Modularex provides a cloud‑native simulation platform that lets robotics developers, research labs, and competition organizers design, execute, and analyze autonomous robot scenarios through a web interface. It combines a PhysX‑based physics engine with native ROS/ROS 2 support, real‑time telemetry dashboards, AI‑driven anomaly detection, and collaborative version‑controlled assets, all delivered on scalable cloud compute via a subscription model.
Funding
Funding not disclosed
Founders
Product
Problem
Robotics teams and educators often rely on costly physical hardware or fragmented open‑source tools to prototype and evaluate autonomous robot behaviors, which limits repeatable testing, scalability, and rapid iteration of challenge scenarios.
Solution
Modularex delivers a cloud‑native simulation platform that lets users design, execute, and analyze robot challenge environments entirely through a web interface. The service incorporates a high‑fidelity physics engine and native ROS/ROS 2 support, enabling realistic sensor and actuator modeling without any on‑premise infrastructure. Simulation runs generate telemetry streams that are automatically ingested into an analytics dashboard, where built‑in performance metrics and AI‑driven anomaly detection highlight behavioral issues. Collaborative workspaces allow multiple contributors to version‑control scenario assets and share results in real time. All capabilities are accessed via a subscription model that includes continuous updates, cloud compute credits, and API access for CI/CD pipelines.
Target Audience
Primary customers are robotics developers, university research labs, and competition organizers who need a repeatable, cost‑effective environment for testing autonomous robot algorithms at scale.
Features
- Drag‑and‑drop scenario builder with parametric modular assets (obstacles, conveyors, lighting) and version‑controlled libraries
- PhysX‑based physics engine with deterministic simulation and support for ROS 1/ROS 2 message passing
- Real‑time telemetry streaming to a web dashboard, featuring latency‑aware visualizations, KPI charts, and AI‑powered failure prediction
- RESTful and gRPC APIs for automated test orchestration, CI/CD integration, and data export to external analytics platforms
- Multi‑user collaboration tools with role‑based access control, change tracking, and in‑app commenting
- Scalable cloud compute allocation with pay‑as‑you‑go GPU/CPU resources, auto‑scaling based on simulation load
- Built‑in scenario validation suite that checks for sensor saturation, collision safety, and compliance with competition rules