Paris has quietly but decisively positioned itself as one of Europe’s most important health-tech hubs. Long overshadowed by London and Berlin in startup conversations, the French capital is now producing companies that sit at the intersection of artificial intelligence, biotech, digital health infrastructure, and medical devices. This shift is not accidental. France’s deep clinical research base, strong public healthcare system, and increasing venture capital inflows have created fertile ground for startups tackling some of healthcare’s hardest problems: diagnosis at scale, administrative overload, fragmented data, and the rising cost of care.
Below are 10 Paris-based health-tech startups that best illustrate how technology is reshaping healthcare and not in theory, but in production.
Owkin: Turning Medical Data Into Drug Discovery Infrastructure
Owkin is often described as an AI biotech company, but in practice it is building infrastructure for data-driven medicine. The startup uses machine learning to analyze clinical, genomic, and imaging data, helping pharmaceutical companies and research institutions identify new drug targets and biomarkers. What sets Owkin apart is scale. Its federated learning approach allows hospitals to collaborate on research without sharing raw patient data a critical advantage in privacy-sensitive healthcare environments. Now valued at over $1 billion, Owkin represents Paris’ strongest claim to global biotech relevance.
Why it matters: Drug discovery timelines are long and expensive. Owkin’s models aim to shorten both.
Alan: A Health Insurance Company Built Like a Tech Product
Alan approached health insurance with a software mindset. Its platform combines coverage, care navigation, mental health support, and preventive services in a single digital experience. Rather than positioning itself purely as an insurer, Alan functions more like a health operating system for employees and companies. Its expansion across Europe reflects growing demand for integrated, digital-first healthcare services especially in hybrid and remote work environments.
Why it matters: Insurance is becoming a gateway to continuous healthcare, not just reimbursement.
Nabla: Using AI to Eliminate Clinical Paperwork
Nabla builds AI assistants that listen during medical consultations and automatically generate clinical notes. The goal is simple: reduce the time doctors spend typing and clicking, and increase the time spent with patients. The company’s technology is already deployed in hospitals and clinics, particularly in the U.S. and Europe. As healthcare systems struggle with burnout and staff shortages, Nabla’s value proposition is increasingly compelling.
Why it matters: Administrative overload is a systemic healthcare problem automation is one of the few scalable solutions.
BioSerenity: Wearable Tech Moves From Fitness to Medicine
BioSerenity designs connected medical wearables embedded into clothing. These devices continuously capture physiological signals, enabling real-world monitoring of conditions such as epilepsy, sleep disorders, and cardiac issuesUnlike consumer wearables, BioSerenity’s products are designed for clinical use and research environments. The company sits at a critical junction where sensor technology, data analytics, and regulated healthcare intersect.
Why it matters: Continuous monitoring could replace episodic diagnosis.
Raidium: Foundational AI for Medical Imaging
Website: (varies by region)
Raidium is focused on building foundational AI models for 3D medical imaging, including CT and MRI scans. Instead of point solutions, the startup aims to create models that can support multiple diagnostic and research applications. This approach mirrors trends seen in large language models but applied to radiology. If successful, Raidium’s technology could become a core layer in imaging software stacks used by hospitals and research institutions.
Why it matters: Imaging data is underutilized AI could unlock its full diagnostic value.
Epigene Labs: AI Meets Genomics in Cancer Research
Epigene Labs applies machine learning to epigenetic data, focusing on DNA methylation patterns to improve cancer detection and drug discovery. Its platform enables pharmaceutical companies to identify biomarkers with higher precision. The startup exemplifies a broader trend in health-tech: AI moving deeper into biological complexity, rather than staying at surface-level analytics.
Why it matters: Precision oncology depends on better biological interpretation, not just more data.
Lifen: Fixing Healthcare’s Data Plumbing
Lifen operates behind the scenes, providing secure digital infrastructure for hospitals, labs, and healthcare providers. Its tools help digitize workflows, exchange medical documents, and improve interoperability across fragmented systems. While less visible than AI startups, companies like Lifen are essential to healthcare modernization. Without reliable data flows, advanced analytics and AI applications cannot function effectively.
Why it matters: Infrastructure determines what innovation is possible.
DentalMonitoring: AI Expands Beyond Hospitals
DentalMonitoring uses AI and smartphone imaging to allow dentists and orthodontists to remotely monitor patients. The technology reduces unnecessary visits while enabling early detection of complications. The company has scaled internationally, demonstrating that AI-driven healthcare doesn’t have to stay confined to hospitals or specialized clinics.
Why it matters: Remote monitoring is becoming standard, not optional.
Tilak Healthcare: Digital Therapeutics for Eye Care
Website: (listed via startup platforms)
Tilak Healthcare focuses on ophthalmology, developing digital tools that support patients with chronic eye conditions. Its solutions aim to improve adherence to treatment and provide clinicians with continuous patient data. As digital therapeutics gain regulatory recognition, niche platforms like Tilak highlight how specialized health-tech can deliver targeted impact.
Why it matters: Chronic care needs long-term digital engagement.
Tribun Health: Software for the Pathology Lab
Website: (available via partnerships)
Tribun Health builds digital pathology platforms that help laboratories manage and analyze diagnostic data. Its software integrates with AI tools, enabling faster workflows and improved diagnostic accuracy. Pathology is often overlooked in health-tech discussions, but it plays a critical role in diagnosis and treatment decisions.
Why it matters: Diagnostic bottlenecks affect the entire care chain.
Why Paris’ Health-Tech Ecosystem Is Gaining Momentum
Paris’ rise in health-tech reflects a convergence of factors: strong academic research, growing venture funding, supportive public policy, and increasing collaboration between hospitals and startups. As healthcare systems across Europe face cost pressures and workforce shortages, technology is no longer optional. The startups emerging from Paris suggest that the city is not just participating in this transformation it is helping define it.
Paris as a Global Health-Tech Powerhouse
The success of these startups reflects more than individual innovation it signals a broader transformation of Paris into a global health-tech hub. With strong government support, access to elite research institutions, and a rapidly maturing startup ecosystem, the city continues to attract top talent and international investors. As healthcare systems worldwide seek smarter, more efficient solutions, Paris-based health-tech startups are proving that innovation and impact can go hand in hand.