Features

  • Predicts health outcomes in real time from smartphone and wearable biomedical signals
  • Captures a blood-flow (PPG) signal through the smartphone camera
  • Estimates health metrics such as heart rate with a deep learning model
  • Aims to detect early signs of disease before symptoms appear
  • Trained on data from multiple populations including the USA, India and Cameroon
  • Supports digital health, providers, pharma and payors
  • Automates data capture, signal processing and model inference

Pricing Details

💰 Pricing Model: Details are not publicly extensive — likely enterprise / B2B engagements with digital health providers, payors, or pharma. No clearly documented free plan at this time. 🆓 Free Plan Details: Not clearly documented in public sources, so likely no standard free tier or it’s on invitation / pilot basis. 💳 Paid Plan Details: Likely involves enterprise or partnership agreements (e.g., with providers, pharma or payors) to access model, data integration, deployment, analytics, etc.