Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Actcast is a cutting-edge edge-AI IoT platform service that seamlessly connects real-world events and data to the Internet by executing deep learning inference on edge devices, which facilitates immediate sensing, analysis, and assimilation of physical data with online systems while minimizing both data transfer expenses and privacy concerns. By leveraging edge computing, it allows for the execution of deep learning models directly on affordable hardware like Raspberry Pi, transforming raw inputs from sensors and cameras into meaningful, semantic information that can be relayed to web services or applications. The platform is designed to support the deployment, remote management, and monitoring of IoT applications, referred to as "Acts," across a variety of devices, offering developers essential tools such as an SDK and command-line interface for creating, packaging, and deploying applications within Docker containers that analyze input and deliver condensed outputs. Furthermore, Actcast features capabilities for organizing device groups, setting up triggers and webhooks for event notifications, and managing updates and device statuses through a unified dashboard, ensuring a more streamlined and efficient IoT experience. This comprehensive approach not only enhances operational efficiency but also improves the scalability of IoT solutions.
Description
The hybrid edgeCloud platform allows various smart devices, ranging from smartphones to IoT gadgets, to function as cloud servers when necessary. The edgeEngine serves as a downloadable software that empowers these devices to operate as cloud servers under suitable conditions. This versatile engine is compatible with any smart device, regardless of its operating system or network, and integrates seamlessly with any cloud infrastructure. In contrast to traditional backend development, which often demands significant time and financial resources for server maintenance and scaling, mimik offers a serverless environment tailored for edge microservices, ensuring optimal performance and efficiency. By utilizing the edgeEngine, users can enhance any smart device with basic computing capabilities—such as smartphones, PCs, set-top boxes, residential and IoT gateways, game consoles, smart TVs, drones, robots, infotainment systems in cars, and industrial sensors—with server functionality. Furthermore, developers have the flexibility to either create and deploy custom edge microservices or take advantage of mimik’s pre-built, field-proven microservices to introduce innovative solutions or modernize existing applications. This capability not only streamlines the development process but also significantly reduces the barriers to implementing cutting-edge technology.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Docker
Flybits
Raspberry Pi OS
Slack
X (Twitter)
Integrations
Amazon Web Services (AWS)
Docker
Flybits
Raspberry Pi OS
Slack
X (Twitter)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Actcast
Founded
2018
Country
United States
Website
actcast.io
Vendor Details
Company Name
mimik
Country
United States
Website
mimik.com
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization