Always-on AI finds faults, energy waste and operational risk across a portfolio, and measures the return on each fix.
Trusted by global owners and operators across 300M sq ft:
Noda's Independent Data Layer reconciles every BMS, point, and asset into one normalized schema, creating the foundation for AI to work.
Learn about the Independent Data LayerNoda runs full fault detection across your portfolio, then keeps going: reasoning across every alarm and fault, isolating the root cause, and routing scoped, ready-to-execute work to your team.
Learn about the AI Project GeneratorEvery Project arrives in Noda with full reasoning, resolution steps, and a target outcome. Noda's AI tracks each one through to completion, leaving no loose ends in your team's queue.
Learn about Command CenterNoda cuts peak demand charges autonomously: it forecasts each building's demand peaks, pre-cools zones ahead of peak hours, and raises occupied cooling setpoints within each zone's limits to shed load, with no operator needed during an event.
Learn about Automated Demand ManagementEvery action Noda takes is measured against a pre-fix baseline, with M&V that gives finance and asset management an audit-ready ledger, free of estimates and black-box math.
A bad day in a commercial building can produce a flood of alarms and faults. Noda gets to the true root cause and synthesizes the stream into scoped, actionable Projects.
CH-2's Delta T collapses, AHU-2 can't hold its discharge air setpoint, and the zones it serves run warm. 20 Insights fire, and none of them points to the cause.
The Noda Assistant reasons across your live data and operating context, and answers in seconds.
Explore the Noda AssistantYes. Noda works with building management systems including Tridium Niagara, Johnson Controls Metasys, Siemens Desigo and Honeywell EBI. Each site gets a Noda LaunchPad, a secure on-premises gateway that connects to the BMS and to equipment controllers and IoT sensors running BACnet/IP, Modbus or MQTT. Meters connect through a separate Noda gateway. Deployment does not require replacing or reprogramming a BMS. Noda can therefore start finding savings in buildings as they run today, with the control systems and operating teams already in place.
Yes. Noda's GraphQL API makes equipment, points, trend history, Insights and Projects available to analytics and reporting software. Noda's MCP server connects AI assistants and agents that support the Model Context Protocol, giving each one scoped access to the same standardized building data that Noda's own AI agents use.
Noda's AI Project Generator reviews each building's recent Insights on a regular schedule and passes every candidate through a sequence of AI agents. The Root Cause Analyzer treats each Insight as evidence to investigate: it confirms the behavior against historical data from several points, checks that the equipment was actually running, reads weather and operating conditions as context, and rejects candidates the evidence does not support. The root cause it identifies frequently sits on equipment other than the one presenting symptoms, such as an air handler upstream of several faulting VAVs.
The Cost Savings Estimator then calculates what fixing that cause would save, starting from measured data on the affected equipment and adjusting for schedule, load and weather across the year, with the calculations run as code. The assumptions behind each estimate are recorded on the Project alongside the Insights it links as evidence, so an engineer can check the reasoning before accepting it.
In Command Center, Projects reach the team in priority order: ranked first by urgency, which weighs the impact on equipment health together with the size of the opportunity, and then by estimated annual savings.
Noda's AI surfaces quantified Projects within 30 days of live data being available in the platform.
Noda acts on equipment automatically in one case: Automated Demand Management (ADM), which sheds or shifts site demand in response to a utility signal or an operational condition, on equipment configured and functionally tested for that purpose. Every other Project goes to a person to accept before anything changes in a building. Engineers stay in charge of how their buildings run, and ADM still captures demand savings during events that move faster than a person can respond.
The Noda Assistant gives building teams answers about their buildings in plain language. Facilities managers, energy managers and building operators ask about equipment, points, Insights and Projects, and the Noda Assistant answers from live and historical building data: current point values, trend history, schedules, weather and utility rates. Each answer links to the evidence in Noda, such as a trend chart, the Insights behind a fault or the Project that addresses it, so an engineer can check the reasoning before acting on the finding.
The Noda Assistant is read-only and works within each user's existing permissions. A person still closes Projects, reassigns Tasks and adjusts setpoints.
Yes. Noda is ISO 27001 certified and built on AWS infrastructure hosted in the United States. The platform uses end-to-end encryption (TLS 1.3 in transit, AWS KMS at rest), zero-trust access controls, SSO and MFA, mutual TLS for edge-to-cloud communication, and the LaunchPad device operates on outbound-only connections, eliminating the need to open incoming network ports. No personally identifiable information is collected.
Pricing varies based on portfolio size, building types, and the capabilities deployed. Contact our team for a tailored quote.
