ORamaVR Closes $4.5M to Expand AI-Driven Medical XR Platform
- ORamaVR raised $4.5 million in late-seed funding led by Big Pi Ventures and Evercurious VC.
- The investment will scale its CMXR training platform for medical devices and surgical robotics.
ORamaVR has secured $4.5 million in late-seed funding to expand its AI-driven extended reality platform for healthcare. The round was led by Athens-based Big Pi Ventures and Evercurious VC, with participation from existing investors including FORTH-ICS, Starttech Ventures, and angel investor Thanos Papangelis.
The company is the co-creator and leader in Computational Medical Extended Reality (CMXR), a software category that merges AI with immersive XR to address five core challenges in medicine: training, planning, navigation, rehabilitation, and therapy. Its neurosymbolic AI-based platform runs on standard hardware and is clinically proven to deliver a 32% medical skill gain and 80% error reduction in surgical, diagnostic, and therapeutic procedures, according to the company. The software has been adopted by global med-tech companies, nursing and medical schools, and training centers.
"We have spent several years bringing CMXR technology outside the research lab and into commercial software products. The new funding round will allow us to scale up our operations and deliver on commercial contracts that are already in development with leading medical hardware manufacturers," said Dr. George Papagiannakis, co-founder and CEO/CTO, in a press release. I have no doubt that XR usage will keep expanding in medical practice in the coming years, and we are uniquely positioned to lead that effort. “
The company says that the new capital will support product development and commercial scaling, with a focus on providing XR training software to manufacturers of medical devices and surgical robots.
🌀 Tom’s Take:
A platform that measurably improves skill and reduces error could raise the baseline for how healthcare professionals are trained. If it scales, it changes not just how people learn, but how safely they practice.
Source: ORamaVR
