We are entering the ‘Distal Era’ of stroke care.
I founded Avyuct to bridge the ‘Distal Gap’ that standard LVO-focused AI ignores. While incumbent systems prioritize large vessel signals, Avyuct specializes in the high-noise, high-stakes environment of the M2–M4 segments ( 1.5mm-2.0mm vasculature ).
Specialized Al solutions for various medical imaging applications, each designed to enhance diagnostic accuracy and clinical workflow efficiency.
Detection of occlusion in brain blood vessels for rapid intervention and improved patient outcomes.
Identification of stroke caused by brain haemorrhage through our custom AI algorithms.
Automated detection of small pneumothorax in chest X-rays for emergency diagnostic support.
Automated detection of pneumothorax in chest X-rays for emergency diagnostic support.
Comprehensive analysis of chest X-rays to identify various pulmonary conditions and abnormalities.
Study of breast cancer in digital pathology data using our custom models.
A streamlined process from data ingestion to actionable clinical insights, powered by our state-of-the-art machine learning algorithms.
Data Preparation Standardize, clean and prepare the medical data for model training
Train custom advanced machine learning models using prepared datasets to ensure accuracy and reliability.
Deploy the trained models to analyze new data and generate outcomes near real time.
Transform model outputs into clear, actionable clinical insights to support medical diagnostics decision-making.
Hardware has caught up to anatomy. Now, we need the vision to match.
PILLAR 01
25% of stroke patients suffer from Distal Medium Vessel Occlusions (DMVOs) that are frequently missed by conventional AI. Our proprietary training on expert-adjudicated distal stroke datasets develops unparalleled sensitivity for clots previously considered ‘invisible’ to automated triage.
PILLAR 02
You cannot deploy a targeted catheter if you can’t pinpoint the occlusion with absolute certainty. We move AI from the cloud to the scanner console for ‘zero-latency’ triage because with distal strokes, the bottleneck is no longer surgical access, it is precise localization.
PILLAR 03
The success of the DISTALS trial and the rise of targeted catheters at ISC 2026 confirmed our conviction. We partner with leading institutions, universities, and the NIH StrokeNet ecosystem to define the new standard for distal sensitivity.
State-of-the-art AI ensures advanced and reliable diagnostics for distal stroke detection.
Advanced imaging insights across M2–M4 segments enable confident, rapid clinical decisions.
Complete AI-powered medical analysis with comprehensive reporting, from scan to actionable insight.
Built in collaboration with clinicians. Backed by five U.S. patent filings in AI for medical imaging.
We aren't just finding clots; we are providing the vision needed to navigate the next frontier of neuro-intervention.
— Rajesh Aggarwal, Founder & CEO