AI-Sense s.r.o.
Sensor-based AI for real-time occupancy and movement analytics in offices and facilities.
Website: https://ai-sense.eu
Cover Block
PUBLIC
| Company Name | AI-Sense s.r.o. |
| Tagline | Sensor-based AI for real-time occupancy and movement analytics in offices and facilities. |
| Headquarters | Štúrovo, Slovakia |
| Founded | 2024 |
| Business Model | Hardware + Software |
| Industry | Other |
| Technology | AI / Machine Learning |
| Geography | Eastern Europe |
Links
PUBLIC
- Website: https://ai-sense.eu/
- LinkedIn: https://sk.linkedin.com/company/ai-sense-ltd
Executive Summary
PUBLIC
AI-Sense s.r.o. is a Slovak hardware-software venture applying sensor-based AI to automate office occupancy and resource management, a bet that deserves investor attention as a capital-light, data-centric approach to the growing market for workplace efficiency tools. The company, formed in 2024, builds on a claimed decade of experience in Time of Flight sensory technology, which it says was first deployed in Europe in 2012, suggesting a founder's deep domain knowledge applied to a new corporate entity [ai-sense.eu, retrieved 2024]. Its core product, the Hybro system, processes real-time image data on-device using a quad-core CPU and a Neural Net Accelerator, then sends aggregated people and vehicle counts to a backend for analysis and recommendations, aiming to streamline time tracking, employee counting, and meeting room bookings [ai-sense.eu, retrieved 2024]. The company's public leadership is anchored by CEO Tibor Gajdár, whose background includes roles at Intechsys Ltd., Thales Transport & Security, and T-Systems Hungary Ltd., indicating a mix of engineering and enterprise systems experience [RocketReach, retrieved 2024]. Capitalization is not publicly disclosed; the company appears to be in a very early, likely bootstrapped stage, with no verified funding rounds or external investor announcements. Over the next 12-18 months, the key watchpoints will be the validation of its proprietary sensor-AI stack through initial customer deployments, any movement toward a formal funding round, and the articulation of a clear business model beyond the currently listed online shop.
Data Accuracy: YELLOW -- Core product claims sourced from company website; leadership data from one third-party database with partial corroboration from LinkedIn.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Business Model | Hardware + Software |
| Industry / Vertical | Other |
| Technology Type | AI / Machine Learning |
| Geography | Eastern Europe |
Company Overview
PUBLIC
AI-Sense s.r.o. is a Slovak technology company established in 2024 and headquartered in Štúrovo, a town on the border with Hungary [LinkedIn, retrieved 2024]. The company's public narrative emphasizes a deep legacy in sensor technology, claiming over a decade of experience using Time of Flight sensory systems for people counting and automated passenger counting, and positioning itself as one of the first European deployers of this technology back in 2012 [ai-sense.eu, retrieved 2024]. This timeline suggests the operational history and intellectual property may originate from the founders' prior ventures or projects, now being channeled into the newly formed legal entity.
The company's leadership is publicly associated with Tibor Gajdár, identified as the Chief Executive Officer [LinkedIn, retrieved 2026] [RocketReach, retrieved 2024]. His professional background includes previous roles at Intechsys Ltd., Thales Transport & Security, Inc., and T-Systems Hungary Ltd., indicating a career trajectory in technology and transport systems [RocketReach, retrieved 2024]. A review of available public records and news databases did not surface named co-founders, a detailed founding story, or any third-party coverage of funding rounds or significant corporate milestones beyond the company's own website and a portfolio listing on the S2 Xpeed platform [S2 Xpeed, retrieved 2024].
Data Accuracy: YELLOW -- Company details from its own website and LinkedIn; executive role corroborated by two sources but background from a single database.
Product and Technology
MIXED The company's proposition is anchored in a hardware-first approach, combining custom sensor units with on-device AI processing to deliver real-time occupancy analytics. According to its website, the system performs "real time image processing and tracking" directly on the sensor's quad-core CPU, leveraging a dedicated Neural Net Accelerator for inference before sending processed data,counts of people, cars, or occupancy status,to a cloud backend [ai-sense.eu]. This edge-compute architecture suggests a focus on data privacy and low-latency response, positioning it for applications in security and resource management where immediate feedback is critical.
The technology stack, as described in a portfolio listing, incorporates the YOLOv8 model for object detection alongside other deep learning algorithms for predictive analytics [S2 Xpeed]. A core part of the company's narrative is its claimed heritage in Time of Flight (ToF) sensory technologies, stating it has "over 10 years of experiences" and was "one of the first company in Europe who deployed already this technology back to year 2012" [ai-sense.eu]. This long-tenured expertise, which predates the 2024 founding of AI-Sense s.r.o., points to a possible technology transfer or founder background rather than a new invention. The primary application surfaced is the "Hybro" solution, which aims to streamline employee time tracking, counting, and meeting room bookings [ai-sense.eu].
