New AI-MATTERS FAQ: Your Questions About Testing AI, Answered
Exploring AI in manufacturing comes with many questions. To make finding the answers easier, AI-MATTERS has launched a new Frequently Asked Questions (FAQ) page.
From Industrial Challenge to Validated Humanoid Robotics Application with the AI-MATTERS Czech Node
Discover how Humanoids can be validated for industrial with AI-MATTERS. Test AI capabilities, validate feasibility and reduce deployment risks.
Our partners in the spotlight: ITA
Discover our partner ITA
How to use the AI-MATTERS Service Catalogue
Discover how to use the AI-MATTERS Service Catalogue: your entry point to testing and validating AI solutions in real manufacturing environments.
How Dynamic Robot Task Planning & Resource Orchestration helps you improve efficiency in manufacturing
Discover how Dynamic Robot Task Planning & Resource Orchestration can be validated in a real production environment with AI-MATTERS.
How EBROACERO evaluated AI-based perception technologies through testing and validation
Discover how Ebroacero tested and validated AI-enabled 3D perception technologies for robotic cutting automation in steel casting processes through AI-MATTERS – including results, insights and lessons learned.
AI-MATTERS Newsletter Q3, 2026
In this version: User Stories, AI-driven robot control for flexible manufacturing, reliable object detection, and future events…
How CASP used AI to further enhance visual inspection of elevator panels through testing and validation
Discover how CASP tested and validated AI in a real production environment with AI-MATTERS – including results, insights and lessons learned.
How systematic evaluation of generative AI and AI agents helps you deploy trustworthy AI assistants in engineering and manufacturing
Discover how systematic evaluation of generative AI and AI agents helps you deploy trustworthy AI assistants in engineering and manufacturing
How Inno-group uses AI to drastically reduce quality errors
Discover how Inno-group validated AI-powered visual quality inspection through AI-MATTERS to reduce quality errors before investing in production-scale implementation.