AI serving clinicians to predict stroke
Harnessing the power of deep learning and computational modelling, See-Mode enables doctors to obtain critical risk factors of stroke from medical images.
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Meet our first product
AVA / Augmented Vascular Analysis
World-first AI software for analysis and reporting of vascular ultrasound
  • Accurate automated analysis and reporting
  • Fast, no manual drawings needed
  • Seamless integration with your workflow
  • Secure, certified and regulatory approved
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Regulatory Approved.
FDA 510(k) cleared and approved by Singapore’s Health Sciences Authority as a Class B medical device. Pending CE approval.
In collaboration with renowned clinicians
Prof. Bruce Campbell
Neurologist and Head of Stroke at Royal Melbourne Hospital
Prof. Vincent Thijs
Neurologist and Head of Stroke at Austin Health, Co-Head of Stroke at Florey
Prof. Leonard Yeo
Interventional Neurologist  at National University Hospital, Singapore
Dr. Amine Korchi
Neuroradiologist, Réseau Radiologique Romand SA, Switzerland
Prof. Ruth Lim
Radiologist at Austin Health, Professor at University of Melbourne
Dr Leonard Yeo
Stroke Neurologist
National University Hospital
Dr Amine Korchi
Neuroradiologist
Prof. Vijay Sharma
Stroke Neurologist
Prof. Bruce Campbell
Head of Stoke, RMH
Prof. Leonard Yeo
Interventional Neurologist
Prof. Vincent Thijs
Head of Stroke Florey
Inst. & Austin Health
Backed by leading investors
We’re building the future of stroke care, in partnership with leading healthcare institutions
Under clinical validation
Detecting high-risk plaques in ultrasound and CT
Under clinical validation
Detecting high-risk blood flow patterns in CT and MRI