Flexzo AI, a UK-based startup providing an agentic AI workforce system for healthcare providers, today announced the completion of a €10.3 million ($12 million) Series A funding round to support ongoing adoption across NHS Trusts and accelerate growth in the United States.
The round was led by Octopus Ventures, with participation from Fuel Ventures. Uthish Ranjan, Partner at Octopus Ventures, and Shiv Patel, Partner at Fuel Ventures, will join Flexzo AI’s board as part of the investment. Additionally, Professor Rupert Shute, a former scientific advisor to the UK Government and a Professor at Imperial College London, has been appointed as Non-Executive Chairman.
“The way healthcare organisations manage their workforce hasn’t fundamentally changed in decades. Until now. Hospitals shouldn’t be forced to rely on inefficient processes and spiralling agency costs. With Flexzo AI, we’re delivering the step change in efficiency the system urgently needs,” said Jack Henderson, CEO of Flexzo AI.
Founded in 2023 by Jack Henderson, Flexzo AI aims to tackle the ongoing issue of chronic workforce shortages and rising agency costs in healthcare. It equips NHS Trusts with AI solutions to optimise staffing. It was previously incorporated as Healsgood AI LTD.
Henderson previously managed a clinical insourcing firm providing services to NHS patients, where he directly observed how outdated processes, poor visibility, and fragmented compliance workflows complicated safe, sustainable staffing and made it more costly than necessary.
Flexzo claims to solve this problem through its model. Hospitals subscribe to the Flexzo platform to access its technology, workforce tools, and national talent pool, avoiding costly agency mark-ups. The company states that, unlike traditional agencies, it does not charge placement fees. Hospitals can directly source both temporary and permanent staff from Flexzo’s candidate pool without paying agency fees. This helps in lowering workforce supply costs.
The Flexzo platform includes several integrated hospital-specific systems, including rostering tools to optimise workforce deployment, staff bank and float pool management to maximise use of internal workers, collaborative workforce technology that connects teams across departments and sites, and a national database of pre-verified healthcare professionals ready to work.
The company also offers a product that gradually decreases the hospital’s dependence on agencies over time. Flexzo Amplify continuously enhances the supply side of the workforce. Whenever a hospital depends on an external agency, the system identifies this as a weakness in the workforce pipeline. It then automatically broadens the candidate pool by sourcing and onboarding clinicians from across the internet in real time, thereby ensuring that every agency use makes the system stronger.
The agentic capabilities of its AI-driven matching engine include identifying workforce gaps, activating the appropriate supply tier, validating compliance in real time, and routing demand to the lowest-cost, safest staffing option automatically. “The platform is designed specifically for the complexity of hospital environments, ensuring the right number and type of clinician is deployed to each area while improving visibility, compliance oversight, and operational efficiency,” the company mentioned in the press release.
Flexzo reports that at NHS partner sites, it has reduced agency spend by up to 85%, while over 65% of all shifts advertised outside a hospital’s internal workforce are successfully filled through the platform.
With the new capital, the company aims to speed up its expansion to more NHS Trusts and international partners, while enhancing its implementation capacity to meet increasing demand. Flexzo has already gained its first US-based healthcare clients. The company will keep investing in its team to broaden product features and develop its agentic AI models for related use cases and more complex clinical settings.
Read the orginal article: https://www.eu-startups.com/2026/03/uks-flexzo-ai-raises-e10-3-million-to-transform-healthcare-workforce-management-with-agentic-ai/
