Simular is building the world’s first autonomous computers—systems that can use software like humans do. From browsing websites and filling out spreadsheets to running creative tools and managing workflows, Simular enables a new era of human-computer interaction where software operates itself. Whether you’re a solo founder, a global enterprise, or an AI researcher, Simular gives you access to the future of computing: computers that think, act, and get things done—autonomously.
I’ve been using Simular for the past few months to run high-fidelity simulations for our autonomous drone project, and it’s quickly become one of the most valuable tools in our workflow. The realism of the physics engine, combined with the flexibility of environment customization, allows us to test edge cases that would be dangerous or impractical in real life. One of Simular’s strongest points is its ability to integrate with ROS and other common robotics frameworks. It made the transition from prototype to simulated testing incredibly smooth. The cloud-based scalability is a game-changer too—we can run hundreds of scenarios in parallel, which speeds up development and debugging significantly. The UI is fairly intuitive for experienced users, but there’s a bit of a learning curve if you're new to simulation platforms. Documentation is decent, though I’d love to see more real-world example projects or video tutorials added. My only minor gripe is the occasional glitch when switching between environments or loading complex assets—nothing show-stopping, but something I hope they continue to optimize in future updates. Overall, Simular feels like a mature, thoughtfully designed product that fills a real need in robotics and AI development. If you're serious about testing in virtual environments before field deployment, it's absolutely worth a look.
