Malta's EBO lands Olea backing to take healthcare AI to the US
What's the deal? Malta-founded healthcare AI company EBODealroom has a profile for this one. Try Dealroom → has raised early-stage venture funding led by Olea Venture PartnersDealroom has a profile for this one. Try Dealroom →, a healthcare and life sciences investor. The money will fund EBO's expansion across Europe and into the United States.
What does EBO do? Founded and led by chief executive officer Gege Gatt, EBO builds AI-powered patient engagement and workflow automation tools for healthcare organisations. Its technology automates interactions such as appointment management, self-assessments, and patient pathway communications.
Where it operates: EBO sells commercially in Malta, the UK, Italy, and Greece, with 24 live deployments across UK NHS Trusts and hospitals.
Why Olea backed it: Founding and managing partner Harietta Eleftherochorinou said the firm was drawn to EBO's real-world deployments, citing patient adoption rates of up to 97% and customer returns on investment of up to five times.
What's the endgame? The funds will deepen adoption across healthcare systems, extend the technology to new clinical and operational workflows, and finance growth in Europe and the US. Managing partner Lampros Kourtis said EBO's next phase would centre on scaling existing operations.
Olea is expected to help EBO raise UK adoption, strengthen its presence in Southeast Europe, and enter the US, while developing healthcare partnerships and commercial strategy. Gatt called the investment a "vote of confidence" in the company.
"With Olea, we have a partner who understands that healthcare innovation succeeds through trust, evidence and disciplined execution," he said.
The signal: Olea, backed by the European Investment Fund and supported by EquiFund IIDealroom has a profile for this one. Try Dealroom →, is betting on healthcare AI that has moved past the pilot stage. As Eleftherochorinou put it, EBO has shown it can "move from promising technology to trusted, repeatable deployment in real health systems" — the gap that has stalled many AI tools in clinical settings.
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