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What is MODE?

Are you in charge of the operation or development of robotic fleets? Robot Cloud presents an exceptional platform to gain valuable insights into the conditions of devices while facilitating rapid resolutions to any issues that may arise. Whether you are performing field trials for autonomous vehicles or overseeing a fleet of commercial transport solutions, MODE empowers you to collect real-time sensor data from your vehicles and trips, enabling immediate application to boost operational efficiency. Utilizing cloud-based technology, MODE effortlessly integrates with any necessary sensors, which can range from Smart Home management to monitoring utility expenses in manufacturing environments. With its ability to analyze large-scale real-world data systems, it offers ongoing monitoring and firmware management for over 10,000 installations. Constructed to reliably transmit data even under challenging network conditions, our Gateway guarantees consistent data collection and analysis, available 24/7 over extended periods. Additionally, businesses can embark on their journey with just one unit for testing, presenting a faster and more economical alternative to traditional in-house solutions, allowing companies to innovate without incurring substantial upfront costs. This flexibility ultimately fosters a more adaptive approach to fleet management and operational improvements.

What is Infor IoT?

Infor's Internet of Things (IoT) platform enables secure and efficient collection of sensor data from various locations, effectively managing it at scale. By merging this sensor data with insights from Infor CloudSuite™ EAM, users can achieve improved asset health monitoring. This additional context greatly enhances the ability to identify anomalies, optimize workflows, improve reporting, and leverage data analytics in conjunction with machine learning methods. The sensor data gathered through Infor IoT is stored in the Infor Data Lake, which creates vast opportunities for a more thorough application of IoT data. Moreover, device data can be enriched with diverse attributes and metadata, leading to improved search functionality and enhanced device management capabilities. Users can observe telemetry in near real-time thanks to an advanced rule engine, while device templates facilitate a smoother setup and onboarding experience. The portal's architecture is crafted for scalability and includes a flexible rule editor that allows for specific conditions and actions, promoting customized automation and responsiveness. In summary, Infor IoT offers a comprehensive and powerful solution for the effective management and analysis of Internet of Things data. Furthermore, this platform empowers businesses to harness the full potential of their IoT initiatives, driving innovation and efficiency across various operations.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
BitcoinOS
DataHawk
HxGN EAM
Infor Data Lake
Infor OS
Kleene
Select Star

Integrations Supported

Amazon Web Services (AWS)
BitcoinOS
DataHawk
HxGN EAM
Infor Data Lake
Infor OS
Kleene
Select Star

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MODE

Date Founded

2014

Company Location

United States

Company Website

www.tinkermode.com

Company Facts

Organization Name

Infor

Date Founded

2002

Company Location

United States

Company Website

www.infor.com/products/infor-iot

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

Categories and Features

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

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