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Description
EcoStruxure Building Operation provides essential insights that enhance building management and optimization, boost engineering productivity, and address heightened cybersecurity and compliance requirements. As part of EcoStruxure, smart buildings require seamless integration among various systems and straightforward access to IoT devices. The platform’s open and secure integration framework fosters collaboration with third-party systems, enabling the development of innovative custom solutions. It is designed to natively support widely-used open protocols right from the start. In this way, future-ready buildings can easily accommodate new technological advancements while maximizing operational efficiency, enhancing comfort and productivity, and increasing overall property value. EcoStruxure Building serves as an open innovation platform for smart buildings—offering a collaborative IoT solution that is not only scalable and secure but also has a global reach, ensuring that buildings of the future are interconnected, exceptionally efficient, and genuinely sustainable. With its comprehensive approach, EcoStruxure Building Operation empowers customers to transform their buildings into intelligent environments that thrive on connectivity and innovation.
Description
KODE features a scalable architecture that consolidates all systems and sensors into an intuitive interface, enhancing energy efficiency and equipment performance across your entire portfolio. By equipping your team with straightforward and user-friendly technology, KODE drives operational excellence effectively. The platform is designed for System Integrators and Building Operators, offering the quickest, simplest, and most cost-effective integration experience available. With its vendor-agnostic approach, engineering firms can select the most suitable equipment for their projects, avoiding the hefty fees and complications that come from being tied to a single manufacturer's ecosystem. KODE’s data-driven strategy also focuses on continuous validation of device operations through data collected at both the device and point levels. Furthermore, KODE’s comprehensive suite of energy management tools and advanced machine learning analytics enhances building energy efficiency, minimizes equipment runtime, and significantly prolongs equipment lifespan, ultimately promoting sustainability in building management. This holistic approach not only optimizes current operations but also paves the way for future advancements in energy management.
API Access
Has API
API Access
Has API
Integrations
Braincube
Cisco Kinetic
Cisco Prime Network
CopperTree Analytics Kaizen
ETAP ADMS
Earth Networks
EcoStruxure Power Build – Rapsody
HPE Consumption Analytics
Mongoose
Nozomi Networks
Integrations
Braincube
Cisco Kinetic
Cisco Prime Network
CopperTree Analytics Kaizen
ETAP ADMS
Earth Networks
EcoStruxure Power Build – Rapsody
HPE Consumption Analytics
Mongoose
Nozomi Networks
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
Schneider Electric
Website
software.schneider-electric.com
Vendor Details
Company Name
KODE
Founded
2017
Country
United States
Website
kodelabs.com
Product Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization