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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Your energy efficiency initiatives have been performing quite effectively, achieving your savings targets and refining execution through a network of contractors. Despite navigating various complexities, technological advancements, and administrative challenges, you're managing adequately. However, imagine a scenario where you could enhance these efforts significantly. Envision transitioning your program entirely to a digital format, potentially doubling your energy savings without additional financial input. Picture being able to triple the participation in your initiatives without requiring more resources. Hancock's digital transformation solutions offer exactly this potential, allowing you to optimize your funding while maximizing energy conservation. Streamline processes by implementing digital requirements, such as uploads of electrical specifications, installation receipts, and photographic documentation. Leverage Hancock's mobile field applications to ensure all field staff have access to the precise information necessary for evaluating and reporting on installation success or pre-conditions. With these advancements, your efficiency programs could reach unprecedented levels of effectiveness.

Description

Verdigris is an AI-driven smart building management platform that optimizes energy consumption for organizations. Verdigris has designed a powerful yet simple IoT-enabled energy sensor that installs in minutes and instantly streams real-time energy data from an organization’s building and assets. This allows Verdigris to build powerful forecasts of energy usage for demand management and building optimization. Verdigris’ AI Innovation analyzes electricity consumption from end use categories down to individual devices, helping buildings stay on top of expensive inefficiencies and catch unseen errors before they become problems. Ultimately, Verdigris’ technology enables a set of highly scalable low-cost energy management capabilities not found in other energy meter solutions at scale. Verdigris also detects what most other systems miss by measuring each circuit at nearly 8,000 times per second. Some of the world’s most recognized companies including T-Mobile, Verizon, and Nvidia are using Verdigris to power their most critical facilities, combat wasteful energy usage and improve underlying building reliability.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Hancock Software

Website

www.hancocksoftware.com

Vendor Details

Company Name

Verdigris

Founded

2011

Country

United States

Website

verdigris.co

Product Features

Energy Management

Benchmarking
Bill Audit
Bill Database
Bill Importing
Budgeting & Forecasting
Compliance Management
Contract Management
Cost / Use Reporting
Emissions Monitoring
Energy Price Analysis
Facility Scheduling
Greenhouse Gas Tracking
Load Control
Load Forecasting
Meter Tracking
Risk Management
Weather Normalization

Product Features

Energy Management

Benchmarking
Bill Audit
Bill Database
Bill Importing
Budgeting & Forecasting
Compliance Management
Contract Management
Cost / Use Reporting
Emissions Monitoring
Energy Price Analysis
Facility Scheduling
Greenhouse Gas Tracking
Load Control
Load Forecasting
Meter Tracking
Risk Management
Weather Normalization

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