Audience

Enterprises and anyone seeking a solution to enable smart devices to act as cloud servers

About mimik edgeEngine

The hybrid edgeCloud platform enables all smart devices from smartphones to IoT devices to act as a cloud server when plausible. The edgeEngine is a downloadable runtime software that enables smart devices to act as a cloud server when plausible. The engine works on any smart device with any OS across any network and is connected to any cloud. Traditional backend development requires considerable effort and cost to maintain and scale servers. mimik provides a serverless environment for edge microservices for optimal speed and efficiency. Using the edgeEngine, you can add server capability to any smart device with basic computing such as smartphones, PCs, set-top-boxes, residential and loT gateways, game consoles, smart TVs, drones, robots, and cars infotainment systems, industrial sensors, and others. You can build and deploy your own edge microservices or use mimik’s ready and field-tested microservices to implement new solutions or upgrade your legacy applications.

Integrations

API:
Yes, mimik edgeEngine offers API access

Ratings/Reviews

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Company Information

mimik
United States
mimik.com

Videos and Screen Captures

mimik edgeEngine Screenshot 1
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Product Details

Platforms Supported
Cloud
iPhone
iPad
Android
Training
Documentation
Webinars
In Person
Videos
Support
Phone Support
Online

mimik edgeEngine Frequently Asked Questions

Q: What kinds of users and organization types does mimik edgeEngine work with?
Q: What languages does mimik edgeEngine support in their product?
Q: What kind of support options does mimik edgeEngine offer?
Q: What other applications or services does mimik edgeEngine integrate with?
Q: Does mimik edgeEngine have an API?
Q: Does mimik edgeEngine have a mobile app?
Q: What type of training does mimik edgeEngine provide?

mimik edgeEngine Product Features

IoT

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