JSON twin: https://www.healthaidb.com/software/teton.json
Teton
Teton is an AI-powered, privacy-preserving patient monitoring system that uses on-site computer vision to provide real-time alerts, sleep and activity analytics, and automated rounding for hospitals and care homes.
Teton provides an edge-computed optical sensor + software platform that anonymises video on-device, extracts activity and posture signals, raises fall and safety alarms, tracks sleep and trends over time, and integrates insights into clinical workflows to reduce disruptive checks and improve ward efficiency.
unknown
2020
P1641
2025-09-07
commercial proprietary
contact vendor for pricing, demo and deployment options
enterprise_quote
2020
Optical sensor + local edge computer for on-site inference; internet connection for cloud services; mobile (iOS/Android) or web client
product
1.0
{
"company_name": "Teton",
"company_url": "https://www.teton.ai",
"company_offices": [
"Denmark"
],
"company_founding": "2020",
"product_url": "https://www.teton.ai/product",
"categories": [
"AI Facility Management",
"Ambient Sensing and Alerting",
"Virtual Nursing",
"Patient Monitoring",
"Hospital Ward",
"Senior Living"
],
"market_segment": [
"enterprise",
"healthcare providers"
],
"links": [
"https://www.teton.ai",
"https://www.teton.ai/product",
"https://www.teton.ai/technology",
"https://www.teton.ai/company/about-us",
"https://trust.teton.ai",
"https://elion.health/products/teton",
"https://thenextweb.com/news/exclusive-danish-supercomputer-teton-ai-care-companion-for-hospitals",
"https://sifted.eu/articles/teton-ai-nurse-healthtech-news",
"https://www.linkedin.com/company/teton-ai/"
],
"summary": "Teton is an AI-powered, privacy-preserving patient monitoring system that uses on-site computer vision to provide real-time alerts, sleep and activity analytics, and automated rounding for hospitals and care homes.",
"description": "Teton provides an edge-computed optical sensor + software platform that anonymises video on-device, extracts activity and posture signals, raises fall and safety alarms, tracks sleep and trends over time, and integrates insights into clinical workflows to reduce disruptive checks and improve ward efficiency.",
"target_users": [
"nurses",
"care staff",
"clinicians",
"ward managers",
"facility managers",
"clinical operations teams",
"customer success/implementation teams"
],
"specialties": [
"geriatrics",
"long-term care",
"hospital medicine",
"inpatient ward management",
"falls prevention",
"sleep monitoring"
],
"regions_available": [
"Denmark",
"United Kingdom",
"Germany",
"Switzerland",
"Austria"
],
"languages_supported": [
"English",
"Danish",
"German"
],
"pricing_model": "enterprise_quote",
"pricing_details": "contact vendor for pricing, demo and deployment options",
"license": "commercial proprietary",
"deployment_model": [
"SaaS (cloud) with on-premise edge processing / hybrid"
],
"os_platforms": [
"Web",
"iOS",
"Android",
"Tablet"
],
"features": [
"Real-time patient/activity monitoring via optical sensor",
"Fall detection, warnings and anonymised fall clips",
"Sleep monitoring and sleep-trend analytics",
"Automated digital rounding (one-tap check-ins)",
"Customisable alarms and risk-tailored alerts",
"Ward-level and resident-level analytics and statistics",
"Anonymised representations (privacy-preserving visualization)",
"Edge inference (on-site processing, no raw video stored)",
"Activity/bathroom dwell-time alerts",
"Documentation automation to reduce charting burden",
"Onboarding and site deployment support / customer success"
],
"optional_modules": [
"Hospital ward package",
"Long-term care / care-home package",
"Advanced analytics / reporting"
],
"integrations": [
"Mobile/tablet apps and web dashboard",
"Nurse-call / alarm systems (integrations implied)",
"Facility workflows / documentation systems (EHR connectors implied but not named)"
],
"data_standards": [],
"api_available": "unknown",
"system_requirements": "Optical sensor + local edge computer for on-site inference; internet connection for cloud services; mobile (iOS/Android) or web client",
"compliance": [
"HIPAA (controls reference)",
"GDPR"
],
"certifications": [],
"security_features": [
"Encryption at rest",
"Encryption in transit",
"MFA for remote access",
"Unique account authentication",
"Access reviews and role-based access controls",
"Intrusion detection",
"Log management / audit logging"
],
"privacy_features": [
"On-edge processing with deletion of raw material",
"Anonymisation of visual data (green circles, anonymised fall clips)",
"Privacy impact assessments",
"Customer data deletion on offboarding",
"Data classification and retention policies"
],
"data_residency": "",
"customers": [
"Zealand University Hospital",
"Region Nordjylland (pilot wards)",
"Unnamed Danish care home",
"Municipal hospital wards (Denmark)"
],
"user_reviews": [],
"ratings": [],
"support_channels": [
"email",
"onsite (customer success visits)",
"customer_success"
],
"training_options": [
"documentation",
"onsite",
"live_online",
"workshops",
"videos"
],
"release_year": "2020",
"integration_partners": [
"Encord",
"Person Centred Software",
"Plural (investor/strategic partner)"
],
"id": "P1641",
"slug": "teton",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/teton.json"
}
}