PreemptiveAI is developing a foundation model that utilizes machine learning to analyze biomedical signals from smartphones and wearable devices, enabling real-time mapping of human physiology and pathology. This technology predicts health outcomes, allowing for early identification of patient deterioration and personalized interventions to improve care efficiency.
Funding
$12.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current methods for monitoring patient health rely on infrequent clinical visits and patient-reported data, which often fail to capture subtle but critical changes in physiological condition. This lack of continuous, real-time insight hinders early detection of patient deterioration and limits opportunities for timely intervention.
Solution
PreemptiveAI is developing a machine-learning foundation model that analyzes biomedical signals collected from smartphones and wearable devices to provide real-time mapping of human physiology and pathology. The technology aims to predict health outcomes, enabling early identification of patient deterioration and facilitating personalized interventions. By continuously monitoring physiological data, PreemptiveAI seeks to improve care efficiency and enable proactive healthcare management.
Target Audience
The primary target audience includes healthcare providers, payers, pharmaceutical companies, and digital health organizations seeking to improve patient outcomes through continuous, data-driven insights.
Features
- Analysis of biomedical signals from smartphones and wearable devices
- Real-time mapping of human physiology and pathology
- Predictive modeling of health outcomes
- Early detection of patient deterioration
- Personalized interventions for improved care efficiency