AI to automate quality control in metal manufacturing
Discover how AI-powered Quality Control Systems Work and how they could benefit your manufacturing business.
How LinkRobotics Validated Centimetre-Level Localization and Mapping Performance in Dynamic Industrial Environments with AI-MATTERS
Link Robotics validates centimetre-level localization, mapping, and obstacle avoidance with AI-MATTERS to accelerate industrial robot deployment…
How Sideius validated and scaled AI for Quality Control in manufacturing with AI-MATTERS
Learn how Sideius validated AI for quality control in manufacturing using AI-MATTERS. Discover how to test and scale AI solutions with real production data.
How FIZIX Strengthened Machine Health Monitoring with AI-MATTERS
FIZIX validates its AI-based predictive maintenance sensor under real CNC machining conditions with AI-MATTERS support…
Driving Innovation with AI: How TRYGONS is Transforming Manufacturing with AI-MATTERS
AI-MATTERS supports TRYGONS in enhancing operator guidance and assembly accuracy using AI in manufacturing.
Driving Practical AI Adoption in Manufacturing: How ENFORGE Worked with AI-MATTERS
ENFORGE validates an AI-powered onboarding assistant for digital twin workflows in manufacturing SMEs with AI-MATTERS support…
From Thermal Signals to Actionable Insights: Simtera’s RSW Innovation Powered by AI-MATTERS
Simtera validates its AI-powered welding cycle analysis model with AI-MATTERS, achieving real-time anomaly detection and TRL 6 readiness…
Process Automation Solution – Lentis Technologies X AI-MATTERS
Thanks to their collaboration with AI-MATTERS, Lentis Technologies was able to develop standardize products in an industry which is otherwise highly custom. This is their story.
Scaling AI-powered Vision Solutions – Irida Labs X AI-MATTERS
“We knew that vision AI could provide valuable insights and measurable data in assessing the quality of welding metal processes and help us streamline operations, but we didn’t have the proper testing facilities or expertise to experiment with the technologies ourselves,” explains Christos Theocharatos, COO, Irida Labs.
Improving Accuracy & Reliability of Manual Assembly – TRYGONS X AI-MATTERS
“All development and testing were carried out in a structured environment under realistic conditions, without interfering with our ongoing production, something we couldn’t have realistically achieved on our own under normal operating conditions,” says Evagoras Zervas.