BINAH.AI’S MISSION

Health and Wellness Checks for
Anyone, Anywhere

Software-based Health and Wellness Checks for Better Services and Lower Costs

Binah.ai’s 100% software, video-based health and wellness checks solutions, available on camera-equipped devices that people already possess, such as a smartphone or tablet, deliver on the promise of health and wellness services extended to anyone, anywhere. It empowers businesses and users with a powerful tool, with high accessibility and ease-of-use. Binah.ai envisions a world where access to end-user-provided health data is software-based, easy, fast and affordable, facilitating care and decisions, at lower costs.

Why Binah.ai’s
Health and Wellness Monitoring Solutions
Always Accessible
Works on all popular smartphones, tablets or laptops. Runs on the device, no need for internet connection
Always Accessible
Cost-efficient
Reduces the need for dedicated hardware
Cost-efficient
Easy-to-use
Just by looking at the device's camera for 60 seconds or by comfortably wearing a sensor for continuous checks, no habits changes required
Easy-to-use
For All
Delivers vital signs measurements for any gender and skin color
For All
Easy to integrate and Secure
Delivered as an SDK, with support for a wide range of devices and operating systems. Binah SDK has no access to end-users' health data. Binah.ai is HIPAA and GDPR compliant and meets the ISO 13485 standard requests
Short time-to-market
Short time-to-market
Ready-to-use solutions and 24/7 human customer support for immediate integration and use
Easy-to-integrate

The Growing Need for Video-based Health and Wellness Monitoring

Empowering Industries and Users

Empowering Industries and Users

Whether for patient self-care, preventing the spread of epidemics, or reducing gaps and improving access to care in remote locations, video-based health and wellness monitoring will finally deliver on the promise for better healthcare for everyone, everywhere.

The Missing Link in Digital Healthcare

The Missing Link in Digital Healthcare

According to WHO, by 2030, the world will need 80 million doctors and nurses, but a shortfall of more than 18 million healthcare workers has been forecast. Who will fill in this gap? Binah.ai predicts a smarter, digitized future for healthcare.

Lead a Healthier Lifestyle

Wellbeing Monitoring

The use cases for real-time insights into health and wellbeing is growing bigger by the day. Not only digital healthcare, pharma, and insurance, but automotive, consumer electronics, mobile service providers, transportation, cosmetics, and even mining.

Lead a Healthier Lifestyle

‘Eat better, sleep longer, stay on top of your health.’ The guidelines come from all directions, family, friends, work, and government. With over 6.3 billion smartphone users worldwide, the potential for wellness monitoring is tremendous, and in everybody’s pocket.

Leadership

Binah.ai experts have a combined 150+ years of development experience in big data, analytics, signal processing, machine and deep learning, corporate expertise, and technology, with numerous team members holding PhDs. Meet the team that manages our amazing squad.

  • David Maman

    Co-founder, CEO, and CTO

    Guides the team in fulfilling Binah.ai’s vision. Master's in computer science, Open University. Serial entrepreneur – Hexatier (acquired by Huawei), Precos, Vanadium-soft, GreenCloud, Teridion, Terrasic, Re-Sec, and others. A director in Fortinet’s CTO office and manage info. security at Bezeq Israel telecom. 24 years of experience in leadership, AI, cybersecurity, development, and networking. A veteran of elite IDF technology unit.

  • Michael Markzon

    Co-founder and Chief Scientist

    Designs the underlying infrastructure of Binah.ai. Master’s in applied mathematics, Bar-Ilan University. Before Binah.ai, Michael led deep learning research at PayPal. He was head of R&D at CyActive (acquired by PayPal). More than 14 years experience in developing innovative solutions in machine learning and signal/image processing.

  • Konstantin Gedalin, PhD

    Co-founder and Chief Research Officer

    Focuses on the building blocks of Binah.ai. PhD in biological physics, Ben-Gurion University. An algorithm phenomenon, he was chief scientist of Scifold, developing algorithms for biometrics. Previously, he was development manager at Silentium, creator of Active Noise Control. More than 25 years experience researching and developing algorithms for wide spectrum of use cases.

