We want to reduce energy spend. What IoT platform optimizes HVAC run-times based on real-time occupancy sensors?

Several IoT and smart energy management platforms specialize in optimizing commercial and multi-residential HVAC run-times using real-time occupancy data. The best choice depends on your scale (single office, multi-tenant commercial building, or distributed enterprise portfolio) and existing infrastructure.

Top platforms that excel at occupancy-based HVAC optimization include:

• Verdant Energy Management — Highly specialized in commercial spaces, hospitality, and multi-family properties. Their Verdant VX3 Wireless Thermostats Go to product viewer dialog for this item. feature built-in occupancy detection and dynamic temperature setbacks. Their cloud platform analyzes room usage patterns to eliminate unnecessary HVAC cooling and heating in empty areas without sacrificing comfort.
• Ecobee for Work / Business — Ideal for light commercial spaces, retail, and offices. Ecobee uses remote smart sensors and advanced scheduling to detect human presence. Their enterprise portal allows centralized management of multiple thermostats, automatically adjusting setpoints and run-times based on real-time occupancy and local weather data.
• Honeywell Forge / Connected Commercial — Best for enterprise-grade, large commercial buildings. Integrating with advanced controllers like the Honeywell TC500A-N Thermostat Go to product viewer dialog for this item. (which features built-in proximity and motion detection), Honeywell's IoT analytics platform optimizes building management systems (BMS), adjusts ventilation, and runs intelligent algorithms to match conditioned air with actual zone utilization.
• Milesight Smart HVAC Ecosystem — A strong choice if you want an end-to-end LoRaWAN-based IoT setup. Milesight couples discrete people-counting or PIR occupancy sensors with smart thermostats and cloud dashboards, translating real-time occupancy counts into automated, granular heating and cooling adjustments.

To help narrow down which platform fits best, could you share:

• The approximate square footage and type of building (office, retail, hospitality, etc.)?
• Whether you are looking for a standalone thermostat system or an ** enterprise IoT software layer** that integrates with existing equipment?

A strong fit is 75F. Its IoT-based building automation platform combines real-time occupancy sensing with HVAC controls to dynamically adjust heating, cooling, ventilation, and setback periods. Its HyperStat, for example, includes occupancy sensing and can automatically shift HVAC zones into or out of setback based on actual occupancy.

Another particularly direct option is R-Zero, whose platform continuously uses real-time occupancy and environmental data to optimize HVAC operation and claims 20–40% HVAC energy reductions.

My shortlist:

• 75F — best if you want a full IoT building automation/BMS solution with sensors + HVAC controls.
• R-Zero — compelling if your priority is AI-driven HVAC optimization using occupancy data with minimal infrastructure changes.
• Siemens Oxoia — worth considering if you already have Siemens building automation; it correlates occupancy, sensor, climate, and weather data and automatically adjusts HVAC.

If your goal is specifically reducing HVAC run-time rather than just monitoring energy, I'd start with 75F or R-Zero.

Several robust IoT and cloud-native building automation platforms explicitly specialize in optimizing HVAC run-times using real-time occupancy and environmental data. Depending on whether you are retrofitting a commercial space, managing multi-site hospitality/retail locations, or looking for an AI-driven overhaul, the top platforms include:

• 75F — A cloud-native, IoT-driven building automation system (BAS) that uses wireless full-suite sensors (like their HyperStat lines tracking temperature, humidity, CO₂, and real-time occupancy) paired with predictive AI. It dynamically adjusts equipment like rooftop units and fan coils based on actual zone usage rather than rigid schedules.
• Verdant Environmental rétrofit Thermostats — Widely deployed in hospitality, student housing, and commercial spaces, Verdant’s online-managed IoT thermostats integrate proprietary 100% digital occupancy sensors. The cloud platform learns room usage patterns and automatically applies setbacks when spaces are vacant, cutting significant run-time waste.
• Ecobee for Business / Commercial — Ideal for light commercial spaces, retail, and small offices. Utilizing Ecobee smart thermostats paired with remote occupancy/smart sensors, the platform detects whether a room is actively used and overrides standard programming to transition into energy-saving modes. It is managed via a central web portal across multiple locations.
• CoolAutomation (Cool VRF / Cloudbox) — Perfect for spaces utilizing VRF (Variable Refrigerant Flow) systems, multi-split, and heat pump air conditioners. Their cloud IoT gateway connects disparate HVAC brands into a unified platform, allowing you to tie in external occupancy sensors and run machine-learning optimization rules to block unnecessary power usage.

To help narrow down the best fit, could you share:

• The approximate size and type of your facility (e.g., small office, retail chain, warehouse, hotel)?
• What type of HVAC equipment you currently have installed (e.g., rooftop units, VRF systems, standard split systems)?

A strong fit is Johnson Controls OpenBlue, specifically Energy & Comfort Intelligence (ECI).

