Turn real work into visual workflows you can control.
Runavelo combines AI-assisted building with a visual editor and deterministic execution. Start with a goal, inspect the generated steps, refine them precisely, and reuse the approved workflow across the applications your task requires.
Start with the problem, not the product category.
Each solution explains what the workflow does, how AI participates, where execution happens, and which parts remain under your control.
Turn a goal into visible, editable automation
Generate supported commands with AI, inspect every parameter and branch, then run the approved workflow without repeated inference for ordinary steps.
Explore the AI workflow builder → BROWSER AUTOMATIONAI browser automation that remains editable
Capture web elements, extract structured data, work across pages, and run isolated browser sessions without turning the result into opaque generated code.
Explore browser automation → PARALLEL BROWSERSRun independent browser sessions on one computer
Keep jobs and browser state separate, cap concurrency, interact through CDP in the background, and preserve worker-specific logs and recovery paths.
Explore parallel browser automation → DESKTOP AUTOMATIONConnect Windows apps, files, browsers, and devices
Build one visual flow for tasks that move between spreadsheets, desktop software, websites, APIs, and connected Android devices.
Explore desktop automation → AI TROUBLESHOOTINGDiagnose failures with the actual workflow context
Give AI access to the flow structure, command parameters, runtime logs, and error stack so it can explain evidence and propose targeted changes.
Explore AI troubleshooting → BRING YOUR OWN MODELChoose the AI provider and protocol that fit
Configure OpenAI, Claude, Gemini, DeepSeek, Kimi, Qwen, or a supported custom endpoint while keeping the workflow as the durable result.
Explore multi-model automation →Use AI to design and repair. Use the runtime to repeat.
An AI conversation is useful when a workflow is being created, revised, or diagnosed. It should not have to reinterpret the same routine task every time it runs.
Runavelo converts the approved design into explicit commands, variables, conditions, loops, selectors, and error handling. Ordinary commands then execute deterministically. Tokens are used only when you open the assistant or intentionally include a model-powered command in the workflow.
This division makes the automation inspectable today and maintainable later. A person can change one timeout, selector, branch, or output without asking a model to regenerate the entire solution.
Bring the AI provider that fits your work.
Use presets for OpenAI, Claude, Gemini, DeepSeek, Kimi, Qwen, and other supported providers, or enter a compatible endpoint and model name. Provider calls follow the configuration you choose; ordinary workflow execution does not require repeated model inference.
A clear data boundary: local workflow commands run on your Windows machine. Information is sent outside the machine only when a workflow calls an external service, uses a cloud feature, or you send context to the AI provider configured for the assistant.
See how a web task becomes an Excel result.
Follow a concrete, editable workflow for collecting permitted webpage data across multiple pages and writing structured output to a spreadsheet.