⚡

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 raised 🏢 Established

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 data DER systems Email notifications

Disciplines

Facility Management, Owner/Developer, MEP Engineering

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

Website →

📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (6)

✅

Verified Data (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

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.