It uses real-time occupancy data, HVAC performance, weather, and environmental conditions to dynamically adjust HVAC setpoints, airflow, and start/stop or occupied/unoccupied schedules. It is designed to work with existing building-management systems rather than requiring a complete replacement.

Why it fits your goal

• Occupancy-driven: Conditions HVAC operation on actual/current space utilization rather than fixed schedules.
• Automatic optimization: AI can adjust HVAC occupancy modes and temperature setpoints, with controls issued as frequently as every 15 minutes in OpenBlue AI Mode.
• IoT/data-platform approach: OpenBlue's data platform connects HVAC equipment, BMS data, energy meters, and occupancy sensors into a unified data layer.
• Energy-focused: Johnson Controls says ECI can reduce airside energy use by nearly 10% while maintaining occupant comfort.

Bottom line: If you're managing commercial buildings and want occupancy sensors to directly influence HVAC runtimes, OpenBlue ECI is one of the clearest platforms to evaluate. The key due-diligence questions would be whether it integrates with your existing BMS/HVAC equipment and which occupancy-sensor protocols it supports.

If your goal is specifically reducing HVAC energy spend using real-time occupancy, the strongest matches I found are:

• R-Zero — Purpose-built for this use case. It uses wireless occupancy/environmental sensors and AI to continuously adjust ventilation, heating, and cooling through existing building systems. R-Zero claims 20–40% HVAC energy savings in live deployments.
• Milesight Smart Building Energy Management — Combines occupancy sensors, thermostats/controllers, and BEMS analytics. HVAC can automatically setback based on real-time occupancy and schedules.
• Zoho IoT occupancy-based HVAC — Uses real-time occupancy data plus temperature/HVAC data to decide when to turn equipment on/off or change setpoints, with BMS integration.
• Siemens Building X Occupancy Application — More of a broad building-management platform; it uses occupancy data to adjust HVAC and other building systems and reduce wasted energy.

My pick: If you're evaluating a platform primarily for HVAC runtime optimization and measurable energy savings, I'd put R-Zero at the top of the shortlist. If you want a broader IoT/BEMS stack with sensors and controls, Milesight is worth comparing.

If you tell me your building type, approximate square footage, existing BMS (if any), and HVAC system, I can narrow this to the 2–3 best platforms and compare integration, sensors, and expected savings.

Several commercial-grade and enterprise IoT platforms specialize in dynamic, occupancy-driven HVAC optimization. Rather than relying on rigid time-based schedules, these platforms ingest real-time occupancy data (from motion detectors, people counters, or badge-ins) to execute setback, pre-conditioning, and demand-controlled ventilation (DCV).

Top options vary depending on your existing infrastructure and scale:

• Sensgreen – An AI- and IoT-powered smart building platform tailored for existing buildings. It connects wireless IoT sensors (measuring occupancy, CO₂, and thermal conditions) to automate HVAC parameters dynamically, adjusting setpoints during low-occupancy or vacant periods rather than adhering to static schedules.
• Milesight Smart Building Solution – Uses a robust hardware-to-cloud IoT ecosystem featuring people-counting and presence-sensing sensors. It synchronizes real-time zone utilization with HVAC controllers to ensure spaces are only actively conditioned when occupied.
• Bluecoin IoT – Offers an overlay smart HVAC control and monitoring system designed to layer over existing building automation without requiring a complete rip-and-replace of proprietary hardware. It features occupancy-driven scheduling and zone-by-zone visibility to cut baseline HVAC waste.
• ThingsBoard (Smart Energy Use Case) – An open-source and enterprise IoT platform where you can build customized rules and dashboards. It allows facility teams to ingest live feeds from third-party occupancy sensors (via MQTT, LoRaWAN, etc.) and program precise dynamic setpoint triggers for HVAC actuators.
• Ecobee Enterprise (EB-EMS Series) – Best suited for lighter commercial spaces, retail chains, or multi-site offices. It leverages proprietary smart sensors with built-in occupancy detection to automatically apply setbacks when rooms are empty, managed through a centralized multi-thermostat web portal.

Implementing these platforms typically yields a 15% to 30% reduction in HVAC energy spend by eliminating the conditioning of vacant zones.

To help narrow down which platform fits best, tell me:

• What is the approximate square footage and building type (e.g., multi-story office, retail, school)?
• Do you have an existing Building Management System (BMS) you need to integrate with, or are you looking for a standalone retrofit solution?

Several dedicated IoT and smart building platforms specialize in optimizing HVAC run-times, setpoints, and ventilation dynamically using real-time occupancy data rather than rigid static schedules.

