Every building is full of signals — occupancy, energy, water, air quality, and equipment health. Sentrivo embeds AI into the sensors and controllers that capture them, turning commercial and residential properties into efficient, safer, and more valuable assets.
Discuss Your ProjectEdge models tune HVAC, lighting, and equipment in real time based on how spaces are actually used.
Occupancy is measured with thermal, ToF, and radar sensors that count people without identifying them.
Vibration, current, and acoustic signatures reveal failing equipment and leaks before they become expensive.
Telemetry flows into one data platform so owners compare performance across every property.
Occupancy-aware HVAC and lighting control with edge models that forecast load and shift consumption away from peak pricing.
Anonymous people counting and desk-level utilization that helps owners and tenants right-size space and plan leasing decisions.
Vibration and current sensing on elevators, pumps, chillers, and air handlers that predicts failures and schedules repairs automatically.
Acoustic and flow anomaly detection that identifies leaks and triggers automatic shutoff valves, plus air-quality and humidity monitoring.
On-device vision at entrances and mailrooms that detects tailgating, loitering, and package events without streaming video to the cloud.
An AI agent over building telemetry, work orders, and lease data that answers questions like “which properties are trending over energy budget?”
Define the outcome, the signals available, and the power, cost, and latency budget the solution must live within.
Build on target hardware early, proving the sensing, firmware, and AI model under real-world conditions.
Connect devices to APIs, data platforms, dashboards, and AI agents so insight reaches the people who act on it.
Ship with telemetry and observability in place, then keep improving models with real field data.
Tell us about the signals, devices, and outcomes you care about — we will help you shape a prototype and a path to production.
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