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Actcast

IoT platform for edge AI deep learning inference on physical devices.

Last updated: Jun 24, 2026

Pricing

Updated: Jul 4, 2025
Starting Price
Free
Pricing Model
subscription
Free Plan
Yes
Free Trial
No

About Actcast

Actcast is an IoT platform service that enables users to perform deep learning inference directly on edge devices like Raspberry Pi, connecting physical world data and events to web services. By processing data at the edge rather than in centralized servers, the platform significantly reduces data transfer costs, server expenses, and privacy risks associated with sending sensitive information to the cloud. The platform is designed for developers and businesses building advanced IoT solutions that require real-time sensing and pattern recognition capabilities such as image detection and object classification.

At a glance

Company
Idein Inc. (est. 2018)
Platforms
Web
API
Available
Integrations
Webhook
Last verified
June 2026
Last updated: June 24, 2026

Who It's For

  • IoT developers and engineers
  • Businesses building IoT solutions
  • Organizations requiring edge AI capabilities
  • Companies prioritizing privacy and cost efficiency
  • Makers and hobbyists working with Raspberry Pi

How It Works

  1. 1Deep learning models run inference directly on edge devices (e.g., Raspberry Pi) rather than in the cloud
  2. 2Detects and processes physical world events and data using computer vision and pattern recognition
  3. 3Sends processed results and events to web services via webhooks and integrations
  4. 4Reduces data transfer requirements by filtering and processing at the edge before transmission

How to Use Actcast

  1. 1Sign up for an Actcast account via email
  2. 2Deploy deep learning models to supported edge devices
  3. 3Configure webhook endpoints to receive events and notifications
  4. 4Build advanced IoT solutions that link physical world insights to web services

Key Features

  • Edge computing inference reduces data transfer and server costs
  • Support for Raspberry Pi and other edge devices
  • Deep learning model deployment to edge devices
  • Webhook integration for web service notifications
  • Developer SDKs for building custom solutions
  • Privacy-preserving on-device processing

Use Cases

  • Real-time object detection and classification on edge devices
  • IoT monitoring systems with on-device AI inference
  • Privacy-preserving surveillance and sensing applications
  • Cost-effective large-scale IoT deployments with reduced cloud dependency
  • Computer vision applications running locally on resource-constrained hardware

Pros & Cons

Advantages

  • Edge computing significantly reduces data transfer costs and cloud server expenses compared to cloud-based AI solutions
  • Processes sensitive data locally on devices, substantially reducing privacy and confidential information leakage risks
  • Works with affordable hardware like Raspberry Pi, making edge AI accessible to diverse developers and organizations
  • Enables real-time inference without latency from cloud communication

Disadvantages

  • Limited to supported edge devices (Raspberry Pi highlighted as primary device), reducing hardware flexibility
  • Requires users to manage model deployment and device management themselves, adding operational complexity
  • May face limitations in model complexity and performance compared to cloud-based deep learning infrastructure

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Frequently Asked Questions

What is Actcast?

Actcast is an IoT platform service that enables users to perform deep learning inference directly on edge devices like Raspberry Pi, connecting physical world data and events to web services. By processing data at the edge rather than in centralized servers, the platform significantly reduces data transfer costs, server expenses, and privacy risks associated with sending sensitive information to the cloud.

How much does Actcast cost?

Actcast is free to use.

Is Actcast free?

Yes, Actcast offers a free plan you can start with.

What are the best Actcast alternatives?

Popular Actcast alternatives include Datature, Beam Cloud, Cerebrium.

What is Actcast used for?

Actcast is commonly used for Real-time object detection and classification on edge devices, IoT monitoring systems with on-device AI inference, Privacy-preserving surveillance and sensing applications.

Does Actcast have an API?

Yes, Actcast offers an API for developers.

What platforms does Actcast support?

Actcast is available on Web.

Information Accuracy

Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.