News & Presse

PI Probaligence Gmbh


Wir freuen uns auf die Teilnahme beim diesjährigen European Automotive & Plastic Coating Event in Stuttgart am 10. - 11. September 2024 auf welchem wir unser Forschungsprojekt mit den Partnern Mankiewicz, Fraunhofer IFAM, HS Niederrhein, Füll Lab Automation und AOM Systems vorstellen und zeigen wie mit STOCHOS reale Prozessdaten für eine ML-geführte Lackentwicklung und Prozesskontrolle genutzt werden können.


Am 13. und 14. Juni sind wir auf der zweiten Workference der SPFA mit dabei. Weitere Details zu der Veranstaltung hier.


Wir freuen uns auf das BiotechX Webinar "How in silico technologies could accelerate and amplify AI deployement for pharmaceutical applications” am 19. Juni.


Besuchen Sie uns auf der diesjährigen CADFEM Conference in Rapperswil am 20. Juni. 


Lesen Sie unseren Artikel "AI for Engineering" in der Fachzeitschrift Der Konstrukteur Der Konstrukteur

In an article published by Der Konstrukteur, we showcase the benefits of our software development in the engineering sector,


Our presentation on multi-fidelity was well received at the CADFEM Conference 2024. We are pleased about the numerous new contacts and the many specialists who recognized our advantages so quickly.


PI Probaligence nimmt an der CADFEM Conference 2024 im April teil

Pi nimmt mit eingenem Stand und zwei Präsentationen an der CADFEM Conference 2024 in Darmstadt teil.


Auf Multiskalen-Modellierung und maschinellem Lernen basierende Simulation des mechanischen Verhaltens von Graphitkomposit-Werkstoffen.


Wir stellen unsere neuesten Entwicklungen im Bereich Maschinelles Lernen für Ingenieursanwendungen am 4. April in Brasov, Rumänien vor und hoffen auf interessante und gute Gespräche mit führenden Entwicklern auf dem Gebiet.



Project meeting with the project partners at the Fraunhofer Institut in Bremen

Together with partners from industry, research and universities, we develop a Machine-Learning guided coating formulation using high throughput experimentation.


CADFEM has brought PI Probaligence on board as a partner with outstanding solutions and expertise to provide customers with targeted support as they move into the world of AI.


By changing our default backend the already fast training time of our ML algorithms STOCHOS and PI-BO can be almost improved by factor 2. 


The MIT Technology Review published a new study about the carbon footprint of general, giant ANNs used for example for picture generation and energy needed for the model usage.


Again PI-BO was the best performing optimizer. Similar to BOSCH this time ZF came to the same conclusion.


We are proud that only after only 4 adaptations we came already very close and partly even better than the results of commercial color matching software using standard formulas


On 19.10.2023, the official kick-off event of the “Green Tech Innovation Competition” took place in Berlin. The aim of the projects funded by the BMWK in this context is to use sustainable digital technologies to contribute to the achievement of German and European climate and environmental protection goals within the framework of the 2030 Agenda.


Together with our partners from Humotion GmbH and the Medical School Hamburg PI joined the SMHS 2023 to present our Smart Injury Project.


Project: Na, Logisch! : Sustainable paint development through digital technologies for climate and environmental protection

Pi is proud to participate on the project Na, Logisch!


We are very happy and proud of the feedback we received from BOSCH on the Ansys WOST Conference last week for our PI-BO Optimizer.


Ansys integrates Stochos in optiSLang

Ansys Inc. an US developer of  CAE/multiphysics engineering simulation software for product design, testing and operation integrades part of STOCHOS in their process integration & design optimization tool optiSLang.


The “Smart Injury Prevention” research project starts with the aim of using artificial intelligence (AI) to detect potential running injuries in a timely manner and thereby prevent them. For this purpose, the specialist for body-hugging sensors Humotion GmbH and the software expert PI Probaligence GmbH, together with the University of Hamburg, are developing intelligent software for the personalized prediction of running injuries.

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