Works with the systems you already use
Always-on AI that finds and fixes the faults, energy waste, and operational risk hiding across your portfolio, and ties every action to a measured return.
Works with the systems you already use
How Noda works
Noda's Independent Data Layer reconciles every BMS, point, and asset into one normalized schema, creating the foundation for AI to work.
Noda 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.
Every 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.
Noda autonomously writes setpoints in real time, shifting and shedding loads ahead of peaks, sequencing chiller plants for efficiency, and optimizing demand without an operator in the chair.
Every 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.
Trained on your live data and operating context, our AI reasons and answers in seconds.
Noda is an agentic AI platform for commercial building operations. It connects to your buildings' data systems, continuously analyzes equipment and energy performance, and takes action to reduce energy waste, lower operating costs, and cut carbon emissions, functioning as an always-on AI virtual building engineer that scales your team's capacity across every building in your portfolio.
Noda's AI agent reads live and historical data from across your buildings, including BMS, meters, utilities, and equipment controllers, and reasons across systems the way an expert engineer would. Unlike chatbots and query interfaces that only respond when a user asks a question, Noda's agent is genuinely always-on, working continuously in the background to identify root causes behind energy waste and equipment issues, recommend specific projects with quantified savings, execute setpoint and load adjustments where authorized, and verify results. It does the continuous analytical work that would take a human team thousands of hours, across every building in your portfolio, without adding headcount.
Noda combines deterministic and generative AI rather than relying on either alone. Rule-based and machine learning algorithms handle continuous fault detection and pattern recognition with the speed, precision, and consistency that physical infrastructure demands. Generative AI and large language models layer on top, synthesizing diagnostic outputs with equipment context, historical trends, and operational data to identify root causes and generate prioritized recommendations. Noda is also vendor-agnostic at the model level, meaning we deploy whichever frontier model is best suited for a given task, rather than locking customers into a single AI provider whose capabilities may lag the frontier over time. All equipment data flows through an independent data layer, keeping the intelligence layer and the control layer cleanly separated for security.
Fault detection and diagnostics (FDD) platforms output alarms that site teams have to triage manually, and energy management and analytics platforms stop at dashboards and reports — both leave the work of interpretation, prioritization, and execution on your team. Noda treats faults and data as inputs, not outputs. The AI synthesizes signals across systems, identifies true root causes, validates whether a fix is economically worthwhile, executes optimizations through two-way controls, and measures the outcome. Your team gets a short list of execution-ready projects and verified results, not alert fatigue and homework.
A BMS is built to run your building; Noda is built to optimize it. Your BMS controls equipment based on programmed sequences and setpoints, but operational performance drifts over time as occupancy patterns shift, sensors fall out of calibration, equipment wears, and overrides get left in place. Your BMS isn't designed to catch any of this. The result is hidden energy waste, rising operating costs, and equipment that fails sooner than it should. Catching and correcting these issues traditionally means calling in your controls vendor, an expensive and time-consuming process that pulls focus from your team and your tenants.
Noda layers on top of your BMS, ingesting its data and applying AI analysis across every building in your portfolio to surface the operational drift, root causes, and inefficiencies that would otherwise stay hidden. The result is a BMS that gets smarter over time, without reprogramming, replacement, or repeated controls vendor engagements, and an engineering team that spends less time hunting for problems and more time solving them.
Yes. Noda is BMS-agnostic and integrates with leading providers including Schneider Electric, Johnson Controls, Siemens, Honeywell, Trane, Automated Logic, Distech, Delta, Alerton, Reliable Controls, KMC, Lynxspring, DEOS, EasyIO, American Auto-Matrix, and Functional Devices. Noda also supports systems built on the Tridium Niagara Framework, the underlying platform behind many leading BMS products, and connects to any system that supports standard building protocols including BACnet/IP, Modbus, and MQTT. Connection is established via the Noda LaunchPad, a secure edge device that enables read and write access without requiring BMS reprogramming or burdening your engineering team with custom integration work.
No. Noda handles the continuous analytical and optimization work that human teams can't do at scale, monitoring every data point across every building, every minute. This scales the capacity of your existing team, freeing engineers to focus on higher-value work like capital planning, tenant experience, and execution of projects Noda has already validated as worth doing.
Noda delivers savings projects faster than traditional optimization platforms. By analyzing BMS snapshots, our AI surfaces actionable, quantified projects within 30 days of connection, meaning customers can begin capturing savings almost immediately rather than waiting months for a baseline period to establish. Every recommendation is validated against cost, savings, and impact thresholds before reaching your team, and actual outcomes are tracked against projected savings so you can report verified results to leadership, investors, and sustainability stakeholders.
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.
