Health Force, a Barcelona-based HealthTech startup building enterprise-grade AI agents for hospital operations, has raised €4.2 million in seed funding. The round was led by LUMO Labs, with participation from Step Venture, Next Tier Ventures, Target Global and Calm/Storm. The company plans to use the capital to expand its catalogue of AI agents, enter new European markets and grow its delivery teams.
Founding Team and Strategic Focus
Health Force was founded in Vienna in 2022 by Fadi Haddad and Dr. Juan Suárez, and is now headquartered in Barcelona with an operations hub in Milan. Haddad previously led business development at Medicus.ai, while Suárez is a doctor and data engineer who served as Chief Data Officer at Teladoc France. The founders designed the platform to address a recurring structural problem in European healthcare: hospital software frequently lacks APIs and legacy integration remains genuinely difficult.
Addressing Europe’s Hospital Operations Gap
Hospitals across Europe face rising demand for care while operational staff become increasingly difficult to hire, creating backlogs and delays in administrative processes. Health Force aims to close this gap with AI agents that work alongside hospital operations teams and autonomously manage end-to-end workflows under human supervision. The company positions its technology as the operations layer for Europe’s hospitals, focusing on repetitive tasks that can be automated securely and reliably.
A Deployment Model Built for Legacy Systems
Rather than requiring new technical integrations, Health Force agents log into existing hospital systems using their own computers and credentials. The pre-trained agents sign in to the software hospitals already use, complete operational work end-to-end, and can be deployed within six weeks without APIs or complex integrations. Co-founder and CEO Fadi Haddad said hospitals do not need another dashboard; they need the work done, which is why the platform focuses on completing real tasks rather than adding another interface.
Proven Results in European Hospitals
Health Force currently operates across leading Italian hospital groups including Humanitas and Gruppo San Donato, handling more than 200,000 patient cases each year. The technology runs hospital-insurance operations end-to-end, completing prior-authorisation checks, claims processing, regulatory reporting and other administrative tasks. Three out of four cases are completed without human involvement, while the remaining case is prepared by an agent and handed to staff with exactly what needs checking.
Expansion Plans and Market Ambition
With the new funding, Health Force plans to grow from eight to sixteen employees and expand into Germany, France and Spain. The company will develop additional agents for quality reporting, clinical-trial operations and resource optimisation, while hiring local teams that pair deployment strategists with engineers. Its platform is already used for hospital quality reporting in Portugal, demonstrating applicability beyond insurance claims processing.
Investor Confidence in a Complex Market
Jorge Blasco, Partner at LUMO Labs, said hospitals are looking for ways to improve efficiency without placing strain on their teams, and Health Force has built a strong foundation for scale. Peter Roos, Partner and CFO at Target Global, added that the team achieved what many considered impossible by automating hospital operations inside Europe’s most complex legacy systems. The global market for AI in hospital operations is projected to grow from $7.51 billion in 2025 to $25.70 billion by 2030.
Health Force’s seed round reflects growing investor appetite for practical AI applications that resolve operational bottlenecks rather than add another software interface. By focusing exclusively on European hospitals and avoiding the US market, the company is concentrating resources on complex legacy environments where it has already demonstrated traction. The funding positions Health Force to pursue its ambition of becoming Europe’s leading provider of AI for hospital operations.