Sitl offers a cloud‑based software‑in‑the‑loop platform that lets developers run high‑fidelity, real‑time simulations of autonomous vehicles, drones, and IoT devices. The service integrates with ROS, MAVLink and custom APIs, providing virtual sensor emulation, physics modeling, and scalable scenario testing so teams can automate regression tests, collect detailed logs, and validate control algorithms without physical hardware.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses need a reliable way to simulate and test autonomous systems, robotics, and IoT devices in realistic virtual environments before deploying them in the real world.
Solution
Sitl provides a cloud‑based software‑in‑the‑loop (SITL) platform that enables developers to run high‑fidelity simulations of autonomous vehicles, drones, and connected devices. The platform integrates with popular robotics frameworks and supports real‑time sensor emulation, physics modeling, and scenario generation. Users can execute automated test suites, perform regression testing, and validate control algorithms at scale without the cost and risk of physical hardware. Results are captured in detailed logs and visualizations, allowing teams to iterate quickly and ensure safety and performance prior to field trials.
Target Audience
Primary customers are autonomous vehicle developers, drone manufacturers, robotics research teams, and IoT product engineers who require extensive simulation testing before hardware deployment.
Features
- Real‑time physics engine with support for aerial, ground, and marine vehicle dynamics
- Virtual sensor suite emulating LiDAR, radar, cameras, GPS, and IMU with configurable noise models
- Integration hooks for ROS, MAVLink, and custom APIs to run existing control software unchanged
- Cloud orchestration for parallel simulation runs, enabling large‑scale test coverage and CI/CD pipelines
- Scenario library with weather, terrain, and traffic conditions, plus tools to create custom environments
- Automated result collection, performance metrics, and visual playback for debugging and reporting