ArcaScience Raises $7M to Expand AI Platform Transforming Biomedical Data for Drug Development
French startup ArcaScience raised $7M to grow its AI platform that turns vast biomedical data into drug development insights. The funding supports expansion into the U.S. and U.K. markets.

ArcaScience Raises $7M to Expand AI-Driven Drug Development Platform
September 3, 2025, 11:06 am IDT
French healthtech startup ArcaScience has secured $7 million in seed funding to grow its AI platform that converts massive biomedical datasets into actionable benefit-risk insights for drug development. The funding round was led by Moon Venture and aims to support the platform’s expansion into the U.S. and U.K. markets.
Transforming Biomedical Data into Clear Insights
Founded in 2018, ArcaScience tackles a major challenge in drug development: underused biomedical data. According to estimates, up to 90% of valuable data remains untapped during drug research. ArcaScience’s solution integrates over 100 billion data points, using specialized AI models to extract critical indicators such as adverse events and biomarkers from diverse data sources.
Pharmaceutical giants like Sanofi and AstraZeneca already leverage ArcaScience’s platform to optimize clinical operations and pharmacovigilance processes, improving decision-making and safety monitoring throughout drug development.
Funding to Accelerate Innovation and Leadership
The new capital injection will also support the creation of a patient-facing application focused on pediatric brain cancer and dermatological conditions. Additionally, ArcaScience plans to hire a chief medical officer to strengthen its healthtech leadership team.
This move places ArcaScience among other AI-driven drug discovery companies like BenevolentAI and Recursion Pharmaceuticals that are applying advanced AI models to accelerate pharmaceutical research.
Why IT and Development Professionals Should Watch This Space
- ArcaScience’s platform demonstrates how large-scale biomedical data can be federated and processed using AI to deliver actionable insights.
- The integration of over 100 billion data points highlights the importance of scalable data processing pipelines and specialized AI algorithms.
- The expansion into new markets signals growing demand for AI-driven solutions in drug development, opening opportunities for IT professionals skilled in AI, data engineering, and healthcare technologies.
For those interested in advancing AI skills applicable to healthcare and drug discovery, exploring specialized courses on AI applications and biomedical data can be a practical step.