AuraML
Generative simulation platform powering real‑world robotics development
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Overview
AuraML’s AuraSIM is a cloud‑native simulation and synthetic data engine designed for advanced robotics workflows. By transforming simple text prompts into physics‑aware 3D worlds and simulating multi‑sensor outputs (e.g., LiDAR, radar, cameras), it reduces reliance on costly physical trials. The platform supports scalable multi‑robot testing, predictive future simulation, and transfer learning across environments. AuraML’s focus on realistic sim‑to‑real fidelity empowers teams to iterate faster and deploy safely.
Who It's For
Robotics engineers, Autonomous systems teams, AI researchers, Industrial automation developers, Simulation infrastructure teams
Key Strengths
High‑fidelity generative simulationSynthetic multi‑sensor data generationCloud‑native scalable infrastructureReduces sim‑to‑real gap
Primary Use Cases
Realistic robotics simulation for training and validation
Synthetic data generation for machine learning models
Multi‑robot fleet testing and coordination
Predictive and adaptive behavior modeling
Transfer learning across environments
Technical Specifications
Supported AI Models
Proprietary generative AI
Deployment Methods
CloudOn-premise
Supported Languages
English
Company Information
Location
Bengaluru, India
Company Size
2-10 employees