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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

DGLogik stands out as a premier IoT application platform, offering a comprehensive solution for connecting, creating, and deploying IoT applications while transforming the landscape of IoT development. It provides complete insight into building performance and operations, positioning itself as the go-to framework for building management. With a proven track record among large clients utilizing Niagara hardware, DGLogik’s enterprise solution is well-established in the marketplace. DGLux5 for Niagara is specifically designed to integrate seamlessly with a Jace or Supervisor by simply installing a single .dist file, which eliminates the need for additional server installations within existing Niagara systems. This solution caters to projects and enterprises seeking to unify building systems with multiple BMS providers or those without an existing BMS. By incorporating DSA with DGLux5, users are equipped for the future, enabling them to leverage upcoming DSLinks and DSA advancements, ensuring that their IoT applications remain relevant and effective. As a result, organizations can confidently advance their building management systems while embracing the latest technological innovations.

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

Facebook
MongoDB
MySQL
PostgreSQL
Salesforce
Slack
Twilio
X (Twitter)
YouTube

Integrations

Facebook
MongoDB
MySQL
PostgreSQL
Salesforce
Slack
Twilio
X (Twitter)
YouTube

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

DGLogik

Country

United States

Website

www.dglogik.com

Vendor Details

Company Name

Verdigris

Founded

2011

Country

United States

Website

verdigris.co

Product Features

App Makers

Collaboration Tools
Compatibility Testing
Deployment Management
Drag & Drop
For eCommerce
Forms Creation
Iteration Management
Mobile Apps
No-Code
Pre-Built Templates
Visual Modeling
Web Apps
Workflow Management

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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