons partner on AI cancer model.

Bioptimus, Cancer Research Horizons partner on AI cancer model. The partnership gives Bioptimus access to data from more than 1,750 colorectal cancer patients to train and evaluate its M-Optimus biological foundation model. By Nathan Eddy | August 20, 2026 | 3:19 PM Paris-based AI biotech company Bioptimus has partnered with Cancer Research Horizons, the innovation arm of Cancer Research UK, to expand the data used to train and evaluate its biological foundation model. The agreement gives Bioptimus access to Stratification in Colorectal Cancer Trial (S:CORT), a multimodal colorectal cancer dataset containing profiles from more than 1,750 patients. Bioptimus will incorporate the dataset into its Spatial Tissue Embedding Learning Atlas (STELA) initiative. The S:CORT dataset represents STELA's first patient cohort from the United Kingdom and adds further geographic and clinical diversity to the project. David Cahané, cofounder and general manager at Bioptimus, told MobiHealthNews that the profiles can include hematoxylin and eosin (H&E) whole-slide images, genomic information, copy-number variation, microsatellite instability calls, RNA expression, DNA methylation, immunohistochemistry and clinical outcomes. The dataset also contains randomized, protocol-controlled treatment arms, which could help M-Optimus distinguish between patients with poor prognoses and those who benefit from a particular therapy. "Most real-world, outcome-linked data is observational," Cahané said. "That answers the question of who does badly, but only randomized arms answer the question of who benefits from this drug." It spans the colorectal cancer continuum, from precancerous adenomas and early invasive disease to stage two and three disease and advanced first-line treatment. "Every cohort enters through one ingestion pipeline - staged into controlled storage, quality-controlled on arrival, then mapped onto a single shared ontology," Cahané said. The approach is intended to make equivalent diseases, drugs, treatment regimens and biomarkers comparable across institutions. Bioptimus plans to test M-Optimus on entire trials it has not previously seen, validate it against independent colorectal cancer datasets and allow pharmaceutical partners to evaluate it using their own protocols and endpoints. The model will be assessed for molecular inference, prognosis and treatment-response prediction. STELA ultimately aims to profile 100,000 patient specimens through a network of research institutions and clinical partners. The resulting atlas will link tissue imaging, spatial biology, molecular information and clinical outcomes. THE LARGER TREND Bioptimus was founded by former Google DeepMind and Owkin scientists. The company launched in 2024 with $35 million in seed funding led by Sofinnova Partners. Life sciences companies have made a push into generative AI, with Absci, Boehringer Ingelheim, IBM and Genesis applying the technology to drug discovery. Bioptimus launched STELA in March alongside 10x Genomics and Broad Clinical Laboratories. The initiative initially focused on oncology and immunology and was designed to generate standardized data across research institutions in the United States, Europe and Asia. In June, the company partnered with the Fédération Francophone de Cancérologie Digestive, gaining access to clinical trial data from more than 3,000 gastrointestinal cancer patients, making the Cancer Research Horizons agreement Bioptimus' third STELA partnership in five months. Cahané said adding an NHS-treated population broadens STELA's outcome-linked data beyond cohorts from continental Europe and the United States, noting competitive biological AI requires both stronger model design and more data spanning different populations and modalities. "Cancer Research UK spent two decades collecting it," Cahané said. "That's why this partnership matters." HIMSS is hosting the one-day AI Executive Leadership Summit in San Diego on Oct. 21, 2026, followed by its AI in Healthcare Forum Oct. 22-23. Register separately for the two events here and here. WATCH NOW: CIO Spotlight: Earl Shaw of Renaissance Benefits

University of Białystok
Aug 16th, 2026
AI textbooks are already being used by 70,000 students.

AI textbooks are already being used by 70,000 students. August 16, 2026 The impact of generative AI in education: Pearson's AI textbooks in action. Hello and welcome to Eye on AI! Generative AI has been making waves across various sectors, but one area where it has caused quite a stir is in education. Since the introduction of ChatGPT in late 2022, educators have been grappling with the decision of whether to embrace or ban the technology in schools. The idea of students being able to outsource their writing and even their thinking to chatbots has raised concerns about the future of learning. One significant development in the education sector is the integration of generative AI into textbooks by leading company Pearson. They have equipped 50 science titles with AI study tools, allowing 70,000 students in over 1,000 institutions to benefit from this technology. The AI capabilities in these textbooks come in the form of a chatbot for answering questions and generative AI-powered practice questions to help students understand concepts better. Having had the opportunity to test this technology with the Intro to Biology textbook, I found it to be effective in enhancing learning. Students using AI-equipped textbooks have shown nearly double the engagement compared to traditional textbooks. Pearson plans to expand this technology to more titles and ensure that every textbook they produce is AI-equipped. The technology is built on ChatGPT and uses a RAG-based approach to retrieve information from the textbooks. While there are concerns about hallucinations, Pearson has worked to minimize these issues. They are also exploring ways to improve and fine-tune the models for better learning outcomes. Pearson's initiative to integrate generative AI into textbooks is a step towards enhancing the learning experience for students. By providing AI tools within the textbooks, students can access assistance in real-time without having to leave the context of their study material. This approach aims to create a powerful learning experience and track the student's learning journey over time. In addition to Pearson's efforts, the AI landscape is evolving rapidly with companies like Microsoft, Apple, Anthropic, and Bioptimus making significant advancements in AI technology for various applications. The AI revolution is in full swing, and it's exciting to see how these innovations will shape the future. Stay tuned for more updates on the latest in AI technology and its impact on various industries. Sage Lazzaro [email protected] sagelazzaro.com AI IN THE NEWS - Microsoft and Apple won't hold observer seats on OpenAI's board - Anthropic launches new features to help Claude users engineer better prompts - Bioptimus unveils a supersized open-source AI model for disease research and diagnosis FORTUNE ON AI - The European VC wunderkind behind Mistral, Revolut and Slack just raised $2.3 billion - Knowledge workers expect AI to save them 4 hours a week - Intuit is laying off employees as AI leads to a strategic shift AI CALENDAR - Fortune Brainstorm Tech in Park City, Utah - International Conference on Machine Learning (ICML) in Vienna, Austria - Google and Meta earnings announcements - Fortune Brainstorm AI Singapore - Ai4 2024 in Las Vegas EYE ON AI NUMBERS - Google reports a 48% increase in emissions due to AI investments - Microsoft buys carbon credits to offset its carbon emissions from AI The AI landscape is evolving rapidly, and it's crucial to stay informed about the latest developments in this field. Keep an eye on Eye on AI for more updates and insights into the world of artificial intelligence.

Noah Business Intelligence
Jul 8th, 2026
Bioptimus raises $76M to build multimodal AI 'world model' for biology

French AI startup Bioptimus has raised over $76 million to build an integrated system connecting pathology, genomics and clinical data. The Paris-based company secured $35 million in February 2024 and a further $41 million in January, and now employs around 35 people. Bioptimus has developed H-Optimus-0 and H-Optimus-1, pathology models trained on images from over one million slides. In April, it launched M-Optimus, a multimodal model combining tissue slides with RNA sequencing data to predict spatial gene expression. The company is building STELA, a spatial biology atlas with 10x Genomics and Broad Clinical Labs, using data from up to 100,000 patient specimens across the US, Europe and Asia. Bioptimus says 16 of the world's top 20 pharmaceutical companies already use its tools.

Newswire
Mar 25th, 2026
Bioptimus announces STELA: the world's largest clinically linked spatial biology atlas, alongside key partners 10x Genomics and Broad Clinical Labs.

