About
Teton is an advanced AI-powered resident monitoring platform purpose-built for care homes and hospitals. Using privacy-first, anonymised computer vision sensors installed in resident rooms, Teton delivers real-time understanding of resident activity, sleep, mobility, and care delivery — with no wearables, charging, or calibration required. At the core of the platform is Samwise, an AI agent for care teams that lets staff ask natural language questions about residents and their building, receiving clear, instant answers drawn directly from live monitoring data. This reduces time spent reviewing charts and increases time available for direct care. For frontline staff, Teton provides proactive care tools with real-time alerts, silent acknowledgements, and quick triage capabilities that help teams respond faster and document less. For leadership, the platform delivers portfolio-level analytics and predictive intelligence — from room-level data to cross-facility benchmarks — enabling data-driven decisions that improve operating income and resident length of stay. Teton also supports transparent care billing by tying payments to actual care delivered through activity-based acuity tracking. The platform integrates seamlessly into existing care routines and suits both individual care homes and large multi-site operators. Results reported by customers include falls reductions of 75–83%, improved staff confidence during night shifts, and measurably higher quality of care across facilities.
Key Features
- Samwise AI Agent: An AI assistant for care teams that answers natural language questions about residents and building activity using live monitoring data, reducing time spent reviewing charts on shift.
- Anonymised Computer Vision: Privacy-by-design sensors detect room activity in real-time without wearables, charging, or calibration, ensuring resident dignity while enabling continuous monitoring.
- Proactive Care Tools: Real-time alerts, silent acknowledgements, and quick triage capabilities help mobile staff respond sooner, document less, and personalise care for each resident.
- Portfolio & Predictive Analytics: Live analytics spanning individual residents to entire portfolios empower leadership to benchmark performance, forecast risks, and improve operating income and length of stay.
- Transparent Care Billing: Activity-based acuity ties billing to actual care delivered, providing families with transparent invoices while helping operators maintain healthy margins.
Use Cases
- Real-time monitoring of senior living residents to detect falls, changes in mobility, or sleep disturbances before they escalate into serious incidents.
- Empowering night-shift nursing staff with AI-driven alerts and peace of mind without requiring constant manual room checks.
- Enabling care home managers to benchmark performance across multiple sites and forecast risks using portfolio-level predictive analytics.
- Supporting transparent, activity-based billing that reflects actual care delivered, improving family trust and helping operators maintain healthy margins.
- Reducing documentation burden for frontline care staff by replacing manual chart reviews with instant AI-generated resident summaries via the Samwise agent.
Pros
- Privacy-first design: Anonymised computer vision monitors residents without cameras capturing identifiable footage or requiring wearables, preserving dignity while delivering continuous data.
- Proven fall reduction: Customers report falls reductions of 75–83%, demonstrating clear, measurable safety improvements validated by real care staff testimonials.
- Empowers staff at every level: From frontline care assistants to portfolio managers, Teton provides role-appropriate insights that reduce admin burden and improve decision-making across the organisation.
- No wearables or calibration needed: Sensor-based room monitoring requires no resident cooperation or device management, making adoption frictionless in even the most complex care environments.
Cons
- Requires hardware installation: The platform depends on physical sensors installed in resident rooms, adding deployment complexity and upfront infrastructure cost compared to software-only solutions.
- Enterprise-only, opaque pricing: No self-serve or publicly listed pricing is available; access requires booking a demo, making it difficult to evaluate cost-fit without engaging the sales team.
- Niche market focus: Teton is purpose-built for senior living and hospital care environments, limiting its applicability and support ecosystem outside these specific sectors.
Frequently Asked Questions
What is Teton?
Teton is an AI-powered resident monitoring platform for care homes and hospitals. It uses anonymised computer vision sensors to track resident activity in real-time and provides care staff and leadership with actionable insights through AI tools, alerts, and analytics dashboards.
What is Samwise?
Samwise is Teton's AI agent designed for care teams. It allows staff to ask natural language questions about residents and their building and receive instant, data-driven answers from the live monitoring system — reducing the time spent reviewing charts and enabling faster, more informed care decisions.
Does Teton require residents to wear devices?
No. Teton uses anonymised computer vision sensors installed in rooms. There are no wearables, no charging requirements, and no calibration needed, making the experience non-intrusive for residents while still providing comprehensive monitoring data.
How does Teton protect resident privacy?
Teton's sensors are built with privacy by design. They detect room activity without capturing identifiable video footage, ensuring resident dignity is maintained at all times while still generating meaningful, actionable monitoring data for care teams.
What results have care homes seen with Teton?
Customers have reported falls reductions of 75–83%, improved staff confidence and calm during night shifts, higher care quality scores, and better operational efficiency. Leadership teams have also benefited from portfolio-level insights that support data-driven staffing and care planning decisions.