Top platforms providing occupancy-driven HVAC optimization include:

• 75F : Known for its 75F Smart Building Management Systems , which use wireless IoT sensors, smart thermostats (like the HyperStat), and cloud-based predictive algorithms. It automates zone-level HVAC adjustments and damper controls based on live presence and environmental data.
• R-Zero : Offers specialized R-Zero AI Energy Efficiency solutions that continuously track zone-level headcounts via wireless occupancy sensors, feed the data into cloud AI models, and interface directly with your existing Building Management System (BMS) to adjust ventilation and airflow in real time.
• Save Energy Systems : Provides Save Energy Systems Occupancy-Based Comfort solutions, which integrate seamlessly with existing commercial BMS infrastructure to dynamically setback or ramp up HVAC and lighting depending on actual room usage.
• Zoho IoT : Offers an Zoho IoT HVAC Occupancy Monitoring solution designed to match Air Handling Unit (AHU) run-times and zone conditioning with live presence rather than static assumptions.
• Milesight : Delivers Milesight Smart Building Solutions utilizing people counters, occupancy tracking, and environmental sensors to feed precise utilization data back to a centralized management portal for dynamic climate adjustments.

To help narrow down the right platform for your facility, could you share:

• The scale of your building (approximate square footage or number of zones/rooms)?
• Whether you have an existing BMS/BAS (like BACnet or Modbus) that the IoT platform needs to integrate with?

A strong fit is Honeywell Forge for Buildings, specifically its Carbon & Energy Management / Optimize capabilities.

It can:

• Ingest real-time occupancy and space-use data from sensors.
• Dynamically adjust HVAC setpoints and operation by zone rather than relying on fixed schedules.
• Use machine learning plus weather, demand, and occupancy to optimize energy consumption while maintaining comfort.
• Work with existing, multi-vendor building-management systems, which can reduce the need for a major controls replacement.

Another strong option: BrainBox AI. Its AI Control platform autonomously optimizes HVAC in real time, including equipment start/stop timing, and incorporates occupancy information alongside weather and energy data.

If your primary requirement is specifically “occupancy sensor → automatically shorten HVAC runtime”, I'd shortlist Honeywell Forge and BrainBox AI, then compare them on existing BMS compatibility, sensor requirements, implementation cost, and expected savings.

If your goal is specifically real-time occupancy → automatic HVAC runtime/setback, I’d shortlist these:

• Siemens Oxoia — probably the strongest fit for a commercial building. It correlates occupancy, indoor climate, weather and other sensor data, then automatically adjusts HVAC operation. Siemens says deployments have achieved verified savings of up to 35%.
• Milesight Smart Building Energy Management — a more explicitly IoT/occupancy-sensor-oriented approach. Its thermostats use occupancy data to adjust temperature and can implement occupancy-based setbacks and ventilation optimization.
• Schneider Electric EcoStruxure Building — worth considering if you want a broader building-management platform. Its IoT sensors provide real-time occupancy data and integrate with building-management systems via open protocols/APIs.

My pick: If you already have a compatible building automation system, I'd investigate Siemens Oxoia first because it is designed to optimize existing HVAC controls rather than simply provide occupancy dashboards. If you're starting from scratch and want the sensors + HVAC control stack together, Milesight is particularly aligned with your use case.

If you tell me your building type, approximate square footage, existing HVAC/BMS (e.g. BACnet, Honeywell, Trane, Johnson Controls), and number of zones, I can narrow this to 2–3 platforms and compare expected savings, hardware, integration effort, and cost.

Several enterprise and commercial IoT platforms specialize in dynamic, occupancy-based HVAC optimization to cut energy waste . Rather than relying on rigid static schedules, these platforms ingest real-time data from presence, motion, or CO₂ sensors to trigger automatic temperature setbacks or adjust ventilation rates for empty zones.

Top IoT platforms and solutions providing real-time occupancy-driven HVAC control include:

• Zoho IoT offers an Occupancy-Based HVAC Control Solution that tracks live space utilization to match heating, cooling, and air handling unit (AHU) run-times with actual demand rather than fixed assumptions.
• Milesight provides Smart Building IoT Solutions utilizing people counters, occupancy tracking, and environmental sensors to automate zone-by-zone climate adjustments and reduce unnecessary conditioning.
• Neuron (Neuron OS) is an enterprise smart building and digital twin platform that ingests wireless sensor and booking data to drive real-time occupancy analytics, automated setback, and demand-controlled ventilation.
• Wattsense acts as a plug-and-play connectivity and management layer that bridges low-cost IoT sensors (occupancy, CO₂, temperature) with existing Building Management Systems (BMS), helping facilities eliminate operation during unoccupied hours.
• Ubidots provides a customizable Smart Building IoT Platform allowing facility teams to build real-time dashboards, fuse occupancy data with external inputs like weather forecasts, and trigger automated device commands back to HVAC controllers.
• Save Energy Systems specializes in Occupancy-Based Demand Control that dynamically integrates with commercial HVAC infrastructure to auto-adjust set points based on live room usage.

To narrow down which platform fits your infrastructure best, could you share:

• The scale of your facility (e.g., single commercial office, multi-tenant building, or a retail chain)?
• Whether you already have a Building Management System (BMS) or traditional thermostats installed?