Noda AI Platform

Overview

Noda is an agentic AI platform designed for commercial building operations. It functions as an always-on virtual building engineer, continuously analyzing equipment and energy performance across real estate portfolios to reduce energy waste, lower operating costs, and cut carbon emissions. The platform processes over 100 million data points daily from BMS systems, IoT devices, weather data, and utility signals to identify and resolve operational issues automatically.

Key Features

Agentic AI Assistant

• Works continuously in the background without requiring user prompts
• Identifies root causes behind energy waste and equipment issues
• Generates prioritized, execution-ready work orders with quantified savings
• Reasons across building systems the way an expert engineer would

Fault Detection & Diagnostics

• Detects early failure signals 24/7 across equipment and systems
• Synthesizes multiple alarms to isolate true root causes rather than surface symptoms
• Provides full diagnostic reasoning and resolution steps for each issue

Autonomous Control Optimization

• Writes setpoints in real time to shift and shed loads ahead of peaks
• Sequences chiller plants for efficiency
• Optimizes demand response without requiring operator intervention

Independent Data Layer (IDL)

• Reconciles data from multiple BMS vendors and equipment types
• Normalizes all points, equipment, systems, and sites into unified schema
• Keeps intelligence and control layers cleanly separated for security

Measurement & Verification

• Tracks all actions through to completion
• Provides audit-ready savings reports with verified line items
• Measures results against pre-fix baselines without estimates or black-box calculations

Portfolio-Level Visibility

• Monitors all assets simultaneously across entire portfolios
• Provides C-suite dashboards showing realized savings, GHG reduction, and active projects
• Tracks cumulative impact across multiple properties

Use Cases

• Energy Optimization: Achieve 15–25% average annual energy reduction through continuous control tuning and waste elimination
• Maintenance Cost Reduction: Lower reactive repair and equipment replacement costs by 5–15% through predictive failure detection
• Operational Efficiency: Scale engineering capacity across portfolios without adding headcount; typical deployments save 1,200+ engineering hours annually
• Comfort & Compliance: Maintain or improve tenant comfort while reducing costs; typical deployments achieve 99.8% comfort SLA compliance
• Carbon Reduction: Support sustainability goals through verified emissions reductions tracked at portfolio level
• NOI Improvement: Drive 1–2% portfolio-level NOI lift through combined energy, maintenance, and labor savings

Pricing & Access

Pricing Model: Enterprise Quote (custom pricing based on portfolio size and scope)

Access: Platform requires demo and custom implementation. Login available at energy.noda.ai for existing customers.

Typical Year 1 Results (Office portfolios):

• Estimated annual savings: $2.7M for 5M sq ft portfolio at $2.40/sq ft annual energy spend
• Breakdown: ~$2.4M energy reduction, ~$250K avoided maintenance, ~$96K labor savings

Who Is It For?

Primary Users:

• Commercial real estate owners and operators managing multi-asset portfolios
• Asset management teams seeking to improve NOI and operational performance
• Engineering and operations teams managing building systems and maintenance
• Sustainability and CSR teams working toward carbon reduction goals
• C-suite executives focused on cost control and portfolio optimization

Best Suited For:

• Organizations with 5M+ square feet under management
• Portfolios with multiple building types (office, hospitality, healthcare, data centers, retail, mixed-use)
• Teams with limited engineering capacity relative to portfolio size
• Properties with existing BMS systems and data infrastructure
• Organizations with measurable energy spend and sustainability targets

The platform integrates with existing building management systems and requires no replacement of current infrastructure.