Entity
  • binah.ai

    Created in 2016
  • BETA

    Up & running (A)
    Existing signals show a regular activity
  • Social networks

    669 9,491 9,491
  • Activities

  • Technologies

  • Entity types

  • Location

    Franklin St, Boston, MA 02110, USA

    Boston

    United States of America

  • Employees

    Scale: 51-200

    Estimated: 56

  • Engaged corporates

    16
    0 16
  • Added in Motherbase

    1 year, 7 months ago
Description
  • Value proposition

    Smartphone-Based Health Checks for Anyone, Anywhere

    Binah.ai’s award-winning health check software is reshaping the future of healthcare and wellness by transforming camera-equipped devices (smartphones, tablets, laptops, mirrors etc.) into biomarker monitoring solutions.

    Either remotely or on-premises, Binah.ai's software removes the need for wearables and enables end-users to take bloodless blood tests and measure:
    hemoglobin, hemoglobin A1C, cholesterol total (under research), blood pressure, heart rate, heart rate variability, mental stress, oxygen saturation, and respiration rate.

    Binah.ai’s countless use cases span a wide range of fields, including telemedicine, remote patient monitoring, primary care, personal and corporate wellness, preventive medicine, virtual trials, nursing homes, life insurance, in-car wellness, and many more.

    Binah.ai delivers these capabilities by applying a unique mix of technologies including signal processing and AI technologies such as machine vision, machine learning, and deep learning, combined with a proprietary mathematical back-end built by our unique team of mathematicians, physicists, and biotechnology PhDs.

    Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Signal Processing, Insurance, Telehealth, digitaltransformation, digital health, digital transformation, digital wellness, and digitalhealthcare

  • Video-based Vital Signs Monitoring - Binah

    Binah.ai's software-based health and wellness monitoring enables businesses to measure real-time health data using mobile device cameras.

  • https://www.binah.ai/
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