InstruNEXT Platform logo

InstruNEXT Platform

by InstruNEXT GmbH
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ActiveCloud
Quick facts
VendorInstruNEXT GmbH
Year launchedN/A
StatusActive
LocationMagdalene-Schoch-Str. 5, 97074 Würzburg, Germany
Countries servedN/A
Languages2
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesYES

About InstruNEXT Platform

A software platform for data-driven industrial automation. It provides tools for machine monitoring, quality control, and process optimization using real-time data analytics and Edge-AI.

InstruNEXT provides a software platform for data-driven industrial automation, targeting smart manufacturing solutions. The platform is composed of three main parts: Industrial Intelligence Edge, Industrial Intelligence Cloud, and the Automation Center. It focuses on machine monitoring, quality control, and closed-loop process optimization through real-time data analytics and Edge-AI. Key capabilities include predictive maintenance, AI-based image processing for quality control, and automated test stand operation. The system is designed for easy integration with existing hardware and software, supporting edge, cloud, or hybrid architectures. It allows for the creation of custom dashboards and uses a low-code scripting language for tailored data analysis. The platform does not publicly list pricing, requiring potential customers to schedule a demo for more information. Support is available via a contact form and email.

Pros & Cons

Pros
  • Provides a holistic solution for industrial automation, combining edge, cloud, and control components.
  • Integrates AI and machine learning for predictive maintenance and quality control.
  • Supports multi-domain data integration to provide comprehensive process insights.
  • Offers customization through low-code scripting and drag-and-drop dashboards.
  • Designed for retrofitting existing systems without extensive overhauls.
Cons
  • Pricing is not publicly available and requires scheduling a demo.
  • The platform seems complex and may have a steep learning curve for users without an industrial automation background.
  • No public documentation, community forums, or self-service support resources are mentioned on the website.

Features

Key features

Real-time Data Analytics

Collects and analyzes data from sensors, control systems, and log-files to optimize industrial processes.

Edge-AI Capabilities

Deploys AI for machine vision and anomaly detection directly at the edge for high data security and low latency.

Cloud Intelligence

Analyzes IoT data, predicts system behavior, and combines data across domains to eliminate silos.

Test Stand Automation

Automates and controls test stands and experimental setups, increasing reliability and traceability.

Customizable Dashboards

Allows users to create and adjust intuitive dashboards via drag-and-drop to monitor key performance indicators.

Additional features

Predictive Maintenance

Monitors machine conditions to detect anomalies early and avoid expensive downtime.

AI-based Quality Control

Uses AI-powered image processing to detect quality issues and identify root causes of problems.

Process Optimization

Automatically tunes process parameters to improve throughput and reduce energy consumption.

Multi-Domain Data Integration

Combines image data, sensor data, and process parameters for comprehensive insights.

Closed-Loop Operation

Feeds predictions and results back into control systems in real-time for autonomous process refinement.

Low-Code Scripting

Enables specialized data analysis and visualizations without advanced programming knowledge.

TensorFlow Integration

Utilizes the TensorFlow machine learning framework for deep learning models on various data types.

Pricing

Free trial
Free version
Request a quote
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Countries & Languages

—
Countries served
2
Interface languages
—
Billing currencies

Interface languages

EnglishGerman

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