Build Real Workflows
Design processes with code or visually, with changes reflected in both.
Simulate before you build. Catch failures before they cost you.
Four core capabilities that make automation simulation actually useful
Design processes with code or visually, with changes reflected in both.
Catch errors, resource conflicts, and timing violations as you design.
Define your own success criteria and validation logic with JavaScript.
Model equipment, spaces, and digital systems, including UI displays.
Four-step process that transforms ideas into validated simulations
Visual drag-and-drop editor for task scheduling, resource allocation, and actor coordination. Move tasks between actors, resize durations, add dependencies - all while the validation engine runs computational checks in the background.
Automatically computes throughput rates, resource efficiency, labor utilization, cost per unit, and cycle times. Get instant feedback on whether or not your simulation is makes economic sense, and ensure that it follows the laws of Physics!
Standardised simulation schema that distinguishes between persistent equipment (with states like clean/dirty/in-use) and consumable resources (with quantities that get depleted). Tasks interact can interact with objects by modifying their properties.
Tasks can make use of the 'interactions' concept. The simulation engine will execute the interactions defined in tasks when the task start time is reached. This means that tasks can modify objects in any way - from changing its emoji, to reducing the capacity of a server during a hardware upgrade.
Explore our growing collection of interactive simulations organised by industry domain
Interactive simulations of automated food processing, baking workflows, beverage production, and more.
Simulations of automation in computing, software development, telecommunications, and digital infrastructure.
Industrial manufacturing automation simulations across different sectors and production workflows.
Autonomous vehicle simulations, logistics automation workflows, and transportation system models.
Medical robotics simulations, diagnostic automation workflows, and healthcare delivery system models.
Interactive models of automated content creation, gaming systems, and entertainment production workflows.
Transparent validation engine and open metrics catalogue
Economic feasibility and operational constraint validation
Free for open source, enterprise options available
Understand and extend every validation function
A complete ecosystem for automation knowledge and validation
The simulation playground connects to our growing wiki of validated automation processes. Learn from working examples, contribute your own discoveries, and build on proven approaches rather than starting from scratch.
The validation framework includes metrics that matter in actual business contexts: throughput analysis, resource efficiency calculations, economic feasibility checks, and operational constraint validation.
The entire platform is transparent and community-driven. The validation engine, metrics catalogue, and simulation framework are all open for inspection and contribution. No black box algorithms, it's computational validation you can understand and extend.
The Universal Automation Wiki project follows an 'open core' licensing model and uses the AGPL 3.0 license. That means that you're free to extend, improve, or otherwise modify the code for your purposes, however, your changes legally must be made public and open source, you must also adopt this license.
The Universal Automation Wiki will provide paying enterprises with an alternative license, the Apache 2.0 license, which will permit them to keep their changes private. If you're interested in purchasing an enterprise license, please email contact@universalautomation.wiki.
Most automation projects fail not because the technology doesn't work, but because the process design doesn't account for real-world constraints. Resource conflicts, timing dependencies, equipment limitations, and human factors. These are predictable problems that a simulation would catch early.
By testing automation workflows in a validated simulation environment, you can identify genuine bottlenecks, understand real resource requirements, and make informed decisions about what's actually worth automating.
Start building validated simulations instead of crossing your fingers and hoping for the best.
Launch Playground