Noda provides an agentic AI platform that continuously monitors and optimizes building operations, automatically detecting and fixing issues across HVAC, lighting, and other systems. By processing over 100 million data points daily from BMS, IoT, weather, and utility feeds, the AI delivers 15–25% energy savings and 5–15% maintenance cost reductions, boosting net operating income for commercial real‑estate portfolios.
Funding
Funding not disclosed
Founders
Product
Problem
Building operators face rising energy costs, limited engineering resources, and fragmented data from disparate building management and IoT systems, making it difficult to detect inefficiencies and prevent equipment failures in real time.
Solution
Noda delivers an always‑on, agentic AI platform that continuously ingests and analyzes millions of data points from BMS, IoT sensors, weather feeds, and utility meters across all building assets. The AI autonomously identifies abnormal equipment behavior, suboptimal setpoints, and wasteful energy usage, then generates actionable recommendations or initiates corrective actions without human intervention. By operating 24/7, the system reduces annual energy consumption by 15–25% and cuts maintenance expenses by 5–15%, delivering a 1–2% lift in portfolio net operating income. Noda’s AI acts as an extension of the facilities team, providing real‑time alerts, diagnostic insights, and automated control adjustments to maintain comfort while eliminating waste.
Target Audience
Primary customers are commercial real‑estate owners, property managers, and building engineering teams responsible for multi‑asset portfolios seeking to improve operational efficiency and reduce costs.
Features
- Continuous processing of 100M+ daily signals from BMS, IoT devices, weather, and utility data
- Autonomous detection of equipment anomalies and energy inefficiencies with AI‑driven recommendations
- Automated control actions such as setpoint adjustments, PID retuning, and dispatch triggers
- Real‑time alert dashboard that mimics an experienced engineer’s decision logic
- Quantified impact reporting showing energy savings, maintenance cost reductions, and NOI uplift
- Scalable deployment across heterogeneous building portfolios without additional staffing