Binah.ai

Binah.ai, founded in 2016, operates in the Health Tech and Life Sciences sector, providing a software-only solution that transforms camera-equipped devices like smartphones, tablets, and laptops into health and wellness monitoring tools. The company was established in Ramat Gan, Israel, by David Maman, Konstantin Gedalin, and Michael Markzon, who combined their extensive experience to pursue the mission of making basic healthcare services accessible to anyone, anywhere. David Maman, the CEO and CTO, is a serial entrepreneur with a background in computer science and a history of founding successful tech companies. Konstantin Gedalin, the Chief Research Officer, holds a Ph.D. in Physics and has over two decades of experience in signal processing and algorithmic research. Michael Markzon, the Chief Scientist, has a master's degree in applied mathematics and previously led deep learning research at PayPal.

The company's business model is primarily B2B and B2B2C, providing its technology to other businesses rather than directly to consumers. It operates on a SaaS model, delivering its platform as a Software Development Kit (SDK) that clients can seamlessly integrate into their own applications and workflows. This approach serves a diverse clientele, including industries such as healthcare, insurance, and corporate wellness. By offering its technology as a software solution, Binah.ai enables its partners to reduce dependency on dedicated hardware, thereby lowering costs and making health monitoring more accessible.

Binah.ai’s core product is its Health Data Platform, which uses a combination of signal processing, computer vision, and AI to analyze a video feed of a person's face to extract vital signs. The technology is based on remote photoplethysmography (rPPG), which measures changes in light reflection from the skin to determine blood flow variations. Within 35 to 60 seconds of looking at a device's camera, users can measure a wide range of biomarkers, including blood pressure, heart rate, heart rate variability, oxygen saturation, and respiration rate. The platform also offers bloodless blood tests for hemoglobin and HbA1c, and has introduced risk assessments for conditions like high fasting glucose and high cholesterol. For situations requiring ongoing monitoring, the technology can integrate with wearable sensors. The solution is designed to work without an internet connection, processing data directly on the user's device to ensure privacy and stable performance.

Keywords: health data platform, vital signs monitoring, remote patient monitoring, digital healthcare, health tech, rPPG technology, AI diagnostics, telehealth solutions, video-based health checks, software development kit (SDK), biomarker monitoring, bloodless blood test, insurance tech, corporate wellness, preventive medicine, mobile health, contactless monitoring, signal processing, machine learning in healthcare, David Maman