See-Mode, a medtech startup based in Singapore, has raised a total of US$1 million led by Cocoon Capital, also from Singapore. SGInnovate and Australia-based Blackbird Ventures join the round.
“We in particular invested in the multidisciplinary background of the See-Mode team and how they came up with a solution that is already creating strong interest in all corners of the world,” said Will Klippgen, Managing Partner at Cocoon Capital, who recently joined See-Mode’s board of directors.
Inspired by the fact that stroke has been the second leading cause of death — and the main leading cause in preventable disability — Dr. Milad Mohammadzadeh and Dr. Sadaf Monajemi co-founded See-Mode in 2017. Both founders have PhDs in biomedical engineering.
See-Mode uses AI, computer vision, and computational modeling that is turned into a medical software to equip clinicians in predicting and preemptively treating stroke in patients.
See-Mode believes its method can help clinicians to save time, objectively interpret ultrasound images, and assess blood flow patterns in patients based on a routine CT scan or MRIs. It will help doctors to detect vulnerable plaques, setting the precedence for creating better stroke screening and treatment planning, something that is currently unaccessible in clinical practice.
Its treatment planning mostly relies on tracking conventional risk factors of stroke that has a whopping number of 15 million sufferers in the world, with one-third of victims ending up dead or permanently disabled.
In Singapore, See-Mode collaborates with the likes of National University Hospital, Changi General Hospital, and the National Neuroscience Institute of Singapore. The company is also starting a multi-centre clinical study with leading hospitals in Australia and USA.
See-Mode was an alumnus of Singapore-based talent investor Entrepreneur First.
Regarding the innovation the company brings, Niki Scevak, Partner at Blackbird Ventures said that See-Mode’s technology essentially presents a new world where the collective intelligence of the medical community can be employed systematically via computers on every patient whose life has been affected by a stroke.
Image Credit: Entrepreneurs First