  • Naveh Tov M.D. Ph.D.

    Chief Medical Officer

    Dr. Tov worked in both academic and clinical positions at Bnai Zion Medical Center in Haifa, Israel, from 1994 to 2016, specializing in internal, pulmonary and sleep medicine, where he served as the head of the pulmonary unit. In parallel, Dr. Tov consulted for several medical device and pharmaceutical companies. In 2016 he moved to a full position in Kamada (NASDAQ: KMDA) as VP of Clinical Development & Medical Director, and is therefore uniquely placed to understand medical research and development, the robust testing cycle, and bringing medical products to the masses. Dr. Tov is a member of the American Thoracic Society and the European Respiratory Society. He received his M.D. and Ph.D. from the Bruce Rapaport Faculty of Medicine at Technion in Israel.

  • Dina Segro

    Chief Revenue Officer

    From health insurance carriers, including Aetna and UnitedHealthcare, to digital health solutions and health consulting firms, Dina's career has touched many facets of the healthcare ecosystem. Dina holds a degree in Biochemistry and has 26+ years experience working in provider network management, sales, and account management. Dina is responsible for driving Binah.ai's profitable global sales production as a result of integration and alignment between all revenue-related functions, including marketing, sales, customer support, pricing and revenue management.

  • Shira Simis, PhD

    VP Regulatory and Quality

    Shira is leading all regulatory aspects as well as the establishment and implementation of quality processes, enabling Binah.ai’s transition from a software start-up to a certified Software as a Medical Device company. She has 15 years of experience, in start-ups and larger international companies in the biotechnology, pharmaceutical and medical devices industries, taking organizations from R&D stages up to final regulatory approval. Shira holds Ph.D. & M.Sc. degrees in Biotechnology and B.Sc. in Chemistry, from TAU (Magna Cum Laude).

  • Udi Ben-Senior

    VP Research and Development

    Udi is responsible for clearing the pipes and keeping the sludge moving in a dev house choked by bursting talents, tech temptations, eagerness and sophistication. Udi is a trained professional in managing teams, with leading roles at Intel and TwistBioScience, a founder of two companies, instructor, lecturer, tech leader and a software architect at heart and soul. He is the guy who knows how to harness people for extraordinary and outstanding deliveries, with a consistent track record of driving dramatic improvements in team's productivity, quality and software development methodologies.

  • Ido Sher

    VP Product Management

    Ensures Binah.ai use cases transform from concepts to out-of-the-box solutions. Ido has over 10 years of experience in executive product management roles, specializing in leading product strategy and execution for companies in their growth and transition phase. Ido holds an MBA, Tel Aviv University, and an M.Sc and B.Sc in computer and life sciences (Magna cum laude and cum laude, respectively) from Bar-Ilan University.

  • Michal Kugel

    HR Senior Director

    Senior HR manager with many years of experience in various sectors including consumer products, retail, startups and high-tech. One of the founders of the international brand Nespresso in Israel from its early days. Expert in designing organizational culture, processes for change, accompanying managers and teams. She holds a bachelor's degree in behavioral sciences and communication and an MBA.

  • Mona Popilian-Yona

    VP Marketing

    Mona leads Binah.ai's global marketing creating awareness and demand generation. With over 20 years of international marketing experience in leading global and startup companies, Mona spares no effort in bringing the wonders of Binah.ai's technology to worldwide attention, with a combination of traditional and modern marketing and a pragmatic attitude. Mona has held positions at leading companies such as m-systems (acquired by SanDisk) and Cellebrite. She holds an MBA in Marketing Management from the University of Derby.

