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What is MDEX?

MDEX (Machine Data Exchange) is an all-encompassing platform for machine data, specifically designed for the manufacturing industry, which enables real-time connectivity between CNC machines, robots, and sensors from multiple manufacturers through an event-driven data layer. By harnessing machine signals and order statuses, it empowers metal-parts manufacturers and CNC machine shops to efficiently manage their production workflows. The platform features a variety of tools, such as interactive real-time dashboards, alerts for CNC errors, customizable triggers, and an Andon board for effective visual management, while also ensuring smooth integration of production management that harmonizes ERP-planned orders with actual production activities. Furthermore, it utilizes Bluetooth Low Energy (BLE) technology for detecting operator presence and includes functionalities for tool data management, traceability, and the generation of PDF and Excel reports, complete with automated email scheduling. Advanced analytics capabilities within MDEX facilitate sophisticated trend analysis and anomaly detection, supported by an AI assistant that enables users to ask questions about production data in a conversational manner. With support for integrations via a standard API and webhooks, MDEX can easily connect with various platforms such as Epicor, MKG, and Imnoo, even while retaining functionality independent of any ERP system. This comprehensive approach ensures that MDEX is exceptionally well-suited for manufacturers who operate CNC equipment from a wide array of suppliers, leading to more efficient operations and improved productivity across their processes. The adaptability of MDEX allows manufacturers to remain competitive in a rapidly evolving industry landscape.

What is DeepEyes?

Successfully overseeing areas governed by Good Manufacturing Practices (GMP) requires a well-rounded approach that emphasizes critical aspects such as facility management, staff supervision, and microbial control. DeepEyes’ innovative video-based AI solutions stand out in detecting compliance issues and potential contamination threats, effectively filling in the gaps that might remain despite thorough training and careful oversight. These smart systems streamline the monitoring process by delivering real-time notifications for any deviations from established GMP standards, thus ensuring a continuous quality assurance process that fits seamlessly within the manufacturing workflow. Although training for operators is crucial, it cannot entirely eliminate the risk of errors or lapses, which makes ongoing surveillance vital to protect against product loss, waste management issues, operational interruptions, and safety risks. Furthermore, the application of cutting-edge AI technology within GMP-regulated settings not only bolsters operational security but also significantly enhances efficiency and productivity. This integration encourages a proactive culture of compliance that can ultimately lead to better overall outcomes in manufacturing practices.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

MDEX Solutions

Date Founded

2025

Company Location

Belgium

Company Website

mdex-solutions.com

Company Facts

Organization Name

DeepEyes

Date Founded

2018

Company Location

Germany

Company Website

www.deepeyes.co

Categories and Features

AI Manufacturing

Not specified

Categories and Features

AI Manufacturing

Not specified

AI Workplace Safety

Not specified

Computer Vision

Not specified

Quality Management

Not specified

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