Jutro Medical, a Warsaw-based AI-first primary care provider, has secured €12 million in Series A funding to further develop its medical AI agents and expand its services in Europe, particularly in Poland and the Netherlands. The company, founded in 2020 by Adam Janczewski, integrates artificial intelligence into primary healthcare to improve patient interactions and streamline medical processes. The latest funding round was led by KAYA VC and RIO ASI, with additional support from existing investor Inovo VC and a debt component from mBank. This investment comes as AI-driven healthcare solutions gain traction in Europe, with various companies exploring new approaches to enhance efficiency in medical services.
Jutro Medical has previously received funding to develop its AI-driven healthcare model, but this latest round significantly increases resources for expansion. Compared to earlier investments, the company has made notable progress in implementing AI-based workflows, handling a higher percentage of primary care cases with automated agents. This funding also enables a more aggressive expansion strategy beyond Poland, marking Jutro Medical’s first move into Western Europe. While other startups have attempted similar AI-driven healthcare models, Jutro Medical’s fully integrated approach distinguishes it from competitors.
How Does Jutro Medical Use AI in Healthcare?
Jutro Medical employs AI agents to assist in medical consultations by collecting patient information, documenting visits, and optimizing doctor-patient interactions. These AI-driven tools handle over 68% of cases, reducing consultation times to an average of 2 minutes and 37 seconds in routine cases. The AI operates within a proprietary electronic health record system designed for secure data management. While AI gathers and organizes medical information, doctors maintain full authority over medical decisions, ensuring patient care remains under professional supervision.
CEO Adam Janczewski explained the company’s approach,
“We’ve been dissecting these processes and turning them into skills that we can teach AI agents, so they can handle them end-to-end, shifting all operational tasks and red tape from human to AI.”
The company initially relied on human agents to conduct intake interviews, gradually transitioning these tasks to AI systems after refining their processes.
What Are the Expansion Plans?
With the new funding, Jutro Medical plans to open its first physical clinic in the Netherlands while continuing to grow its presence in Poland. The company aims to serve 350,000 patients within the next two years. To support this expansion, Jutro Medical has reinforced its leadership team by bringing in experienced healthcare executives. These executives have collectively managed hundreds of clinics and contributed significantly to primary healthcare revenues in past roles.
Karel Zheng, Partner at KAYA VC, commented on Jutro Medical’s growth,
“AI will benefit incumbents, and Adam has positioned Jutro Medical to capture maximum value as the technology matures.”
The company’s strategic focus remains on refining its AI technology while broadening its geographical reach.
The adoption of AI in healthcare continues to generate discussions around efficiency and patient outcomes. Jutro Medical provides an example of how AI can reduce administrative burdens on doctors while maintaining direct supervision over medical decisions. AI-driven models in healthcare are still evolving, and their effectiveness varies based on implementation and regulatory compliance. While Jutro Medical’s approach has streamlined primary care consultations, patient preference for AI-assisted medical services remains a key consideration.
As healthcare providers explore AI integration, data security and patient trust remain central concerns. Jutro Medical ensures that its AI systems operate within a secure framework, preventing data breaches or unauthorized access. The company offers patients the choice to opt out of AI-assisted consultations, ensuring flexibility in how they receive medical care. The future success of AI-based healthcare models will depend on their ability to balance automation with personalized medical attention.
