# PI Probaligence
> “Local, probabilistic AI for engineering and R&D. STOCHOS and STOCHOS Flow build fast, uncertainty-aware surrogate models from simulation, experimental, and process data.”

- Canonical entity: https://readyscan.ai/entities/pi-probaligence-q141489799
- Website listed in the source snapshot: https://probaligence.com/
- Category: [Software](https://readyscan.ai/directory/software)
- Machine record: https://readyscan.ai/discovery/entities/pi-probaligence-q141489799.json
- Material fingerprint: fnv1a64:fe265e928a3aa3f0
- Entity revision: fnv1a64:f26c53012e5d5c3c
- Published: 2026-10-23
- Modified: 2026-10-23

## Company details
- [Founded](https://readyscan.ai/entities/pi-probaligence-q141489799#company-fact-wikidata-p571-541c9d65d78f0139): 2018 Sources: https://www.wikidata.org/wiki/Special:EntityData/Q141489799.json?revision=2547062467

## Questions & answers
### [What does PI Probaligence do?](https://readyscan.ai/entities/pi-probaligence-q141489799#company-answer-content-native-digital-agencies-14f6f6a735fbdb69-a-15a9fd4e6ad493db3d0a)
“PI Probaligence develops local, probabilistic AI for engineering and R&D. It uses your existing simulation, experimental, and process data to build fast surrogate models that predict results for new variants and quantify uncertainty. This shortens development cycles and supports more reliable decisions, without needing an in-house ML team.”
Sources: https://probaligence.com/

### [What is probabilistic AI?](https://readyscan.ai/entities/pi-probaligence-q141489799#company-answer-content-native-digital-agencies-14f6f6a735fbdb69-a-18c1bb0879d97e621672)
“Probabilistic AI returns a prediction together with a measure of confidence, not a single number with no context. For engineering, that means you can see where a model is reliable and where it is not, which matters when decisions carry cost or risk and data is limited.”
Sources: https://probaligence.com/

### [What is the difference between STOCHOS and STOCHOS Flow?](https://readyscan.ai/entities/pi-probaligence-q141489799#company-answer-content-native-digital-agencies-14f6f6a735fbdb69-a-ee3ae111d51c139c3121)
“STOCHOS is the probabilistic intelligence layer: the modeling, prediction, and optimization engine. STOCHOS Flow is the visual, agentic workflow layer to build, automate, reuse, and export workflows. STOCHOS does the predicting; STOCHOS Flow makes it accessible and repeatable for a team.”
Sources: https://probaligence.com/

### [Where is PI Probaligence based?](https://readyscan.ai/entities/pi-probaligence-q141489799#company-answer-content-native-digital-agencies-14f6f6a735fbdb69-a-c4f5f2a891eb26bde7cc)
“PI Probaligence is based in Grafing bei Munich, Germany. It was founded in 2018 as a spin-off of the Institute for Modeling and High Performance Computing at Niederrhein University of Applied Sciences, and works with engineering and R&D teams internationally.”
Sources: https://probaligence.com/about/

### [Is PI part of CADFEM?](https://readyscan.ai/entities/pi-probaligence-q141489799#company-answer-content-native-digital-agencies-14f6f6a735fbdb69-a-db183067939f44122113)
“Yes. The CADFEM Group acquired a stake in PI Probaligence, and PI has been part of the CADFEM Group since 2024. PI continues to develop STOCHOS and STOCHOS Flow as its own products for engineering and R&D.”
Sources: https://probaligence.com/about/

### [Is PI an Ansys partner?](https://readyscan.ai/entities/pi-probaligence-q141489799#company-answer-content-native-digital-agencies-14f6f6a735fbdb69-a-6d8aef37794347201d0b)
“Yes. PI Probaligence is an official Ansys Technology Partner. STOCHOS Flow connects to Ansys workflows, reading Ansys Workbench parameters and calling the Ansys Solver node for selective validation, so the solver stays the source of truth.”
Sources: https://probaligence.com/about/

### [How do I request a demo?](https://readyscan.ai/entities/pi-probaligence-q141489799#company-answer-content-native-digital-agencies-14f6f6a735fbdb69-a-25cf6aba813aaaf06c52)
“Use the Request a Demo button or the contact page. Bring one use case, bottleneck, or dataset, and we can outline where STOCHOS fits and what a realistic proof of concept could look like. PI often works with teams that have no in-house machine learning team.”
Sources: https://probaligence.com/about/

## Company sources
- [PI Probaligence website](https://probaligence.com/) — probaligence.com · [Related Ready Scan knowledge](https://readyscan.ai/sources/source-14f6f6a735fbdb69)
- [probaligence.com/about/](https://probaligence.com/about/) — probaligence.com · [Related Ready Scan knowledge](https://readyscan.ai/sources/source-bc398f730103daf7)
- [wikidata.org/wiki/Special:EntityData/Q141489799.json](https://www.wikidata.org/wiki/Special:EntityData/Q141489799.json?revision=2547062467) — wikidata.org · [Related Ready Scan knowledge](https://readyscan.ai/sources/source-893cea25ec3f7589)

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