No public roadmap or future product announcements were identified. The available descriptions remain at a functional level, detailing the system's inputs and outputs but not providing technical specifications, sensor accuracy metrics, or integration capabilities with major building management systems. The product's commercial availability is implied by a shop page and contact information, but pricing and detailed datasheets are not publicly listed.
Data Accuracy: YELLOW -- Product claims are sourced from the company's own website and one portfolio page; technical stack and historical claims are unverified by third parties.
Market Research
PUBLIC The market for sensor-driven workplace analytics is being reshaped by a post-pandemic push for operational efficiency and hybrid work models, creating a window for solutions that can quantify space utilization and employee presence.
Third-party market sizing specific to AI-Sense's niche of sensor-based office occupancy analytics is not publicly available. However, analogous reports on the broader smart building and workplace management software markets provide a relevant frame of reference. The global smart building market was valued at approximately $80 billion in 2023 and is projected to grow to over $130 billion by 2028, according to a report cited by market research firms [Market Data Forecast, 2023]. Within this, the workplace management software segment, which includes desk and room booking, is a key growth driver.
The primary demand driver is the structural shift to hybrid work, which has made fixed office costs harder to justify and increased the need for data on actual space usage. Companies are seeking to optimize real estate footprints, reduce energy consumption, and improve employee experience through better space allocation. Secondary tailwinds include tightening corporate sustainability mandates, which tie energy savings to occupancy data, and advancements in low-cost, privacy-preserving sensor hardware that make deployments more feasible.
Key adjacent markets include traditional access control and security systems, which are expanding into analytics, and pure-software workplace platforms like Envoy or Robin. These often rely on manual check-ins or badge data rather than passive, sensor-based counting. Substitute approaches include manual observation studies, badge swipe analytics, and software-based calendar integrations, all of which trade off accuracy, granularity, or real-time capability.
Regulatory forces are generally supportive, particularly in the EU, where directives like the Energy Performance of Buildings Directive (EPBD) push for smarter building management. However, data privacy regulations, especially the GDPR, impose a significant design constraint, favoring solutions like AI-Sense's that process data locally on the sensor and transmit only anonymized counts.
Global Smart Building Market 2023 | 80 | $B
Global Smart Building Market 2028 (projected) | 130 | $B
The projected growth in the broader smart building market suggests a receptive environment for niche solutions that address specific operational pain points, though the exact serviceable market for dedicated occupancy sensors remains a fraction of this total.
Data Accuracy: YELLOW -- Market sizing is drawn from analogous, broader industry reports; specific TAM for sensor-based occupancy analytics is not confirmed by independent sources.
Competitive Landscape
MIXED
AI-Sense positions itself at the intersection of sensor hardware and AI analytics for workplace occupancy, a niche with established incumbents and a growing number of software-focused challengers.
Given the absence of named competitors in the structured sources, a direct comparison table cannot be rendered. The competitive analysis must therefore rely on a mapping of the broader category.
The competitive map for occupancy and movement analytics is fragmented across several layers. At the hardware and integrated solution tier, established players like Bosch Building Technologies and Johnson Controls offer comprehensive building management systems that include people counting as a feature within a much larger, capital-intensive suite. These incumbents compete on enterprise-scale reliability and integration, but their solutions are often proprietary and costly. A second tier consists of specialized sensor and analytics providers, such as Infogrid or VergeSense, which focus on smart building IoT platforms, often using off-the-shelf hardware paired with cloud software. These challengers compete on ease of deployment and data insights. AI-Sense's claimed wedge, a proprietary sensor with on-device AI processing, suggests it aims to compete in this second tier but with a heavier emphasis on the hardware and edge compute layer. Adjacent substitutes include software-only solutions that use existing camera infrastructure or Wi-Fi/Bluetooth sniffing, which trade lower fidelity for easier installation.
AI-Sense's stated defensible edge rests on its claimed decade of experience with Time of Flight (ToF) sensor technology and its focus on edge processing [ai-sense.eu, retrieved 2024]. The durability of this edge is questionable. The ten-year history predates the company's 2024 founding, suggesting it is an attribution of founder experience rather than a corporate asset. While expertise in ToF is a technical differentiator, it is a perishable advantage unless protected by patents or unique data moats, neither of which are confirmed. The decision to perform inference on the sensor itself could offer benefits in data privacy and latency, but it also limits the complexity of the AI models that can be run compared to cloud-based alternatives.
The company's most significant exposure is its go-to-market capability against well-funded, software-centric competitors. Firms like VergeSense have raised tens of millions in venture capital to fund sales and marketing, building brand recognition and channel partnerships [Crunchbase]. AI-Sense, with no publicly disclosed funding and a headquarters in Štúrovo, Slovakia, appears to lack the capital and channel reach to compete for large, multi-site enterprise deals in Western Europe or North America. Its exposure is not to a single named competitor's feature, but to the broader market's preference for vendor-agnostic software platforms over bundled hardware-software solutions from unknown entities.
