
AuraML helps robotics teams train and validate robots by generating realistic, diverse simulated environments and sensor data from simple prompts. The company’s cloud-based AuraSIM platform uses generative text-to-3D models, a synthetic-data engine, and advanced sensor simulation to produce LiDAR, radar, thermal, and optical outputs for training and testing. AuraSIM targets robotics engineers and AI teams with tools that create accurate simulation scenarios automatically and integrate into engineering workflows. The product is positioned as a B2B SaaS simulation platform for developing embodied AI and robot autonomy. AuraML’s approach addresses the need for scalable, industry-grade datasets and environments to accelerate real-world robot deployment.

AuraML helps robotics teams train and validate robots by generating realistic, diverse simulated environments and sensor data from simple prompts. The company’s cloud-based AuraSIM platform uses generative text-to-3D models, a synthetic-data engine, and advanced sensor simulation to produce LiDAR, radar, thermal, and optical outputs for training and testing. AuraSIM targets robotics engineers and AI teams with tools that create accurate simulation scenarios automatically and integrate into engineering workflows. The product is positioned as a B2B SaaS simulation platform for developing embodied AI and robot autonomy. AuraML’s approach addresses the need for scalable, industry-grade datasets and environments to accelerate real-world robot deployment.