For Office
Noda's AI agents give every building a senior engineer's attention around the clock. They trace faults to their root causes, hold down peak demand, and rank each fix by what it saves.

Noda lowers energy spend, demand charges, and reactive repair costs across portfolios, regardless of a building's age, systems, or BMS. Its AI agents catch equipment problems early, before they turn into comfort issues.
Engineering teams start each day from a short list of fixes worth making, with the triage and root cause analysis already done by Noda's AI agents.
Explore the Intelligence LayerCut peak demand charges with no one on call during the event. Automated Demand Management raises zone cooling setpoints a little at a time as power nears the limit, never past each zone's maximum.
Explore Automated Demand ManagementAny engineer at any building can diagnose a unit by asking. The Noda Assistant answers from trend data, such as why a chiller draws more power than its load predicts.
Explore the Noda AssistantCH-1 is drawing more power than predicted at its current load, and the gap has widened over six weeks.
Condenser approach temperature has risen alongside it, which points to fouled condenser tubes.
Site and portfolio teams work the highest-value fixes first. Command Center gathers Projects from every building into one worklist, ranked by priority and then by estimated savings.
Explore Command CenterNoda's AI agents find, validate, and scope operational changes that reduce energy costs and require no capital to implement.
Noda flags degradation on chillers, boilers, pumps, and air handlers early, while a repair still costs less than a replacement.
Noda's Independent Data Layer normalizes each building's points, whatever the BMS vendor, so buildings of different vintages compare on one model.








Noda connects to leading building management systems and to anything supporting BACnet/IP, Modbus, or MQTT, through the Noda LaunchPad, a secure on‑premises gateway.
The combination of analytics and detailed recommendations from Noda have been invaluable in our efforts to ensure our buildings operate at optimal efficiency, without sacrificing on building standards.

A landmark DC office tower ran two chillers 24/7 to serve tenant supplemental loads, even though overnight activity was minimal. Migrating those tenant systems to the retail condenser loop let the main chiller shut down 9 PM–6 AM, cutting ~20,000 kWh weekly year-round.
Each Project names the change to make and the equipment it affects, and an engineer reviews it before accepting. Noda's fault detection keeps running on the same equipment and zones after the work is done, so a zone that drifts from setpoint appears as a new Insight. During a demand event, ADM raises cooling setpoints only on enrolled zones, never past the maximum set for each zone, and returns each setpoint to BMS control when the event ends.
Each building's schedule in Noda carries working hours, holidays, startup and shutdown times, and tenant requests. Charts shade those schedule events behind the trends, so an engineer can tell an approved after-hours request from equipment left running by mistake.
No. Noda connects to leading BMS vendors and to open protocols through the Noda LaunchPad, and the Independent Data Layer maps every building's points onto one normalized model of its equipment and the zones each unit serves.
Noda reads the data each BMS already trends through the Noda LaunchPad, a secure gateway installed on site. Deployment adds no new controls hardware and requires no BMS reprogramming.
Noda measures each completed Project against a counterfactual baseline normalized for weather and occupancy, and reports the measured result as the Project's savings.