We unlock the potential of Human Data collected from sensors & sensing systems to predict and improve health outcomes
We unlock the potential of Human Data collected from sensors & sensing systems to predict and improve health outcomes
Human Data Labs provides foundational sensor integration and biofeedback technology that enables interoperability of wearable sensors and other sensing systems, while using AI to transform collected data and other patient health data into metrics, insights and predictions to power real time & on-demand use cases.
Our mission is twofold: (1) to help people live longer & healthier lives through personalized health management, and (2) enable true autonomy over one’s health data.
We provide an AI-based, modular platform adaptable to multiple environments and foundational to the emerging Human Data Economy. Our infrastructure-focused technology is highly defensible and built around four key verticals that enable Human Data to become on-demand, predictive and monetizable.
We provide a patented sensor integration and biofeedback platform that enables two-way, real-time and periodic use of any sensor or sensing system, providing key health information that is accessible to patients, third party medical professionals and other partner systems.
Our proprietary methodologies clean, categorize, and normalize data to unlock the value of real-time and periodic multi-stream data. We make processed data outputs accessible, on-demand, and available for a multitude of use cases as well as to strategic analytics and visualization partners.
We leverage proprietary artificial intelligence techniques to augment missing or noisy data within sensor data sets. We also transform collected sensor data into predictive insights and decision-making tools for real-time and periodic use cases through the use of artificial data and simulated events.
Our novel Human Data Marketplace™ solution empowers data owners with the necessary tools, security, and control to share and monetize their personal health data. We also make available large volumes of normalized, searchable, and validated data sets to research organizations and other acquirers.
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