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What is mimik edgeEngine?

The hybrid edgeCloud platform enables a wide array of smart devices, including smartphones and IoT devices, to act as cloud servers whenever needed. The edgeEngine is a downloadable software that allows these devices to function as cloud servers in appropriate conditions. This adaptable engine can be used with any smart device, irrespective of its operating system or network, and integrates effortlessly with any cloud system. Unlike conventional backend development, which frequently requires extensive time and financial investment for server upkeep and scaling, mimik provides a serverless environment specifically designed for edge microservices, guaranteeing peak performance and efficiency. By leveraging the edgeEngine, users can transform any smart device with fundamental computing capabilities—such as smartphones, PCs, set-top boxes, IoT gateways, game consoles, smart TVs, drones, robots, and automotive infotainment systems—into functional servers. Moreover, developers can either craft and deploy custom edge microservices or utilize mimik’s ready-made, field-tested microservices to deliver innovative solutions or upgrade existing applications. This functionality not only simplifies the development workflow but also greatly diminishes the obstacles to adopting advanced technologies. As a result, organizations can swiftly adapt to evolving technological landscapes and enhance their operational agility.

What is TagoIO?

TagoIO serves as a versatile cloud software platform that equips users with the ability to transform IoT sensor data into smart solutions while circumventing the complexities associated with cloud management. It supports the connection and management of devices across a vast array of more than 500 communication protocols, including LoRaWAN, NB-IoT, Wi-Fi, satellite, BLE, MQTT, and HTTP, by leveraging pre-configured connectors that standardize incoming device data. The platform offers scalable device management, secure data storage, real-time visualization, personalized analytics, automation capabilities, alerts, and multi-tenant access control, enabling users to develop dashboards, workflows, and logic seamlessly within one cohesive environment. TagoIO simplifies the creation and rollout of IoT applications with its user-friendly templates, intuitive drag-and-drop interfaces, and robust APIs, all while effectively handling backend infrastructure to ensure rapid development and implementation. Furthermore, it offers advanced analytics that transform raw data into actionable insights and supports edge computing, mobile accessibility, white-labeling options, as well as integration with external systems, thus amplifying its adaptability. In addition to these features, TagoIO is designed to facilitate collaboration among teams, making it an even more attractive option for businesses aiming to leverage IoT technology efficiently and effectively. Overall, TagoIO emerges as a formidable asset for organizations looking to tap into the vast opportunities presented by IoT advancements.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Docker
Flybits

Integrations Supported

Amazon Web Services (AWS)
AWS IoT
Helium Blockchain
Sigfox
Swisscom Blockchain

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

mimik

Company Location

United States

Company Website

mimik.com

Company Facts

Organization Name

TagoIO

Date Founded

2014

Company Location

United States

Company Website

tago.io

Categories and Features

IoT

Not specified

Categories and Features

Industrial IoT

Not specified

IoT

Not specified

IoT Analytics

Not specified

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