Release · January 12, 2026

Introducing STOCHOS Flow: AI-assisted workflow automation for engineers

PI Probaligence introduced STOCHOS Flow on 12 January 2026: a visual workflow editor that brings the capabilities of STOCHOS into an intuitive, AI-driven environment. Built by engineers, for engineers.

STOCHOS Flow launch graphic: the SF monogram and STOCHOS Flow wordmark on a dark background with glowing orange network nodes

If most of your time goes into automating workflows, connecting tools, and writing custom scripts instead of engineering itself, this is for you.

  • Build with an agent, not just chat with one. Describe what you want and the agent works alongside you on the canvas: it creates nodes, wires workflows, configures parameters, and helps debug. Build AI models, run optimizations, generate data, connect simulation tools, write custom scripts.
  • Everything runs 100% locally. No cloud, no data leakage, no IP risk, designed for real engineering environments.
  • It learns your engineering knowledge. RAG-based, so you can teach the agent your internal standards, proprietary methods, solver APIs, and workflow documentation.
  • Built to extend, not constrain. Custom Python solver nodes, tool integrations via MCP servers, one-click export to web apps, and workflow export as standalone, production-ready Python code. Your workflows are never locked in.

The result: less infrastructure work, fewer brittle scripts, faster iteration, and more time on the real problems.

Next step
Product
STOCHOS Flow

Build, train, and deploy the workflow visually.

Guide
Build an ML workflow without an ML team

The engineer who owns the problem builds the model.

Interactive demo
Try to beat STOCHOS

Three use cases, about two minutes each.

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