Geneva PE Announces Funding and Launch of NXXIM
Geneva PE’s funding of NXXIM will create a cutting-edge AI platform that unifies affected person knowledge and empowers clinicians to make sooner selections, with pilot deployments in 2026.
Geneva PE LLC (Geneva PE), a number one medtech-focused funding agency, in the present day introduced that it has funded and formally launched NXXIM, a next-generation AI-powered enterprise medical imaging platform.
NXXIM is designed to seamlessly combine all obtainable affected person knowledge, together with radiology photographs, pathology slides, lab outcomes, EHR information, and genomic data, right into a unified, real-time diagnostic workspace. By combining superior multimodal AI with proprietary workflow orchestration, the platform allows fast triage, exact determination help, and considerably sooner time-to-diagnosis for radiologists, oncologists, and multidisciplinary care groups. This built-in method addresses the long-standing fragmentation seen throughout imaging and scientific programs, giving clinicians a extra full and rapid view of every affected person’s diagnostic journey.
To drive the corporate’s mission, NXXIM has assembled a world-class management staff of trade veterans with a long time of collective expertise in medical imaging, synthetic intelligence, knowledge integration, and healthcare IT. The firm is additional supported by a distinguished Technology and Medical Advisory Board. This mixed experience positions NXXIM to execute on advanced enterprise deployments and help the evolving wants of massive well being programs.
“NXXIM represents a basic leap ahead in diagnostic intelligence,” stated Joseph Bamberger, Managing Partner at Geneva PE. “By uniting fragmented knowledge silos with cutting-edge AI, we’re empowering clinicians to make sooner, extra assured selections that instantly enhance affected person outcomes.”
NXXIM is now in lively growth and preliminary scientific partnerships, with pilot deployments deliberate for choose medical facilities in 2026. Early collaboration discussions are centered on establishments looking for to streamline imaging workflows, cut back diagnostic delays, and modernize their current infrastructure with out disruptive system substitute.
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