Teton provides an AI-driven patient monitoring platform using anonymized computer vision sensors to track resident activity in real-time. This infrastructure delivers proactive care guidance to frontline staff, enabling faster response times and personalized interventions. The platform also offers predictive intelligence and portfolio analytics to leaders, improving operating income and care billing transparency.
Funding
$9M 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
Care facilities often struggle with providing consistent, proactive patient monitoring due to staffing shortages and the limitations of traditional monitoring methods. This can lead to delayed responses to critical events like falls, sleep disturbances, and changes in patient behavior, impacting patient safety and staff workload. Existing documentation processes can also take up valuable time that could be spent directly with patients.
Solution
Teton.ai offers an AI-powered caregiving system that uses anonymized computer vision sensors to provide real-time insights into patient activity and potential issues. The system's optical sensors analyze room activity locally, ensuring patient privacy while providing care staff with alerts and insights. By integrating into existing workflows, Teton helps staff prioritize care, respond quickly to incidents, and automate routine tasks. The platform provides a comprehensive view of patient well-being, from individual rooms to facility-wide initiatives, enabling proactive interventions and improved operational efficiency.
Target Audience
The primary target audience includes hospitals, care homes, and senior living facilities seeking to improve patient safety, enhance staff efficiency, and gain deeper insights into patient well-being.
Features
- Anonymized computer vision sensors that detect and interpret activity within a room in real-time
- AI-powered alerts for falls, sleep disturbances, and other potential patient issues
- Integration with existing care facility systems and devices for seamless workflow incorporation
- Real-time monitoring and analysis of patient behavior patterns
- Predictive insights to identify subtle changes and potential risks before they escalate
- Customizable dashboards for visualizing patient data and facility performance
- Automated documentation tools to reduce administrative burden on care staff
- Activity-based acuity metrics to tie payments to actual care delivered