Orla is a new modelling platform that helps people understand and improve complex systems.
Simulate dynamics intuitively, explore scenarios interactively, and share your work effortlessly online.
Visualise your model with animated canvases, not static diagrams. Adjust sliders to change parameter values as the simulation runs to explore decisions in real time and develop an intuitive understanding of the system's dynamics.
Create multi-attributed stocks to represent material, energy, financial and informational properties. Model processes for the transformation of inputs into outputs. Exploit the built-in unit registry to eradicate unit-matching pain.
Create models with rigorous accounting treatment for financial stocks and flows. Orla automatically checks logical completeness, financial consistency, and algebraic coherence - making it especially useful for money, debt, banking and fiscal models.
Orla separates your model’s underlying structure from the canvases that visualise it - and so avoids spaghetti diagram chaos. Create multiple canvases to illuminate subsystems and keep models comprehensible as they grow.
Turn models into learning experiences with text annotations, hover tooltips, graphs on the canvas, and even embedded explainer videos. Publish models with a URL so collaborators, students or the public can run them directly in the browser.
We’re inviting a small group of early users to build real models in Orla, influence the product roadmap, and help shape a more visual and rigorous approach to systems modelling.
Founding users receive direct access to the team, early visibility into new features, and three years of free Orla usage.