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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
NEPI, or Numurus Edge Platform Interface, is an open-source software platform designed for edge AI applications. It provides approximately 90% of the essential features needed by smart systems right from the start, including hardware drivers, sensor integration, AI model management, event-driven automation, data collection, and a user-friendly browser-based interface. The remaining 10% of functionalities can be developed by your team using low-code scripting, allowing for further customization.
NEPI is built upon the foundations of ROS and ROS 2, functioning entirely at the edge without reliance on cloud services. Its hardware-agnostic nature enables quick installations on any Linux-based machine, such as Raspberry Pi or Ubuntu systems, meaning you can utilize existing hardware without the need for specialized edge devices.
Traditionally, teams invest significant time reconstructing the same infrastructure for each new project, but NEPI eliminates this redundancy by simplifying the process to connecting sensors, executing AI on the resulting data, and triggering appropriate actions. Its deployment spans various sectors, including defense, research, industrial automation, and education, with operational systems already in place at companies like OceanAero, WESMAR, and VideoRay. This versatility and efficiency make NEPI an invaluable tool for teams looking to accelerate their edge AI development.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
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
Numurus
Founded
2017
Country
United States
Website
www.nepi.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
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)