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Teton AI

AI-driven patient monitoring for care facilities

Overview

Teton AI provides a B2B health-tech SaaS platform for hospitals and senior-care facilities that uses edge AI with optical sensors to monitor patient rooms. The system runs on-device with infrared for 24/7 operation, analyzes activity and movements to generate real-time alerts (e.g., fall risks) and track sleep and mobility, without storing personal data or images. It creates a digital twin of care operations to optimize workflows, forecast staffing needs, and improve operational efficiency, including portfolio-level analytics. The company differentiates itself by privacy-preserving on-device processing and proactive interventions to reduce manual checks, with a goal to expand internationally and help healthcare facilities manage workloads more efficiently amid nursing shortages.

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About Teton AI

Simplify's Rating
Why Teton AI is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise SoftwareAI & Machine LearningHealthcare

Company Size

51-200

Company Stage

Series A

Total Funding

$25.3M

Headquarters

Copenhagen, Denmark

Founded

2020

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What believers are saying

  • September 9, 2025 Series A raised $20 million for U.S. expansion.
  • January 27, 2026, Katie Grant became U.S. President to accelerate commercialization.
  • May 26, 2026, Barchester named Teton Gold Sponsor, signaling active UK penetration.

What critics are saying

  • CarePredict and similar platforms compete on senior-care monitoring, compressing pricing and margins.
  • U.S. privacy regulators and plaintiffs target room sensors that reconstruct residents’ behavior.
  • If 10-state rollout slips past 2026, Teton’s expansion narrative loses credibility.

What makes Teton AI unique

  • Teton’s on-device, privacy-preserving 3D room digital twin avoids storing identifiable video.
  • Its sensor stack tracks sleep, mobility, respiration, and falls without wearables.
  • Plural-backed product pairs clinical alerts with operational analytics from resident to portfolio.

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Funding

Total Funding

$25.3M

Above

Industry Average

Funded Over

2 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Above Average

Industry standards

$15M
$8.2M
$15M
$20M
$30M

Benefits

  • Health Insurance
  • Paid Vacation
  • 401(k) Retirement Plan
  • Stock Options

Growth & Insights and Company News

6 month growth

-1%

1 year growth

0%

2 year growth

-4%
PR Newswire
Oct 15th, 2026
Teton launches AI E-Call system; caregivers accepted 6,396 resident requests in a median of 51 seconds

Teton has launched Teton E-Call, an AI-based resident-call system that shows care teams who is calling, where they are and, with monitoring enabled, what was happening in the room. The system is available for Assisted Living, Memory Care and Independent Living communities. At Wynwood House at State College, part of Aquinas Senior Living, 37 residents used it to request help 6,396 times between May 1 and August 31, 2026. Caregivers accepted calls in a median of 51 seconds. Nearly 30% of calls came between 19:00 and midnight, and seven residents made about two-thirds of all requests. Leaders can use this to adjust evening staffing and revisit care plans.

Teton AI
Oct 14th, 2026
Teton E-Call solution nowintegrates with Inovonics.

Teton E-Call solution nowintegrates with Inovonics. Inovonics' dedicated 900 MHz network ensures the call, while Teton's technology shows caregivers what's happening in the room and gives managers a record of how every call was answered. October 14, 2026 Inovonics, the dedicated wireless E-Call hardware provider, and Teton, the AI operating system for care, today announced a partnership that brings Teton E-Call to Inovonics' 900 MHz EchoStream network.

Teton AI
Jun 2nd, 2026
Welcoming our Country Director UK, James De Bathe.

Welcoming its Country Director UK, James De Bathe. June 2, 2026 Teton has appointed James De Bathe as Country Director UK, strengthening the leadership team as the company scales its presence across the UK care sector. Teton, the autonomous operating platform for care, has appointed James De Bathe as Country Director UK, strengthening the leadership team as the company scales its presence across the UK care sector. De Bathe brings more than two decades of commercial leadership across health and social care, with experience spanning the UK, Europe, North America and Australia. His background covers NHS sales, digital health SaaS and complex partnership development across healthcare systems at an international scale. He joins from Koa Health, where he served as Head of NHS Sales. Previous roles include Vice President Commercial Healthcare at Huma, where he led growth of remote patient monitoring and population health management solutions across NHS and pharmaceutical partners, and Director of Partnerships and Market Development at Ieso Digital Health, where he delivered 50% year-on-year ARR growth over four years. He also held senior commercial roles at Oviva, TalkLife and Big White Wall, giving him broad experience across mental health, chronic disease management and digital care pathways.

