STOCHOS Flow
The facts below are what the maker publishes about STOCHOS Flow, checked and dated. Our editors have not written about it yet.
The facts
Each one read from STOCHOS Flow's own pages, with the date it was checked.
What it does
- Ansys workflow
- STOCHOS Flow reads Ansys Workbench parameters and calls the Ansys Solver node for selective validation.checked 12 Oct 2026
- Audience
- The maker presents STOCHOS Flow for R&D teams in engineering, paint and coatings, and chemical R&D.checked 12 Oct 2026
- Built-in components
- The product page lists 120+ built-in nodes and 14 DIM-GP models.checked 12 Oct 2026
- Cloud models
- Optional cloud models, including OpenAI and Anthropic, are available by choice, and core features work without an AI agent.checked 12 Oct 2026
- Customization
- Users can run custom Python as a workflow step and reuse it across their team.checked 12 Oct 2026
- Deployment and privacy
- The maker says workflows run on the customer's infrastructure and describes air-gapped deployment with no outbound calls when air-gapped.checked 12 Oct 2026
- Exports
- Workflows can be saved as projects, exported as Python packages, or published as Streamlit web apps.checked 12 Oct 2026
- Integrations
- The product page describes connections to user data, Ansys Workbench parameters, Python, databases, solvers, and internal APIs.checked 12 Oct 2026
- Intended users
- The product is presented for R&D teams in engineering, paint and coatings, and chemical R&D.checked 5 Oct 2026
- Local models
- STOCHOS Flow can run a local language model through Ollama; the page recommends at least a 16k context.checked 12 Oct 2026
- Model options
- STOCHOS Flow can use a local language model through Ollama; optional OpenAI or Anthropic cloud models are available, and core features work without an AI agent.checked 5 Oct 2026
- Multi-step workflows
- Yeschecked 24 Sep 2026
- Purpose
- STOCHOS Flow lets R&D teams build node-based technical workflows around the STOCHOS engine and publish finished workflows as web apps.checked 12 Oct 2026
- Security
- The company says workflows run on the customer’s infrastructure and that an offline license supports air-gapped deployment with no outbound network connections.checked 5 Oct 2026
- Support
- The maker offers demos and says it builds custom nodes on request.checked 5 Oct 2026
- Support and customization
- The maker says it builds custom nodes on request and invites teams to request a demo for a workflow close to their problem.checked 12 Oct 2026
- Workflow agent
- The Workflow Agent can build, configure, validate, debug, and document workflows from a prompt.checked 12 Oct 2026
- Workflow Agent
- The Workflow Agent can build, configure, validate, debug, and document workflows from a prompt.checked 5 Oct 2026
- Workflow creation
- Standard workflows need no code, and custom Python can run as a reusable workflow node.checked 5 Oct 2026
The company
- Company
- PI Probaligence is based at Am Schammacher Feld 37, 85567 Grafing bei München, Germany, and says it was founded in 2018.checked 5 Oct 2026
- Headquarters
- Grafing bei München, Germanychecked 19 Oct 2026
- Maker
- PI Probaligence GmbH is based in Grafing bei Munich, Germany, and was founded in 2018.checked 12 Oct 2026
Money
- Local agent costs
- The maker says agents running locally through Ollama incur no per-token API fees or external model costs.checked 5 Oct 2026
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