Improve stroke recognition, increase acute treatment, reduce disability, and save lives

We are creating a fully autonomous software for acute stroke detection

Improve stroke recognition, increase acute treatment, reduce disability, and save lives

We are creating a fully autonomous software for acute stroke detection

When it comes to stroke…
Time lost is brain lost

Within < 3 hours

Stroke can be completely reversed if treated within < 3 hours of symptoms

Up to 70% of all

Up to 70% of all stroke patients will achieve full recovery if treated within 2 hours

1/3 Don’t know

27% of patients don’t even know when they are having a stroke

2/3 Can`t call

70% of patients are unable to call EMS because of stroke symptoms

Our technology

has the potential to significantly impact acute stroke treatment rates around the world


We created a multimodal automated acute stroke detection software, incorporating universally accepted F.A.S.T. paradigm
Facial assymetry
Arm weakness
Speech disturbance
Time to call EMS!

Based on machine learning, computer vision, and signal processing methodology we designed modules detecting patterns of acute stroke including facial asymmetry, speech changes, and arm weakness.

Worldwide impact of stroke

№1 cause of disability

Over 80 million stroke survivors living with deficits.

№2 case of death

7 mln per year worldwide, second only to heat attack.

8 out of 10

Stroke patients will have disability.

1 min = 1.9 milion

Brain cells lost.

1 hour = 3.6 years

Premature aging.

1 in 4 adults

Over the age of 25 will have a stroke in their lifetime.


We assembled and highly qualified team of world-experts and thought leaders in cerebrovascular disease based in Los Angeles, and talented IT and ML specialists based in one of the leading IT hubs in EU – Bulgaria. Our unique expertise enables us to be at the forefront of all technological and scientific advances in acute stroke treatment and diagnosis.

Vascular and Interventional Neurologist, Neurointerventional Surgeon and keen researcher in the stroke field. His vision is to have an impact on cerebrovascular disease directly at the bedside with his clinical skills and on a larger scale through research, teaching, and innovative technologies.
Radoslav Raychev, MD, FAHA, FSVIN

CEO and Co-Founder

Serial entrepreneur with multidisciplinary profile of managing startups in verticals ranging from foodtech to digital health. Multiple years of experience as operational head of IT development company tasked with projects from shaping MVPs to bringing large-scale digital products to market.
Todor Todorov

COO and Co-founder

Software architect and project manager with over 15 years of experience in the IT Industry. Technical Advisor and mentor of numerous tech startups. Software Trainer with more than 400 students graduated as job-ready developers. Author of a book about software development.
Krasimir Stoev


Jeffrey L. Saver, MD, FAHA, FAAN, FANA
SA Vice-Chair and Professor of Neurology at UCLA, and Director of the UCLA Comprehensive Stroke and Vascular Neurology Program. Author of over 670 research articles, 3 books, and 40 book chapters, Dr. Saver's research interests are in acute stroke treatment, stroke prevention, neuroimaging, clinical trial design, and neurocognitive consequences of stroke.
Jeffrey L. Saver, MD, FAHA, FAAN, FANA

Medical Аdvisor

Professor of Neurology at the University of California, Los Angeles (UCLA) where he is Director of the UCLA Stroke Center. He is Director of the Neurovascular Imaging Research Core, leading global efforts to advance data science and precision medicine of stroke imaging for prevention, acute therapies and recovery after stroke.
David S Liebeskind, MD, FAAN, FAHA, FANA, FSVIN, FWSO

Medical Аdvisor

Neurologist and neurophysiologist at St Anna University Hospital Sofia and Alexiev and Son Neurology and Neurorehabilitation center. He has vast experience in acute neurology with a focus on stroke and epilepsy. His clinical and research interests encompass various fields of neurology such as sleep disorders, consciousness disorders, multiple sclerosis.
Filip Alexiev, MD, PhD

Clinical Path Advisor

Reseacher and entrepreneur with extensive experience in tools for testing and debugging machine learning code that speed up development, save hours of fighting elusive bugs and provide deep theoretical insights. Together with Daniel Angelov, he developed a successful platform for testing ML models.
Svetlin Penkov, PhD

ML/AI Advisor

Experienced researcher in AI and robotics field with background in developing ML for medical applications. Together with Dr. Penkov, he works on methods for extracting structured mechanisms and representations from raw data resulting in explainable and robust models.
Daniel Angelov, PhD

ML/AI Advisor


Contact Us


530 South Hewitt Street, Unit #333,

Los Angeles, CA 90013