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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Products must not only be functional but also economically viable. Reality AI combines machine learning with sophisticated signal processing mathematics, providing rapid and efficient machine learning inference that can operate on the tiniest microcontrollers, thus enabling advanced features in cost-effective hardware. Engineers are unlikely to implement a solution they do not fully comprehend. With Reality AI Tools®, users gain insights through visual representations of model behavior across both time and frequency domains, facilitating clear explanations to colleagues and stakeholders regarding model performance. A significant portion of the expenses associated with machine learning initiatives—up to 80%—is attributed to instrumentation and data collection. Reality AI Tools® excels at determining the most budget-friendly combinations of sensor channels, optimizing sensor placements, and establishing essential component specifications. Additionally, it assists in controlling data collection costs by identifying issues with instrumentation and data processing while data is being collected, ensuring a more streamlined process overall. This comprehensive approach not only enhances project efficiency but also empowers teams to make more informed decisions throughout the development phase.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Raspberry Pi OS
Slack
X (Twitter)

Integrations

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

Reality AI

Founded

2015

Country

United States

Website

reality.ai

Product Features

IoT

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

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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