For a facilities manager, the question of how many people are actually in the building is rarely answered with a single number. AI-Sense, a Slovak company founded in 2024, is betting that the most reliable answer comes from a small sensor in the ceiling. The company’s proposition is a hardware-plus-software system that uses edge-based AI to count people and vehicles in real time, feeding that data into analytics for space utilization and operations [ai-sense.eu].
A hardware wedge into facility management
The company’s core bet is on a proprietary sensor that handles image processing and object detection locally, using a quad-core CPU and a Neural Net Accelerator [ai-sense.eu]. This edge processing means the system sends only counted data to the cloud, a design choice that addresses privacy concerns and reduces bandwidth demands. The software layer then applies predictive analytics to help with resource allocation and security protocols [S2 Xpeed]. The company also markets a specific solution called Hybro, which ties occupancy data directly to time tracking and meeting room booking systems [ai-sense.eu].
The claim of a ten-year head start
A notable part of AI-Sense’s story is its claimed lineage. The company states it has “over 10 years of experiences by using Time of Flight sensory technologies” in people counting and Automated Passenger Counting, dating back to 2012 [ai-sense.eu]. This predates the company’s 2024 incorporation, suggesting the technology and perhaps the team’s expertise were developed in a prior entity or project. CEO Tibor Gajdár’s background includes roles at industrial firms like Thales Transport & Security and T-Systems Hungary, which aligns with the deep hardware and systems integration required for this product [LinkedIn, 2026].
Where the wheels could come off
For all its technical claims, AI-Sense presents a classic set of early-stage risks. The market for smart building sensors is crowded, and the company has not disclosed any named customer deployments or funding rounds to validate its traction. The business model, combining capital expenditure on hardware with a recurring software fee, faces stiff competition.
- The hardware moat. While AI-Sense touts its edge processing, competitors range from established building management giants like Siemens and Honeywell to pure-play sensor companies.
- The software renewal. The long-term value is in the analytics and integration platform. Without published case studies or retention metrics, it is unclear if the software insights are compelling enough to secure annual renewals.
- The team scale. The public team profile is currently thin. Scaling a hardware business requires expertise in supply chain, manufacturing, and field support that the known team has not yet demonstrated in this venture.
The ideal customer is a mid-sized enterprise or facility management firm overseeing multiple properties. They are buying a specific operational metric, not an AI platform. AI-Sense’s niche is the buyer who wants a dedicated, privacy-conscious counting system without the bloat of a full-building overhaul.