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Gridium

AI-powered building energy management platform

Energy-management-as-a-service platform that reduces building energy costs and streamlines operations through automated data collection and AI-driven insights.

$18-28M raisedEstablished
Founded 2011 · 300+ million square feet of buildings served, including office buildings, corporate headquarters, and medical facilities
Website →← All Tools

Why This Tool Exists

The Problem

Building owners and operators struggle to identify energy waste across portfolios, often missing 5-7% potential savings annually due to manual monitoring and lack of actionable insights. Energy bills are analyzed reactively, delaying cost-saving opportunities.

The Solution

AI platform automatically collects energy data from utilities and analyzes building performance patterns using machine learning validated by Lawrence Berkeley National Labs. Provides proactive alerts, identifies inefficiencies, and recommends specific actions like HVAC adjustments with 2-3 month payback.

How You Use It

Delivery Method
SaaS
Integrations
Utility companies (71 data integrations)Weather dataDER systemsEmail notifications
Project Phases
Operations/FM
Project Types
Commercial, Healthcare, Education, Industrial, Institutional

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Utility bills, 15-minute interval data, Building size
Optional:Weather data, DER systems (solar, batteries, EVs), Historical energy data
Formats:Utility bill data, Interval meter data, Weather API, DER feeds
Output
What you get
Format:Dashboard reports with email alerts and online portal
Fields:Energy cost analysis, Usage patterns, Efficiency recommendations, Savings opportunities, Performance benchmarking, Carbon footprint tracking
Algorithm
How it works
Model:Machine learning algorithms validated by Lawrence Berkeley National Labs
Accuracy:Typically achieves 5-7% energy cost savings with 2-3 month payback
Privacy
How your data is protected
Retention:Project-based retention (specific duration not publicly specified)
Training:Not publicly specified
Compliance:Standard data security measures (specific certifications not publicly disclosed)
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented

Use Cases

  • ·Daily energy cost monitoring and variance correction
  • ·Automated detection of HVAC inefficiencies and equipment malfunctions
  • ·Portfolio-wide energy benchmarking and performance tracking
  • ·Proactive alerts for unusual energy consumption patterns
  • ·Carbon footprint tracking and sustainability reporting

Pricing

Free
Free trial available
Pro
Starting at $470/month (small buildings up to 75,000 sq ft)
Enterprise
$760-833/month for medium to large buildings, portfolio discounts available
Sources & Research NotesResearch date: 2026-02-01
Fields Checked (9)
problem, solution, deliveryMethod, yearFounded, customerBase, fundingTotal, pricing, algorithm-approach, maturityStage
Not Found (5)
api-documentation, detailed-privacy-policy, specific-compliance-certifications, data-retention-periods, detailed-integrations-list
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.