Scopia Surgical has successfully concluded an oversubscribed pre-seed funding round, raising an impressive C$2.65 million. Prominent investment firms Linearis Ventures and Anges Québec co-led the round, with additional support from Fonds Impulsion, HaloHealth, angel investor Richard Rubin, Suresh Madan, and other notable investors.
Based in Montreal, Scopia Surgical is at the forefront of developing innovative AI-powered navigation technology specifically designed for minimally invasive and robotic surgery. This cutting-edge technology aims to revolutionize surgical procedures by providing enhanced real-time navigation capabilities.
With the newly acquired funding, Scopia plans to significantly expand its engineering and clinical teams. This increase in personnel is intended to accelerate the development of their products and facilitate initial clinical validation in hospitals across Canada and the United States.
The company’s proprietary physical AI platform integrates real-time spatial intelligence with patient-specific digital twins, alongside advanced computer vision techniques. This unique combination is set to enhance the functionality and effectiveness of existing robotic surgery systems, offering surgeons improved tools for precision and decision-making during operations.
In addition to product development, Scopia is strategically preparing for important future milestones related to regulatory approval and commercialization of their technology in the medical field. This preparation is crucial for ensuring that their innovative solutions can be successfully adopted in clinical settings, ultimately improving patient outcomes in surgical care.
KEY QUOTES:
“This round, backed by investors who have built and scaled life sciences companies, gives us the resources and expert advisory needed to bring our vision into the first clinical evaluations.”
Gabriel Rivest, CEO and Co-Founder of Scopia Surgical
“We believe Scopia could become a category-defining company.”
Manon Boisclair, Managing Partner at Linearis Ventures