The most plausible 18-month scenario sees the market continuing to consolidate around platform plays. A winner in this scenario would be a company like Infogrid, which can aggregate data from diverse sensor types into a unified dashboard, making the hardware layer increasingly commoditized. A loser would be any hardware-focused entrant, like AI-Sense, that fails to either secure significant capital for scale or to pivot to a pure software licensing model. For AI-Sense to avoid this outcome, it must rapidly convert its technical claims into a demonstrable, cost-advantaged deployment with a referenceable enterprise customer, proving that its integrated edge solution offers tangible ROI that software overlays cannot match.
Data Accuracy: YELLOW -- Competitive analysis is inferred from category mapping; no direct competitor data was available in provided sources.
Opportunity
PUBLIC The prize for AI-Sense is the automation of physical space management, a multi-billion dollar operational cost center where manual processes and disconnected data still dominate.
The headline opportunity is to become the default operating system for smart facilities, beginning with office occupancy. The company's claim to over a decade of experience in Time-of-Flight sensory technology, dating to deployments in 2012, suggests a technical foundation that predates the recent wave of AI-powered workplace analytics [ai-sense.eu, retrieved 2024]. This positions the company not as a newcomer building on open-source models alone, but as a specialist integrating proven sensor hardware with modern AI inference. If this integration is defensible, the outcome is a category-defining platform that moves from counting people to prescribing resource allocation, energy use, and security protocols in real time, a logical extension of its stated aim to "automate daily operations of offices" [LinkedIn, retrieved 2024].
Two or three growth scenarios, each named The company's path to scale hinges on translating its sensor and AI stack into broader, repeatable use cases.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Hybro as a workplace suite | The Hybro solution for time tracking and room booking becomes a mandated efficiency tool within mid-sized European corporations, displacing point solutions. | A partnership with a major European property management or HR software platform. | The product is already described as a streamlined solution for corporate managers [ai-sense.eu, retrieved 2024]. The focus on a tangible ROI through time and cost savings aligns with buyer needs in a constrained economic environment. |
| Sensor-as-a-service for smart cities | The core people and vehicle counting technology is licensed or deployed as a service for municipal traffic flow, public transport crowding, and urban security applications. | Selection for a public tender or pilot project in a Slovak or Hungarian city. | The company's cited experience in Automated Passenger Counting (APC) and vehicle tracking provides a direct technical bridge to municipal use cases [ai-sense.eu, retrieved 2024]. The S2 Xpeed portfolio listing frames the technology as supporting "security protocols" and "resource management" at a systems level [S2 Xpeed, retrieved 2024]. |
What compounding looks like The potential flywheel is data-driven. Each deployed sensor node generates a stream of occupancy and movement data. Aggregated across multiple customer sites, this data could refine the company's predictive analytics for space utilization, creating a feedback loop where the system's recommendations become more accurate and valuable. This improves the core product, which in turn drives more deployments. The company's claim of using "AI-based recommendations" and "predictive analytics" suggests an ambition to build this data moat [S2 Xpeed, retrieved 2024]. Early evidence of this compounding effect would be a published case study showing how data from initial deployments improved algorithm performance for subsequent clients, a point not yet visible in public sources.
The size of the win A credible comparable is the public company VeriSign, Inc., though in a different domain; it illustrates the value of a managed, essential infrastructure service. A more direct, though private, comparison would be to companies like Density (occupancy sensors) or Infogrid (IoT for building management), which have raised significant venture capital at valuations reportedly over $100 million. If the "workplace suite" scenario plays out, and AI-Sense captures a modest single-digit percentage of the European market for smart office solutions,a market estimated to reach several billion euros by the end of the decade,the company could attain a valuation in the high tens or low hundreds of millions of euros (scenario, not a forecast). The absence of a clear, scaled public pure-play in sensor-based AI for facilities underscores both the greenfield opportunity and the difficulty of establishing a durable market position.
Data Accuracy: YELLOW -- Scenarios and opportunity size are extrapolated from company claims and a portfolio listing; no third-party market analysis or performance data corroborates the growth potential.
Sources
PUBLIC
[LinkedIn, retrieved 2024] AI-Sense | LinkedIn | https://sk.linkedin.com/company/ai-sense-ltd
[ai-sense.eu, retrieved 2024] ai-sense.eu | https://ai-sense.eu/
[S2 Xpeed, retrieved 2024] S2 Xpeed portfolio | https://s2xpeed.com/Startups/ai-sense/
[RocketReach, retrieved 2024] Tibor Gajdár Email & Phone Number | AI-Sense s.r.o. Chief Executive Officer Contact Information | https://rocketreach.co/tibor-gajdar-email_93509621
[LinkedIn, retrieved 2026] Tibor Gajdár - CEO at AI-Sense s.r.o. | LinkedIn | https://www.linkedin.com/in/tibor-gajd%C3%A1r-953a5411a/
[Market Data Forecast, 2023] Global Smart Building Market Report | https://www.marketdataforecast.com/market-reports/smart-building-market
Articles about AI-Sense s.r.o.
- AI-Sense Puts a Sensor-Based Occupancy Counter in the Office's Ceiling — The Slovak startup claims a decade of experience in Time of Flight technology, but its 2024 founding date leaves the renewal motion unproven.