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ABOUT US

Autonomous Medical Intelligence

🇦🇪 Dubai, UAE
"Because a stroke that goes unseen is a life that goes unsaved."

We are Avyuct AI Labs, a vascular AI company based in Dubai. We have built an AI-Native DMVO solution to detect and localize these distal clots, enabling clinicians to identify challenging stroke cases faster and with greater confidence. Our product is validated by 10+ expert neuroradiologists and backed by 5 US patents.

We are now initiating hospital pilots in the UAE, and in October we release our Neurovascular World Model - the first predictive vascular AI built natively in the UAE.

LEADERSHIP

Led by Experts in AI, Medicine, and Innovation

Rajesh Aggarwal

Rajesh Aggarwal

Founder & CEO, Avyuct Inc. & Avyuct AI Labs

Founder and Chief Data Scientist with a PhD in Applied Mathematics and Parallel Computing from Columbia University. Deep expertise in AI-driven predictive modeling and anomaly detection.

Suhaib Bin Yousouf

Suhaib Bin Yousouf

Co-Founder & Lead Data Scientist, Avyuct AI Labs

Specializes in Medical AI and Computer Vision. Architect behind the Universal Vascular World Models. Holds an M.Tech from IIT Guwahati and B.Tech from NIT Warangal.

THE CHALLENGE

The Challenge We're Solving

Standard medical AI triage models frequently miss subtle distal vessel occlusions, leading to delayed interventions when every second counts for brain tissue survival.

01

Global Crisis

12M+

new strokes per year worldwide — the #2 cause of death globally.

1.9M

neurons die every 60 seconds without immediate treatment.

02

The Detection Gap

25%

of strokes are distal vessel occlusions (DMVO) frequently missed.

40%+

of DMVO cases missed by unaided emergency radiologists.

03

UAE Focus

UAE Regional Focus

In the UAE, strokes strike a decade earlier than global averages. Standard AI misses critical distal vessel occlusions, putting younger lives at risk.

OUR APPROACH

From Detection to Prediction

PHASE 01

Emergency Stroke Detection

Deep learning AI for LVO & DMVO detection with unmatched sensitivity at the point of care.

Launched

PHASE 02

Predictive Vascular Intelligence

JEPA-based world model for pre-disease prediction - shifting from reactive diagnosis to proactive risk forecasting.

Ongoing

“We're not just reacting to emergencies - we're predicting them. The future of medicine is proactive, not reactive.”

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