  • Hirao Mitsuhiro

    VP Sales Japan

    With over 20 years of experience in the IT industry, Hirao develops and manages all of Binah.ai’s sales and business management activities in Japan. After spending several years in positions at major players such as Cisco Systems and Oracle, he dedicated himself to developing the Japanese market for global start-ups including FireEye, Menlo Security, and Foundry Networks. He holds a Bachelor of Economics from Osaka University.

Advisory Board

  • Mark H. Goldstein

    Chairman of Advisory Board

    Digital health visionary and healthcare transformation activist, Mark H. Goldstein, has served as Chariman of our advisory board and investor since December 2021. Mark is also the Founder and Chairman of the UCSF Health Hub, an innovation hub that helps healthcare inventors and earlier-stage companies scale and grow, produces the annual UCSF Digital Health Awards, hosts monthly events on campus or online and has over 10,000 members and subscribers. Over the past 30 years, Mark has co-founded a dozen fintech, SaaS, e-commerce, retail, green tech, online gaming, and music ventures and has made over 40 angel and institutional health-related investments, either personally, via his Advisors Fund or through San Francisco-based Builders Venture Capital, where he is Managing Partner. He has invested in companies like Dr. Consulta, Carbon Health, Fitbit and Jawbone Health. Mark is the director of Conversa Health and Neuroflow, has previously served as an Entrepreneur-in-Residence at Softbank and at NEA and is a graduate of the University of Pennsylvania.

  • Len Rosenberg, PhD, RPh

    Head of Clinical Research Advisory Board

    Dr. Rosenberg is a 35 plus year executive with proven experience in driving operational excellence at all levels within the pharmaceutical, biotechnology, eclinical and contract research organization sectors. With his diverse background which includes executive management, clinical and regulatory operations, business development, eclinical technology solutions and new product/licensing evaluations, he brings tremendous hands on insights to optimizing the drug development cycle, from the early start-up stage to global product registration. Dr. Rosenberg is Head, Clinical Operations at Beat AML, LLC, a division of The Leukemia & Lymphoma Society and also Managing Partner of eP2Consulting, Inc. since 2001. Dr. Rosenberg received his Ph.D., from the Kellogg Pharmaceutical Clinical Scientist Program, University of Minnesota, College of Pharmacy and his Bachelor of Science, Pharmacy, from the Philadelphia College of Pharmacy and Science.

Latest News

Binah-AI-Press-Release

Binah.ai Expands Capabilities: Organizations Can N…

詳細はこちら
Binah-AI-Press-Release

Binah.ai Adds Fall Detection to Its Software-based…

詳細はこちら
Binah-AI-Press-Release

NTT East Collaborates with Israeli Startup Binah.a…

詳細はこちら
Binah-AI-Press-Release

Sapiens and Binah.ai Partner to Empower Global Lif…

詳細はこちら
Binah-AI-Press-Release

Endava Partners with Binah.ai on Enhanced Health a…

詳細はこちら
Binah-AI-Press-Release

Binah.aiがPolarと提携、ウェルネスの連続測定機能を実現…

詳細はこちら
binah-pr

Binah.ai Announces Video-based Blood Test Ability …

詳細はこちら
binah-pr

Binah.ai Receives ISO 13485:2016 Certification

詳細はこちら
binah-pr

Binah.ai continues to bolster the future of insura…

詳細はこちら
zurich-news-thumbnail

Zurich Picks Binah.ai as one of the 12 startups to…

詳細はこちら
binah-pr

Binah.ai and Datos Health Transform Digital Health…

詳細はこちら
binah-pr

Binah.ai Announces Support for React Native and Fl…

詳細はこちら
binah-pr

Binah.ai’s Newest Video-based Blood Pressure Moni…

詳細はこちら
binah-pr

Binah.ai Unveils Video-Based, Contactless Blood Pr…

詳細はこちら
healthcare-business-today-logo

How Remote Vital Signs Monitoring Can Help Allevia…

詳細はこちら

Recent Market Recognition

Our groundbreaking monitoring solutions are regularly rewarded with leading industry awards and market validation. Here’s a selection of our latest recognition!

ces-2020-innovation-awards
ces-2022-innovation-awards
NTT-data-awards
USFC-award
Dia-award-22
insurance-asia-awards
partners background

Our Partners

Polar Electro
NTT
Endava
SDG
Sapiens
Elite Global Doctors by Has
Nuverse
Datos Health

Preguntas Frecuentes:

¿Cuál es la solución de Binah.ai?

