Modern Infrastructure Demands a New Approach
Buildings and cities need smarter infrastructure without higher network costs, privacy risks, or complex installations. SensiML brings intelligence directly to low-power sensors, enabling real-time insights while keeping sensitive raw data at the edge.
Key market drivers
- Smart building technology market projected at $570B by 2030
- Connected worker device market forecast to exceed $12B by 2027
- Global smart city investment exceeding $1.4T by 2030
- Energy efficiency mandates driving intelligent HVAC/lighting adoption
- Privacy regulation blocking cloud-based acoustic/visual monitoring
$12B+
Connected worker device market by 2027
Commercial wearables and smart building tech represent a fast-growing adjacent market SensiML directly enables.
Battery-first
Wireless, battery-powered deployment
No wired power or connectivity infrastructure. Compatible with NB-IoT and LoRa low-bandwidth networks.
Privacy-safe
Event-level outputs only — no raw data exposure
On-device processing eliminates the privacy and security risks of centralized audio/visual analytics.
Market Position & Proven Deployments
Smart Workplace & Intelligent Buildings
SensiML enables building operators to add AI-driven intelligence — occupancy sensing, predictive HVAC maintenance, meeting room utilization, and janitorial automation — without exposing sensitive sensor data through centralized cloud analytics. Endpoint AI algorithms execute fully within the sensor node, interfacing to existing building management systems via simple event triggers. This eliminates both the privacy concerns of audio/video monitoring and the integration risk of touching legacy HVAC, lighting, and security infrastructure.
- Occupancy-based HVAC and lighting control — reduces energy costs by 20–30% in proven deployments
- Predictive HVAC maintenance via acoustic and vibration monitoring at the unit
- Meeting room and collaborative space utilization tracking without camera-based surveillance
- Janitorial service automation triggered by occupancy and activity events
Smart Cities & Intelligent Infrastructure
SensiML's endpoint AI models enable low-cost, easily deployable smart city sensors that convey actionable insights over low-bandwidth NB-IoT and LoRa networks — rather than streaming raw data across expensive, high-throughput cellular infrastructure. Solar- and battery-compatible power profiles make city-scale sensor networks economically viable for the first time. Proven applications span acoustic event detection, traffic monitoring, and smart road sensing — with privacy-safe local processing built in by design.
- Acoustic event triggers: gunshot, glass break, vehicle accident — real-time without cloud latency
- Smart road reflector sensors with on-device vehicle classification
- Activity recognition from low-resolution PIR sensors — no camera, no privacy exposure
- Compatible with NB-IoT and LoRa for cost-effective large-scale city deployments
Retail Operations & Space Intelligence
Retail operators need granular, real-time insight on customer movement, space utilization, and product interaction — but camera-based analytics face mounting privacy regulation and consumer trust barriers. SensiML enables smart retail sensing using PIR, IR grid array, and audio sensors processed entirely on-device, delivering actionable traffic and behavior insights without exposing identifiable data. The low-cost, wireless endpoint architecture delivers rapid ROI with minimal installation complexity.
- In-store traffic profiling for floor plan and product placement optimization
- Dressing room, checkout line, and aisle occupancy management
- Human-centric lighting automation based on real-time space utilization
- Loss prevention and security alerting without camera-based surveillance infrastructure
Validated Use Cases
Facilities
Smart Building Occupancy Control
PIR and audio-based occupancy detection driving HVAC and lighting — no camera, no privacy risk.
Buildings
Predictive HVAC Maintenance
Acoustic and vibration monitoring of HVAC units predicting bearing and compressor failures.
Smart Cities
Smart Road Reflector
Intelligent raised pavement markers classifying vehicle types and detecting traffic anomalies on-device.
Public Safety
Gunshot & Acoustic Event Detection
Real-time acoustic event classification (gunshots, glass break, accidents) for public safety applications.
Retail
Retail Traffic Analytics
Customer movement profiling using IR grid array sensors — privacy-safe, no camera required.
Workforce
Commercial Worker Wearables
Activity and safety monitoring wearables for commercial facility workers, security staff, and field technicians.
SensiML's privacy-by-design architecture — where on-device processing means sensitive audio and motion data never leaves the endpoint — is rapidly becoming a regulatory requirement rather than a feature preference. This positions SensiML as the compliant-by-default solution in commercial sensing as GDPR, CCPA, and emerging AI regulation tighten restrictions on centralized biometric and behavioral analytics.