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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
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)