MultiSenseAIMultiSenseAI is an AI-powered multi-sensor platform addressing a critical gap in warehouse fire protection. We combine gas sensors, thermal imaging, and aspirating smoke detection to detect threats before visible flames — with a clear roadmap to full Canadian regulatory certification.
Warehouse fire protection is a large, underserved market — conventional systems fail to address the unique physics and regulatory demands of industrial storage
In facilities with 8–15 m ceilings, smoke rises and disperses horizontally before reaching conventional point detectors at roof level. Aspirating Smoke Detection (ASD) systems are required to draw air samples continuously from the protected area, providing reliable early warning regardless of ceiling height.
NFPA 13 and the NBC require different levels of fire protection based on stored goods. Plastics, aerosols, and rack storage demand higher hazard ratings — and most existing systems lack the intelligence to adapt protection level to the actual hazard.
Loading docks create dust, diesel exhaust, and rapid temperature swings that trigger conventional smoke and heat detectors. AI-based multi-sensor correlation eliminates nuisance alarms while maintaining sensitivity to real threats.
Annual CAN/ULC-S536 inspections, ULC-S561 third-party monitoring, and provincial variations (Ontario Fire Code, BC Fire Code) create a complex compliance landscape. Facilities that automate this documentation gain a significant operational advantage — and a growing number of insurers now require it.
Five integrated detection layers engineered for the physical demands of high-ceiling warehouse environments
CO, CO₂, VOC, smoke, and heat sensors monitor the environment continuously, detecting combustion by-products before visible flames develop
High-sensitivity ASD systems draw air samples through pipe networks across high-ceiling areas, providing reliable detection where point detectors cannot reach
Infrared cameras continuously scan for heat anomalies invisible to the naked eye — pinpointing the exact source and confirming threats before full ignition
Sensor fusion eliminates false alarms from dust, exhaust, and humidity; automatic integration with HVAC shutdown, elevator recall, and sprinkler systems
Signal transmission architecture designed for integration with ULC-S561 certified monitoring centres; on-site notification via sirens, strobes, and voice evacuation
A complete hardware stack engineered to meet Canadian fire alarm standards, unified under a single intelligent platform
Central intelligence hub that monitors all detection devices, activates notification appliances, and transmits signals to the monitoring centre — engineered to ULC-S527 performance requirements.
Photoelectric detectors for slow-smouldering fires and ionization detectors for fast-flaming fires — engineered to CAN/ULC-S531 performance requirements and placed to NBC spacing guidelines.
Fixed-temperature and rate-of-rise heat detectors for kitchens, mechanical rooms, and loading docks where smoke detectors are not suitable — engineered to CAN/ULC-S529 performance requirements.
Detects heat sources and hotspots invisible to standard cameras — identifying overheating equipment, smouldering pallets, and electrical faults before smoke develops.
High-sensitivity laser-based detection drawing air through pipe networks across high-ceiling warehouse areas. Essential for facilities where point detectors cannot meet response time requirements.
Horns, strobes, and voice evacuation speakers positioned to NBC audibility and visibility requirements — synchronized for orderly occupant evacuation.
Placed at exit points and high-risk areas to NBC layout requirements, allowing staff to initiate alarm manually and trigger suppression systems.
Seamless coordination with building systems for automatic response
Automatic HVAC shutdown on alarm prevents smoke from spreading through ductwork to unaffected zones
Firefighter elevator recall initiated automatically, returning all cars to ground floor and locking out normal operation
Fire doors held open for access control are automatically released on alarm to restore compartmentation
Integration with water mist, clean agent (FM-200, Novec), and CO₂ suppression systems for automatic activation
Signal architecture designed for connection to a ULC-S561 certified monitoring centre — a requirement of the Ontario Fire Code and most provincial authorities
Open protocol support for integration with building management systems via BACnet, Modbus, and SNMP
The platform is designed from the ground up to support the full Canadian fire alarm certification lifecycle
Target certifications for market entry in Canada's warehouse and logistics sector
The platform is designed to schedule and track the annual inspection tasks required under CAN/ULC-S536 — smoke detector sensitivity, battery load tests, and monitoring signal verification — eliminating manual paper trails.
Every alarm event, inspection result, and corrective action is logged with timestamps and technician records — structured for fire authority inspection and insurer reporting.
Continuous system health monitoring flags faults, component degradation, and sensitivity drift — enabling proactive maintenance before compliance issues arise.
The platform is designed to generate the test reports required for third-party CAN/ULC-S537 verification of new installations — a key milestone on the path to full certification.
We're looking for strategic partners who understand the scale of the opportunity in industrial fire safety. If you'd like to learn more about MultiSenseAI, our technology, and our path to market — we'd like to hear from you.
Advanced fire detection solutions for industrial and logistics environments
We are a Canadian-Polish engineering partnership committed to advancing industrial safety through innovation. Our mission is to bring AI-powered, multi-sensor fire detection to the warehouse and logistics sector — closing the gap between what conventional systems offer and what the Canadian regulatory landscape demands.
Mississauga, Ontario, Canada
Poland