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What is IoT-Ignite?

A sophisticated IoT platform aimed at promoting smart and effective service delivery is now on the market. This platform equips users with the tools to swiftly make business choices and react promptly within their operational settings through cutting-edge edge gateways. It allows multiple services to run concurrently on a single gateway, permitting data from one service to influence the decisions made by another service. The advantages of smart edge processing include minimized bandwidth demands, faster data retrieval, and more efficient data management workflows. With the ability to implement predefined rules, these smart edge gateways ensure robust decision-making capabilities and can function independently of cloud connectivity. Furthermore, a range of pre-built add-ons is available to accelerate the development of any IoT service, featuring integrated sensor modules from selected partners, third-party integrations, and example codes from the IoT-Ignite team, which provide increased adaptability. Importantly, well-structured sensor modules, including RFID and smart scale sensors, can be seamlessly integrated into customized solutions or utilized within the IoT-Ignite solution packages, expanding the avenues for creative applications. Consequently, this platform not only boosts operational effectiveness but also nurtures a collaborative environment for crafting innovative IoT solutions, ultimately paving the way for smarter business ecosystems. The potential for growth within this collaborative framework is significant, encouraging ongoing advancements in technology and service delivery.

What is Crosser?

Harness the power of Edge computing to transform large datasets into actionable insights that are easy to manage. Collect sensor data from all your machinery and create connections to various devices such as sensors, PLCs, DCS, MES, or historians. Adopt condition monitoring for assets situated in remote locations, effectively adhering to Industry 4.0 standards to ensure optimal data collection and integration. Combine real-time streaming data with enterprise-level information for smooth data transitions, utilizing either your preferred Cloud Provider or an in-house data center for storage needs. Take advantage of Crosser Edge's MLOps features to implement, manage, and deploy your tailored machine learning models, while the Crosser Edge Node accommodates any machine learning framework. You can access a centralized repository for your trained models hosted in Crosser Cloud, and simplify your data pipeline with an intuitive drag-and-drop interface. Easily deploy your machine learning models across multiple Edge Nodes in a single action, enabling self-service innovation through Crosser Flow Studio. Benefit from an extensive collection of pre-existing modules that enhance collaboration among teams in different locations, significantly decreasing dependency on specific team members and boosting overall organizational productivity. By leveraging these advanced capabilities, your operational workflow will not only enhance collaboration but also drive innovation to unprecedented levels, paving the way for future advancements.

Media

Media

Integrations Supported

Integrations Supported

Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
Microsoft Azure
SIGNL4

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Online Training

Company Facts

Organization Name

ARDIC

Date Founded

2008

Company Location

Turkey

Company Website

www.iot-ignite.com

Company Facts

Organization Name

Crosser Technologies

Date Founded

2016

Company Location

Sweden

Company Website

www.crosser.io

Categories and Features

IoT Development

Not specified

RFID

Not specified

Categories and Features

Condition Monitoring

Not specified

IoT

Not specified

IoT Analytics

Not specified

IoT Development

Not specified

Machine Monitoring

Not specified

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