C
cogvis
The experts for intelligent analysis of 3D data and images
About cogvis
Cogvis, a Vienna-based company founded in 2007, operates in the HealthTech and Active and Assisted Living (AAL) markets. The firm originated as a spin-off from the Vienna University of Technology (TU Wien), building on extensive research in computer vision, machine learning, and 3D data processing. Co-founders include Dr. Rainer Planinc, who serves as CEO, and Dipl. Ing Michael Brandstötter. Planinc's entrepreneurial path started during his PhD at TU Wien where he led research projects that formed the basis of the company's core product, while Brandstötter brings over 25 years of experience in product development and research. Professor Martin Kampel of TU Wien's Computer Vision Lab was also a co-founder, driving the transfer of academic research into market-ready products.
The company's business is centered on its main product, CogvisAI, a patient monitoring system designed for healthcare facilities such as nursing homes and hospitals. This system utilizes a 3D infrared smart sensor combined with artificial intelligence to monitor patients while protecting their privacy. Instead of a camera, the technology projects an infrared dot pattern into a room, converting the reflected data into a 3D representation where individuals are not personally identifiable. All data processing occurs in real-time directly on the sensor, ensuring rapid alerts and a high standard of data security. Cogvis generates revenue primarily through the sale and deployment of its hardware and modular software solutions, operating as a venture capital-backed private entity.
The CogvisAI system is a modular platform offering solutions for fall detection and prevention, activity monitoring, and dementia care. It can detect when a person is getting out of bed, sitting up, or has fallen, and automatically sends an alert to a nurse call system or a dedicated app. The system is credited with reducing falls by up to 72%. Key milestones include the completion of the first prototype in 2017, achieving a strong product-market fit in early 2021, and launching a second generation of its sensor in 2023. CogvisAI is used in over 200 care facilities across Europe, including in the DACH region, France, Benelux, and Sweden, with several thousand sensors in daily operation.
Source: Dealroom company dataAt a glance
- Status
- Operational
- Founded
- 2007
- Headquarters
- Vienna, Austria
- Employees
- 25
- Open positions
- 1
- Dealroom signal
- 72.3/100
- Industry
- Health
- Sector
- Transportation, Embedding Technology, Image Recognition, Visualization
- Technology
- Artificial Intelligence, 3D Technology, Big Data, Deep Tech, Machine Learning, Computer Vision, Recognition Technology, IoT InternetOfThings
- Business model
- SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES A✓Equity / VC | Sep 2025 | $1.1M | $4.4M | Raiffeisen-Landesbank Steiermark | ↗ |
| SEED✓Equity / VC | Mar 2025 | $1.1M | $4.4M | Raiffeisen-Landesbank Steiermark | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for cogvis is 820 monthly website visits, down 12.8% over the last three months. cogvis's team declined 21.9% over the past year.
Open positions
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed2 investors entered at this stage
European Commission
Raiffeisen-Landesbank Steiermark
Other known investors3 additional known investors
Technical University of Vienna
European Innovation Council
Global Incubator Network
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about cogvis on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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