Flok Health Secures $12.5 Million for Autonomous AI Physiotherapy

Flok Health, a digital care platform leveraging artificial intelligence for physiotherapy management, has announced the completion of an oversubscribed Series A funding round, raising $12.5 million. The round was led by Albion VC, with participation from existing investors Eka VC and Form Ventures, as well as new investor Mercia Ventures.

These funds are earmarked to support the expansion of Flok's AI-operated physiotherapy services across the UK, the development of new clinical pathways, and entry into international markets. The aim is to address the growing demand for musculoskeletal (MSK) services amidst limited clinical capacity and long waiting lists, issues that hinder timely access to care.

The Platform and its NHS Adoption

Founded by former medic and athlete Finn Stevenson, technologist Ric da Silva, and a team of physiotherapy and AI specialists, Flok Health has developed an AI-operated digital physiotherapy clinic for musculoskeletal care, delivered via a mobile application. The platform simulates a live consultation experience using real footage of a physiotherapist and responds in real-time to a patient’s inputs during an appointment.

The company states that its platform is capable of autonomously delivering complete physiotherapy care pathways without clinician oversight. Flok is approved as a healthcare provider by the UK’s Care Quality Commission and has received Class IIa medical device certification for the autonomous delivery of full care pathways. The service is currently available to more than 2.4 million NHS patients across eleven regions in the UK, providing on-demand access to back pain treatment without waiting lists.

Impact and Future Outlook

According to the company, deployments within the NHS have reduced waiting lists while helping healthcare providers save clinical time and resources. During a recent NHS rollout, over 80 percent of patients reported that the AI clinic was as good as or better than traditional in-person physiotherapy. The same deployment generated significant clinical time savings, allowing clinicians to focus on patients requiring more complex care.

Finn Stevenson, co-founder and CEO of Flok Health, commented that the most fundamental problem in healthcare today is the supply-demand mismatch. He emphasized that AI represents a generational opportunity to close this gap and ensure that anyone, anywhere, can get the best possible care. Flok plans to use the funding to scale its current back pain service and launch new AI-managed pathways for hip and knee pain, as well as women’s pelvic health conditions. These services address some of the highest-demand treatment areas within the NHS, significantly expanding the scope of conditions manageable through the company’s platform.

Technological and Strategic Considerations

The application of artificial intelligence in healthcare contexts, as demonstrated by Flok Health, highlights the transformative potential of these technologies in improving care efficiency and accessibility. The ability to autonomously deliver care pathways, supported by medical certifications, opens new frontiers for managing chronic conditions and reducing the burden on traditional healthcare systems.

For healthcare organizations, managing sensitive data and regulatory compliance (such as GDPR) are absolute priorities. This makes self-hosted or hybrid solutions particularly attractive for AI workloads, offering greater control over data sovereignty and security. Although the source does not specify Flok Health's deployment architecture, the use of AI in such a sensitive context naturally raises these considerations. AI-RADAR, for example, offers analytical frameworks on /llm-onpremise to evaluate the trade-offs between costs, control, and performance in on-premise deployment scenarios.