Audience

Developers, engineers, and businesses building AI-powered IoT solutions that connect real-world physical data to web services using edge computing and deep learning

About Actcast

Actcast is an edge-AI IoT platform service that links events and data from the physical world to the Web by performing deep learning inference on edge devices, enabling real-time sensing, analysis, and integration of physical data with online systems while reducing data transfer costs and privacy risks. It uses edge computing to run deep learning models locally on low-cost hardware such as Raspberry Pi, converting raw sensor and camera input into actionable, semantic data that can be sent to web services or applications. It supports deployment, remote management, and monitoring of IoT applications (“Acts”) across many devices, and provides tools such as an SDK and command-line interface to develop, package, and deploy applications in Docker containers that process input and send summarized results. Actcast also includes features for managing device groups, configuring triggers and webhooks to notify events, and handling updates and device status from a centralized dashboard.

Integrations

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Company Information

Actcast
Founded: 2018
United States
actcast.io

Videos and Screen Captures

Actcast Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Videos
Support
Online

Actcast Frequently Asked Questions

Q: What kinds of users and organization types does Actcast work with?
Q: What languages does Actcast support in their product?
Q: What other applications or services does Actcast integrate with?
Q: What type of training does Actcast provide?

Actcast Product Features

IoT

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