Carefam raises $10.5 million to automate healthcare hiring
The AI startup deploys conversational agents to address staffing shortages and HR bottlenecks in hospitals and care facilities.
Carefam has raised $10.5 million as it aims to tackle one of healthcare’s most persistent challenges: staffing in an industry grappling with high turnover and mounting administrative strain. The company, co-founded by CEO Matan Hoffmann and CTO Eyal Shulman, deploys conversational AI agents purpose-built for healthcare human resources, streamlining recruitment and clinician engagement across hospitals, long-term care facilities, and home care providers. Carefam took its total funding to $14 million after previously raising $4 million in July 2023.
Carefam’s platform automates the coordination work that often delays recruitment, ensuring candidates are engaged immediately while escalating high-stakes or complex decisions to human staff.
“The shortage of healthcare workers today is an infrastructure problem and will continue to worsen if things remain the same,” Hoffmann said. “HR teams are drowning in administrative noise and often miss qualified candidates simply because they can’t respond fast enough. The same challenges affect retention. Carefam acts as an always-on operational layer that keeps hiring processes moving and employees engaged.”
Unlike general-purpose AI tools, Carefam is vertically integrated into healthcare HR workflows, supporting end-to-end clinician engagement from initial outreach and credential screening to interview scheduling and onboarding. By reducing administrative burden and accelerating the hiring cycle, the platform allows HR teams to focus on the most critical human decisions while AI agents handle routine coordination.
Founded two years ago, Carefam has already deployed its platform across hundreds of healthcare organizations. With the new funding, the company plans to expand its reach further, supporting hospitals and care networks in deploying AI agents that combine operational scale with domain-specific understanding.