Teton AI
May 26th, 2026
Teton proudly sponsors Tour de Barchester 2026.

Teton proudly sponsors Tour de Barchester 2026. May 26, 2026 Every year, Barchester Healthcare takes on a 200 mile cycling challenge. This year, Teton was proud to be part of it as Gold Sponsor of Tour de Barchester 2026. "We are delighted to welcome Teton as gold sponsor of Tour de Barchester 2026. Having partners who genuinely understand and care about the work this sector does makes a real difference. Seeing Will out on the road with us across Scotland was a brilliant reflection of that commitment." Simon McCall, Chief Commercial Officer, Barchester Healthcare

Digital Health
Apr 9th, 2026
Digital health coffee time briefing.

Digital health coffee time briefing. * 9 April 2026 Your morning summary of digital health news, information and events to know about if you want to be "in the know". Care technology company Teton has launched Samwise, an AI agent that gives care home staff and hospital ward teams direct conversational access to operational data. Teton's platform uses sensors to monitor resident and patient activity, sleep, movement, and respiration and supports dashboards and summary reports by answering questions such as "which residents had disrupted sleep this week?" Gloucestershire Royal Hospital, part of Gloucestershire Hospitals NHS Foundation Trust, has expanded its cardiac catheterisation lab provision with the installation of Canon Medical's specialist angiography X-ray system, the Alphenix Core+. The specialist imaging system supports pacemaker implantation, one of the most common types of heart surgery. North Kent Mind, an independent mental health charity providing support to people in Dartford, Gravesham, Swanley, and Medway, has launched an early intervention emotional wellbeing and mental health service. The Medway Therapeutic Alliance was launched in response to a rise in the mental health needs of children in the region and increasing numbers of families seeking support. Heartfelt Technologies is working with Patients Know Best to automate and accelerate clinical trial recruitment. The companies claim a digital-first approach over a concentrated four-week window overcame typical recruitment bottlenecks by informing and enabling eligible patients to rapidly connect with research opportunities. Noveva Software Group is supporting Velindre Cancer Service's new centre with its CCube Cloud EDMS platform. The platform will enable the digitisation, storage, and secure retrieval of clinical documentation to reduce Velindre University NHS Trust's reliance on paper-based records, as well as integrate with Welsh national healthcare infrastructure. Researchers at Lund University have developed an AI model showing that it is possible to detect several neurodegenerative diseases from a single blood sample. A team led by researchers Jacob Vogel and Lijun An has developed an AI model capable of detecting multiple diseases at once. The model is based on protein measurements from more than 17,000 patients and control participants. Did you know that? Research from Noble Live-In Care, part of UK care provider CCH Group, reveals that a lack of forward planning is leaving the UK's health and social care system constantly reacting to crises instead of preparing for future demand. Without effective forecasting, hospitals and social care services are often reacting to crises rather than anticipating needs, according to an analysis of data. This leaves patients waiting longer for the right support, Researchers claim the financial cost of not planning is already significant. Delayed hospital discharges, often caused by gaps in social care capacity, are costing taxpayers more than £23 million in a single month, with NHS bed days averaging around £562 each. Across the UK, pressure on services continues to build. Hospital bed occupancy regularly exceeds safe levels, while delays in discharging patients, often due to a lack of available care in the community, remain a persistent challenge. What we're reading A study claims multilingual, voice-enabled chatbots could enhance patient education in eye care. Transforming patient education on retinal detachment: A multilingual voice-enabled retrieval-augmented generation chatbot, outlines how patients can access retinal detachment advice through personalised, real-time, clinically grounded conversations. A research team led by University of East London's Dr Mohammad Hossein Amirhosseini and Dr Fatima Kalabi from Queen's Hospital in London, in collaboration with Moorfields Eye Hospital in London, and Inselspital University Hospital of Bern in Switzerland, has developed a multilingual voice-enabled AI chatbot designed to help people understand retinal detachment - a sight-threatening condition that often requires urgent surgery. The system allows patients to ask questions in natural language and receive answers drawn from trusted medical sources. The study was published in the peer-reviewed Journal of Artificial Intelligence & Robotics.

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