Local, probabilistic AI for engineering and R&D.

Agentic, physics-aware AI
Partners, customers, and research collaborators
Ansys CADFEM SimuTech Group MESco TSNE Bosch ZF GEMU DLR Adler Lacke Mankiewicz Dulux Plixxent Fraunhofer Hochschule Niederrhein FUELL Lab Automation Humotion Universitaet Hamburg Robert Bosch Stiftung
The opportunity
Turn small, expensive data
into answers you trust.

STOCHOS does it locally.

Two layers, one local system

What PI Probaligence provides

STOCHOS predicts. STOCHOS Flow turns it into agentic, reusable workflows. Both run locally.

STOCHOS Flow

Workflow layer

From a sentence to a running workflow, in three steps.

01 · Describe
“Train a model on my Excel data and show me how accurate it is.”

Plain language, to the Workflow Agent.

02 · The agent builds
The node pipeline the Workflow Agent built on the STOCHOS Flow canvas

Nodes picked, wired, and configured on the canvas.

03 · Yours to keep
Local
Runs on your systems, local LLM included.
Transparent
No black box: every node visible and editable.
Reusable
Workflows become assets your whole team runs.
Explore STOCHOS Flow →
By domain

One engine, three domains

AI for Engineering

Accelerate CFD, FEM, and CAE.

Predict full fields, shortlist the variants worth a full solve, and cut the number of expensive simulations.

AI for Paint and Coatings

Reach the target formulation with fewer lab trials.

Match color and properties, and get to a working coating in fewer adaptation cycles.

AI for Chemical R&D

Smarter experiments across lab, pilot, and production.

Plan the next best experiment, connect scales, and reach targets with less trial and error.

Partners and reach

Hundreds of workflows, all over the world

An official Ansys Technology Partner, with a global partner network behind hundreds of engineering and R&D workflows.

Official Ansys Technology Partner Part of the CADFEM Group
Local-first and secure

Your data and IP never leave your systems

Air-gapped deployment No outbound calls when air-gapped Local LLM via Ollama

See STOCHOS on your own data

Talk to our experts, find the right use case in your domain, and see STOCHOS run on your own data.

Request a Demo Explore STOCHOS

Common questions

01What does PI Probaligence do?

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.

02What is probabilistic AI?

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.

03What is the difference between STOCHOS and STOCHOS Flow?

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.

04Does the software run locally?

Yes. PI is local-first. Every workflow runs on your own infrastructure, and STOCHOS Flow can use a local language model through Ollama. Optional cloud models are available only if you choose them. Local execution keeps sensitive data and IP on your systems, which matters for confidentiality and compliance.

05Can it run offline?

Yes. Using an offline license, STOCHOS supports fully air-gapped deployment: installed and run with no outbound network connections, so the entire workflow stays sealed on your own systems. The predictive engine and a local language model through Ollama run offline, and cloud models are simply off. The default networked install performs an online license check.