Get real-time predictions about scrap including
prediction confidences.
Get to know the most relevant process influences on
scrap automatically and as a report.
Get to know how to prevent scrap by optimized
process parameter recommendations.
Understand and improve
process influences
Get quality and scrap
predictions + root causes
Get and configure optimal
process parameters
Monitor and control
software & resource usage
Visualize the directional influence and importance of every single process parameter, create and share reports and derive improvements.
Know about the quality of a part already before inspection and find hidden root causes for quality issues. Make quality assurance & control efficient.
Continuously get recommended configurations for your process – live and taking into account any process changes. Increase reliability and repeatability.
Always know and administrate who is using the software with which resources. Scale the software internally easily, securely and stabily.
Project Subtitle
Data-based evaluation of the wire electrical discharge machining process
Companies & Partners
WBA Aachener Werkzeugbau Akademie GmbH, Mak…
Project Subtitle
Quality Control of Vehicle Assembly using an Ultrasonic Imaging Sensor with Embedded Artificial Intelligence
Companies and Partners
Tessonics…
Project Subtitle
Industrial Reinforcement Learning for the Quality Control of Metal Forming Processes
Companies & Partners
Mubea, Tailor Rolled Blanks Gmb…
Understand your use-case and requirements
Know if your current data is suitable
Know how to improve your data if needed
We will extract the full data potential
Know the feasability for your use-case
Know the return on investment
Get roadmap after a successful proof of concept
Learn more about AI in Manufacturing and its use-cases.