Bioptimus announces STELA: the world's largest clinically linked spatial biology atlas, alongside key partners 10x Genomics and Broad Clinical Labs. Mar 25, 2026, 07:00 ET The global initiative aims to profile up to 100,000 patient specimens to scale M-Optimus, the world model of biology, representing a ~20x increase in scale over existing data available in the world today * The Launch of STELA: Bioptimus is establishing the largest clinically linked multimodal atlas, starting in oncology and immunology tissue, designed to generate harmonized multi-omics patient data. * A Strategic Partnership with 10x Genomics: Leveraging the Xenium spatial transcriptomics platform as the foundational partner for the launch, the initiative sets a new benchmark for reproducible, AI-ready data generation across leading research institutions worldwide. * A Strategic Partnership with the Broad Clinical Labs: A multi-year agreement with Broad Clinical Laboratories to support STELA via the generation of spatial biology data at scale. * Profiling Up to 100,000 Patient Specimens: Representing a ~20-fold increase in scale over existing spatial biology atlases, STELA will integrate spatial technologies, pathology imaging, multi-omics, and longitudinal clinical data across three continents. PARIS, March 25, 2026 /CNW/ - Bioptimus, a global AI company building the world's first world model for biology, today announced the launch of its Spatial Tissue Embedding Learning Atlas (STELA), a multinational spatial data generation initiative anchored by a partnership with 10x Genomics, Inc. (Nasdaq: TXG) and Broad Clinical Labs. While foundation models for language have thrived on vast digital datasets, biology has long lacked the standardized, high-quality data scale required for a similar breakthrough, particularly for clinical data; Bioptimus is closing this gap by building the data infrastructure necessary to power M-Optimus, the first multimodal and multiscale world model of biology. STELA will serve as the data backbone for M-Optimus, generating massive datasets designed to decrypt the complex organization of human tissues. M-Optimus will leverage this massive multimodal repository to map how molecular and cellular interactions drive disease in fields like oncology and inflammation, ultimately allowing researchers to anticipate patient responses to novel therapies, accelerate drug development, and design more effective immunotherapies. Starting with 10x Genomics" Xenium spatial transcriptomics and designed to integrate additional spatial and molecular profiling technologies over time, STELA will generate harmonized datasets, integrating: high-resolution spatial transcriptomics, matched histopathology imaging, multi-omics data (e.g., genomics, transcriptomics and proteomics), with longitudinal clinical records. The initiative aims to profile up to 100,000 patient tissue specimens across three continents: the United States, Europe, and Asia, establishing the world's largest clinically linked, spatially profiled, multimodal patient data atlas. Participating hospitals and research institutions will contribute samples under standardized protocols and, in return, receive access to rich spatial characterization and foundation model capabilities. This collaboration empowers clinicians to turn raw data into actionable insights through more precise diagnostic and therapeutic strategies. By aligning data generation protocols, data processing and storage, and AI model development within a unified framework at a diverse, global scale, STELA establishes foundational infrastructure for the next era of biological AI. "Today, most patients' diagnostic data is used to inform decisions for only that individual. We envision a world where every patient can contribute insights to better inform the care and treatment outcomes of future patients; just as patients with other diseases, other heritage and even from the past are informing their treatment," said Jean Philippe Vert, PhD, Co-Founder and CEO of Bioptimus. "STELA is the fuel to power M-Optimus, allowing us to map the intricate interactions between cells and tissues, across indications, at unprecedented scales, unlocking a new era of precision medicine." Industry-Shaping Partnerships The collaboration between Bioptimus and 10x Genomics aligns advanced spatial biology technologies with large-scale AI foundation model development, bringing together complementary capabilities to reshape how biomedical data is generated and applied. Using the Xenium platform, STELA will generate highly standardized spatial datasets across participating institutions worldwide, enabling the large-scale, reproducible data generation required for large-scale AI model development. "Many of the most important questions in medicine come down to understanding how cells interact within complex human tissues," said Serge Saxonov, Chief Executive Officer and Co-founder of 10x Genomics. "By enabling spatial profiling at unprecedented scale, STELA will generate foundational datasets that allow researchers to connect the underlying biology with disease outcomes, unlocking new insights that can accelerate and improve therapeutic discovery and development." Bioptimus will anchor its STELA initiative through a landmark collaboration with the Broad Clinical Laboratories, bridging industrial-scale data generation with frontier AI research. This partnership leverages Broad's high-throughput spatial biology capabilities to process biological samples at scale, creating a massive-scale repository of high-resolution spatial transcriptomics data. Beyond data production, the two organizations will co-develop next-generation, AI-driven quality control metrics and predictive tools designed to optimize assay performance and automate biological insights. By integrating Bioptimus's proprietary AI models with Broad's world leading laboratory workflows, this collaboration ensures that the STELA initiative is built on a foundation of unprecedented technical precision, accelerating the development of transformative AI models for the life sciences. "To unlock the true clinical potential of spatial biology, we must pair massive-scale data generation with uncompromising data quality," Niall Lennon, Chief Scientific Officer of Broad Clinical Labs added. "By combining our high-throughput laboratory workflows with Bioptimus's advanced AI, we are co-developing next-generation quality control metrics that ensure the highest data integrity. This unprecedented technical precision guarantees that the insights generated by STELA can be confidently translated into actionable clinical diagnostics and precision therapies." About Bioptimus Bioptimus is a global AI biotech company pioneering the world's first universal foundation model for biology. By combining cutting-edge AI with massive, multimodal, proprietary data generation, Bioptimus is building a unifying framework that connects all scales of biology, from molecules to patients, delivering interpretable, dynamic, and actionable insights. M-Optimus-1 represents the first World Model of Biology. H-Optimus, the foundation model of human histology has over 1 million downloads, and is an industry-leading model being adopted across research, drug discovery, and clinical pipelines. Bioptimus models are in use by 16 of the top 20 pharmaceutical companies. Media Contact: About 10x Genomics 10x Genomics is a life science technology company building products to accelerate the mastery of biology and advance human health. Our integrated research solutions include instruments, consumables and software for single cell and spatial biology, which help academic and translational researchers and biopharmaceutical companies understand biological systems at a resolution and scale that matches the complexity of biology. Our products are behind breakthroughs in oncology, immunology, neuroscience and more, fueling powerful discoveries that are transforming the world's understanding of health and disease. To learn more, visit 10xgenomics.com or connect with us on LinkedIn, X, Facebook, Bluesky or YouTube. SOURCE Bioptimus

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