Binah.ai ofrece a las empresas una Plataforma de Datos de la Salud basado en un software que permite chequeos de la salud y el bienestar puntuales y continuos en cualquier momento y lugar, utilizando cámaras en teléfonos inteligentes, tabletas, computadoras portátiles, así como sensores.

 

¿Cómo funciona la tecnología de Binah.ai?

Binah.ai utiliza una combinación única de inteligencia artificial avanzada y algoritmos de aprendizaje profundo para permitir chequeos puntuales desde dispositivos basados en cámaras como teléfonos inteligentes, y chequeos continuos desde sensores PPG. Para chequeos puntuales, Binah.ai extrae y analiza una señal rPPG tomada de la piel expuesta en la superficie de un rostro humano. Para chequeos continuos, Binah.ai analiza una señal PPG entregada desde el sensor vía Bluetooth para calcular los resultados de la medición. Entregando resultados consistentes en menos de un minuto, la tecnología de Binah.ai es agnóstica al color de piel y el género. Los cinco niveles de estrés de Binah.ai se calculan en base al Índice de Estrés de Baevsky.

¿Cómo funciona la tecnología de monitoreo de presión arterial sin contacto de Binah.ai?

La tecnología de monitoreo de presión arterial, sin contacto, de Binah.ai extrae la presión arterial utilizando una técnica óptica llamada fotopletismografía remota (rPPG), que analiza la luz que se refleja en la piel expuesta de un rostro humano. La tecnología utiliza inteligencia artificial avanzada y algoritmos de aprendizaje profundo, incluida la tecnología de visión por computadora y el procesamiento de señales.

¿Cómo funciona la detección de caídas de Binah.ai?

La tecnología de detección de caídas de Binah.ai utiliza el giroscopio y el acelerómetro de un sensor óptico de frecuencia cardíaca Polar Verity Sense™, usado por el usuario, para detectar caídas. En caso de una caída, el sistema puede generar una notificación cronometrada que insta al usuario a responder. Si no se responde, el sistema activa dos controles consecutivos de signos vitales mientras se envía una alerta con la ubicación del evento a contactos designados. Estas configuraciones son personalizables según las necesidades de tu organización.

¿Cómo se entrega Binah.ai?

La tecnología de Binah.ai para chequeos puntuales basada en vídeo se entrega como un kit de desarrollo de software (SDK). La tecnología de Binah.ai para chequeos continuos se entrega como un SDK o una aplicación lista para usar, Binah Connect. Obtén más información sobre nuestro SDK aquí.

¿Binah.ai vende directamente a consumidores?

No. La tecnología de Binah.ai se entrega a empresas en diversas industrias que necesitan los datos de la salud proporcionados por el usuario final, incluyendo industrias de cuidado de la salud, farmacéuticas, seguros, empresas de bienestar y muchos más.

¿Cómo está revolucionando Binah.ai el monitoreo de la salud y el bienestar?

Ofreciendo la extracción de una amplia gama de parámetros de la salud y el soporte para varios dispositivos y sistemas operativos, Binah.ai reduce la necesidad de hardware dedicado utilizado para el monitoreo remoto de la salud y el bienestar, permitiendo que más usuarios accedan fácilmente a estas herramientas y haciendo que los datos de la salud proporcionados por el usuario sean más accesibles para las empresas, a costos más bajos.

Ready to try our Health Data Platform?

Ready to talk about your own specific use case for Binah.ai technology? Let’s set up a call.

footer-wave-border