probabilistic AI, simplified
STOCHOS
Flow
By combining node-based workflow design with AI assistance, STOCHOS Flow enables engineers to automate simulations, build optimization loops, and integrate machine learning—while maintaining full transparency and control over every step.
Visual Workflow Design for Engineering
Design complete computational pipelines by visually connecting modular nodes—data sources, solvers, machine learning models, and post-processing steps—on an interactive canvas. Workflows remain readable, structured, and reusable, even as complexity grows.
Drag-and-drop node-based pipelines
Live execution with data-flow visualization
Loop nodes for parameter sweeps and optimization
Hierarchical workflows for large projects
Direct integration of external solvers (like ANSYS, MATLAB…)
AI-Assisted Workflow Creation
STOCHOS Flow includes an integrated AI assistant that understands the structure and logic of your workflows and supports their creation and refinement through natural language. The assistant can generate Python code and custom nodes when new functionality is required, explain node configurations and data dependencies, identify execution errors, and provide concrete suggestions for improving or optimizing existing workflows. Depending on project requirements, users can choose between local large language models for full data sovereignty or cloud-based models for extended capabilities.
Built for Advanced Engineering & ML
STOCHOS Flow integrates seamlessly with the STOCHOS Python ecosystem, making advanced data-driven engineering methods directly accessible within visual workflows. Users can train probabilistic surrogate models on simulation or experimental data, perform Bayesian optimization for design and parameter tuning, carry out sensitivity and uncertainty analyses, and combine low- and high-fidelity data sources in a single, consistent workflow—all without switching to external scripting environments.
Extensible and Future-Proof
The platform is designed to evolve alongside engineering requirements. STOCHOS Flow can be extended with additional tools, services, and integrations, allowing users to connect external databases, repositories, or knowledge sources. Workflows themselves become reusable building blocks that can be composed into larger automation pipelines, enabling a smooth transition from exploratory setups to production-ready solutions.
Privacy-First, Local-First
STOCHOS Flow is built for industrial and research environments where data protection and IP security are critical. All workflows can be executed fully locally, including AI-assisted features when using local language models. No mandatory cloud connection is required, sensitive data remains on-site, and secure handling of credentials ensures controlled access to optional external services.
Professional Visualization Included
High-quality visualization is an integral part of STOCHOS Flow. With built-in ParaView support, simulation results and three-dimensional data can be explored, analyzed, and visualized directly within the workflow environment, eliminating the need for external post-processing tools.
where visual workflows, AI assistance, and engineering intelligence come together
- Simulation automation from pre-processing to post-processing
- Design space exploration and optimization
- Surrogate model training for rapid evaluation
- Uncertainty propagation and robustness analysis
- Multi-fidelity simulation campaigns
where visual workflows, AI assistance, and engineering intelligence come together
Ready to simplify complex engineering workflows?
Discover how STOCHOS Flow can turn simulations, optimization, and AI into clear, reusable visual pipelines.
Contact us to request a demo or discuss your use case.
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