We build AI Powered tools for radiologists.Equipped with Artificial Intelligence, our tools enable doctors to diagnose and fight cancer in more efficient and accurate ways.
Meanwhile the gap in care between cancer incidence and number of trained diagnostic radiologists is widening.We expect to see 25-30% more cancer by the year 2030.
Our solutionAutomated lesion detection, measurements & tracking in cancer diagnostics for radiologists.Supporting full-body CT scans, covering a broad range of cancers.Structured and standardized reporting.We give superpowers to radiologists for interpretation and reporting, striving together for efficiency through the use of new technology.
Our mission: Make cancer diagnosis more efficient to reduce suffering for all.
Meet the team
Chief Executive Officer
Serial entrepreneur, founded two successful tech companies. Involved in building products for Wise, Bolt & Playtech
Chief Operating Officer
Strong operational background in pharmaceuticals and digital health. Launched Kry/Livi secondary care service in the UK.
Chief of Medicine
President of the Estonian Radiology Society. National representative at International Atomic Energy Agency
Chief Science Officer
Publishing in Nature Methods & Cell. Leading a medical imaging research group at University of Tartu
Chief of AI Engineering
1st place in Microsoft AI for Good Idea Challenge. His 2nd medical imaging startup.
Chief Technology Officer
Leadership & product engineering at Wise & Starship. Anti-Money-Laundering & Self Driving robots
Former engineer at Capture One. Founder of a successful fitness startup.
Full-stack product engineer with 5+ years of experience building fast and sleek applications in banking and startups
20y of experience in clinical engineering with field knowledge from radiology equipment, workflow infrastructure and medical IT. Built Estonian National PACS and worked for Tartu University Hospital
Ph.D. candidate in AI for medical image analysis at University of Tartu. Built cutting-edge AI models for multinational imaging companies
5+ years in computer vision research, 2nd medical imaging startup. In HealthTech Grad program at Cornell University, NY