Singapore health-tech firm See-Mode raises $1m from Cocoon Capital, others

Medical equipment in an operating theatre

Singapore-based See-Mode Technologies, a medical imaging startup that provides stroke prediction and treatment planning, has raised $1 million in a seed financing round led by Cocoon Capital, SG Innovate and Australia-based Blackbird Ventures.

See-Mode uses artificial intelligence and computational modeling in creating a set of tools for medical professionals to use for the diagnosis of a person’s risk of stroke.

The team is working towards improving clinical outcomes relating to stroke for patients around the world.

Founded in 2017 by Dr Milad Mohammadzadeh and Dr Sadaf Monajemi, both biomedical engineering PhDs, the company is developing a suite of medical software based on the team’s proprietary mix of technology.

See-Mode is an alumnus of venture builder Entrepreneur First in Singapore, which put in seed capital in the startup in early 2018.

“See-Mode is a perfect example of how artificial intelligence is driving next-generation healthcare that will lead to a drastic increase in life expectancy alongside significantly reduced treatment costs,” said Will Klippgen, managing partner at Cocoon Capital.

Last year, Cocoon Capital launched a $20-million fund to invest in early stage startups in Southeast Asia, engaged in deep-tech, fintech and med-tech sectors.

See-Mode is undergoing clinical collaborations in Singapore with hospitals like the National University Hospital, Changi General Hospital and the National neuroscience Institute of Singapore. The company is also starting a multi clinical study with hospitals in Australia and U.S.

AI is changing the way of practice in the medical industry. Better prediction can be made using AI in identifying possible diseases such as using smart image-capturing system to identify causes for wounds and diseases like skin cancer and even to design new drugs. Singapore also takes a leading position in working and making investments in AI-enabled medical technologies.

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