Heat and cool with less energy, peak load and manual tuning
A local AI reads every sensor across the HVAC and energy plant around the clock, understands how heating, cooling and load pull against each other, and proposes the moves that cut energy while holding every setpoint. The team stays in control the whole way.
100% local Works offline Explainable decisions Embeds in your product
On-Device AgentRuns 100% locally on your hardwareTemperature and humidityHVAC AI is a local decision layer that sits on top of existing controllers, a BMS and field sensors and coordinates heating, cooling and energy toward one goal at once instead of one loop at a time. It runs entirely on the OEM's own edge hardware with no cloud, keeps optimizing when the internet drops, and logs every decision for a full audit trail. It does not replace the controls that are already installed. It adds an intelligent layer that HVAC and energy OEMs can embed in their own product.
Loops that fight, energy that leaks
A modern building runs dozens of HVAC loops and they all pull against each other. More cooling holds the setpoint but spikes the peak demand charge. More fresh air improves air quality but drives up heating. Today each controller optimizes its own loop and the utility meter optimizes nothing. Nobody optimizes the whole plant against energy cost and equipment wear.
- 01
Rising energy cost
Heating, cooling and ventilation move with volatile power prices, and fixed schedules cannot react in time.
- 02
Costly demand peaks
A few short spikes in cooling load can set the monthly demand charge, and nobody flattens them ahead of time.
- 03
Equipment runs blind
Chillers, pumps and fans follow fixed setpoints, so drift, fouling and early faults go unnoticed until efficiency drops.
Observe, plan and act, on your own hardware
The agent reads the sensors continuously, weighs the trade offs against the operator's targets and drives the actuators and controllers that are already installed. It plans ahead instead of only reacting, and it explains every move in plain language.
- 1
Look ahead
Tomorrow will be hot and tonight power is cheap. So the agent pre cools the building mass overnight, shifts the chiller staging and starts the plant in steps to avoid a demand peak.
- 2
Balance every goal at once
It lowers energy, shaves the peak load, holds every setpoint and protects the equipment at the same time, not one target after another.
- 3
Explain and stay in control
Ask why it staged a chiller and it answers in plain language. Every decision is logged and auditable, and the team sets the guardrails and can override any action.
On-Device AgentTemperature and humidityOptimize the whole energy bill, not one loop
OEMs and operators do not want the lowest fan speed. They want the lowest energy cost at the right conditions. The agent optimizes the numbers that move the bill. The ranges below come from independent studies for this technology category.
One agent, the whole plant
Energy and peak optimization
It balances heating, cooling and ventilation against power prices and demand charges, pre conditions the building mass when energy is cheap and shaves the peaks that set the bill.
Safe operation
It watches air quality, freeze risk and refrigerant and pressure limits, holds every condition inside a safe band and raises an alert in seconds when something drifts.
Plant efficiency
It tracks chiller, pump and fan health, spots fouling and drift early and opens a maintenance task before efficiency slips or a unit fails.
Audit trail and registry
Every decision and setpoint change is logged and traceable through an agent registry, which matters when the operation answers to owners and regulators.
Fits your existing controls
It speaks Modbus, BACnet and OPC-UA, reads on device cameras for occupancy and equipment checks and drives the controllers and actuators already installed.
Fleet across sites
Building 7 runs on less energy than building 4. The fleet view finds that strategy, pushes it everywhere over the air and keeps every site current.
See it run on your building
Book a walkthrough on a live system and watch the agent balance energy, peak load and setpoints in real time, all on local hardware.
See it run on your building
Book a walkthrough on a live system and watch the agent balance energy, peak load and setpoints in real time, all on local hardware.
Talk to usYour data never leaves the building
The agent runs entirely on the OEM's or operator's own hardware. No cloud, no data leaving the building, and it keeps optimizing even when the internet drops. Every action is logged and auditable, which matters when the operation answers to owners and regulators.
- 100% local, no cloud dependency
- Keeps optimizing through internet outages
- Works with the existing BMS, controllers and sensors
- Full audit trail of every decision
- Explainable, not a black box
- Designed for EU Cyber Resilience Act readiness
Questions HVAC and energy OEMs ask
Do we have to replace our controllers or BMS?
No. The agent adds a decision layer on top of the existing controllers, BMS and sensors over Modbus, BACnet or OPC-UA. It coordinates what is already installed toward energy and load goals, and full manual control stays with the team.
Does it run without internet?
Yes. Everything runs locally on your own hardware, so the agent keeps optimizing during outages and no building or energy data ever leaves the site.
How much energy can it save?
NREL modeling for this category reports up to about 31% building energy and up to about 42% HVAC energy from smart automation. We do not promise a fixed number. The real figure gets measured in a pilot on your equipment and tariff.
Can we embed it in our own product?
Yes. HVAC and energy OEMs run the agent on their own edge hardware and ship it inside their product. It fits existing controls and stays fully local, so the intelligence is yours.
How does it explain its decisions?
Ask why it staged a chiller or shifted a load and it answers in plain language, backed by a full audit log. The team sets the guardrails and can override any action at any time.
Does it work across several buildings?
Yes. A fleet view compares buildings and sites, finds the strategy that runs on the least energy and rolls it out over the air from one place.
Put an energy expert in every HVAC system
Start a pilot on one building, measure the real numbers on your equipment and your tariff, and keep the team in control the whole way.
Sources and notes
- 1Energy: NREL modeling reported via 75F finds smart building automation can cut building energy by up to about 31% and HVAC energy by up to about 42%. Results depend on the building and system and get validated in a pilot, not promised.
- 2Peak load and plant efficiency are directional, not benchmarked. The real figures get measured in a pilot on your equipment and tariff, never guessed.