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What is Coiote IoT Device Management?

Coiote IoT Device Management enables operational teams to quickly deploy new IoT solutions while efficiently troubleshooting any issues that arise. This platform is founded on open standards such as Lightweight M2M, providing impressive scalability that supports complete management of the device lifecycle. It streamlines the control of assets, facilitates the launch of new services, and aids in generating additional revenue. Users have the option to create bespoke application tests to verify their devices are performing correctly or to utilize existing test sets that the platform offers. The intuitive graphical interface simplifies the processes of device bootstrapping and configuration, making it accessible for various users. Coiote IoT DM incorporates auto-discovery features, which allow it to swiftly onboard devices by recognizing their capabilities and showcasing them within the GUI. This capability not only lowers operational costs but also significantly speeds up the time to market for new solutions. Furthermore, users can carry out FOTA and SOTA upgrades at optimal times without overburdening limited devices, as the scalable FOTA method allows for well-timed deployment planning, ensuring seamless operations. This thorough approach guarantees that IoT deployments remain effective and efficient throughout their entire lifecycle, ultimately enhancing overall productivity and performance in the field. By continuously optimizing device management processes, organizations can fully leverage the potential of their IoT investments.

What is AutoDiscovery?

AutoDiscovery is a sophisticated software solution crafted for automated exploratory data analysis, enabling biomedical researchers to uncover complex relationships hidden within their experimental and clinical trial data. This innovative tool autonomously identifies the appropriate statistical tests required to assess the connections between different variable combinations in each data subset. AutoDiscovery effectively tackles prevalent challenges in biomedical research, such as discerning cause-effect relationships, managing false discovery rates, addressing small sample sizes, organizing treatment groups, and ensuring result traceability. Specifically designed for Principal Investigators, who often face time constraints and may lack extensive statistical knowledge, it allows them to focus on conducting significant and productive research endeavors. Additionally, this software streamlines research workflows, promoting faster insights and breakthroughs in the biomedical domain while empowering researchers to make data-driven decisions with confidence. By leveraging AutoDiscovery, researchers can enhance the overall quality of their findings and contribute more effectively to advancements in health science.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€1.795 per year
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

AVSystems

Date Founded

2006

Company Location

Polonia

Company Website

www.avsystem.com/products/coiote-iot-device-management-platform/

Company Facts

Organization Name

Butler Scientifics

Date Founded

2014

Company Location

Spain

Company Website

www.butlerscientifics.com

Categories and Features

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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