World Model Simulation in Infrastructure For Robotics
Powered by AuraSIM—a cloud-native, text‑to‑simulation engine.
Why We Exist & Core Purpose
At AuraML, our mission is to build the foundational infrastructure for training and testing intelligent systems, through high-fidelity simulation, synthetic data, and multi-modal world models. We believe the next generation of AI, robotics, and autonomous agents will need to understand and interact with the real world, and that starts with building better digital representations of it.
To help AI systems learn faster, adapt smarter, and operate safely in the real world.Whether it’s training robots to navigate complex environments, simulating edge cases for autonomous vehicles, or generating diverse synthetic datasets for AI models, our mission is clear: To give machines the tools to understand, reason, and act with intelligence and precision.
AuraML’s work in multi-modal world models and simulation is accelerating global progress, from smarter cities to safer automation. We’re not just building for today, we’re engineering impact for decades to come
From large-scale experiments to daily code reviews, we embrace every opportunity to learn fast, adapt, and grow, individually and as a team
MMWM: Building Superintelligent Robot “Perceive. Predict. Plan. Transfer.”
The core foundation model suite powering next-generation robotic intelligence, from raw perception to complex reasoning, through richly simulated, physics-aware, multimodal world understanding.
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Predict: Teach robots toseethe future.
A world-leading predictive model that generates up to60 seconds of realistic, high-fidelity future simulation from a robot’s camera feeds, sensor inputs, or verbal instructions.
With unparalleled speed, accuracy, and context retention, it empowers robots to anticipate human actions, object trajectories, and environmental changes before they happen.
Transfer: Enable robots to adapt instantly across worlds.
A multi-control transfer model that learns and simulates the same task or scene across lighting, terrain, and domain shifts, using structured or raw multimodal inputs.
Robots can train once and generalize everywhere, leveraging photorealistic synthetic environments fused with ground-truth physics from the real world.
Reason: Give robots true understanding and goal-driven cognition.
A customizable multimodal reasoning engine that lets robots plan, react, and think using spatial-temporal world graphs, visual-language grounding, and chain-of-thought logic.
Trained with vision-language alignment, reward-based planning, and reinforcement learning, it equips robots to make decisions, explain actions, and collaborate with humans in open-world scenarios.
Your Simulation Workflow, Accelerated
AuraSIM connects your robotics stack with a generative simulation engine that accelerates development across perception, planning, and control.
Who We Serve
Industrial Automation
Industrial Automation
Virtual Factories. Real Automation
Robotic Arms (welding, assembly)
SCARA & Delta Robots (pick-and-place)
CNC-Integrated Bots
Mobile Manipulators
Validate assembly workflows
Train in precise, multi step operations
Run HRI and fault-handling scenarios
Logistics & Warehousing
Logistics & Warehousing
Train robots to move goods like clockwork
AMRs & AGVs
Sorting Robots
Pick and Place Vision Bots
Palletizers
Optimize fleet coordination
Test last meter navigation
Run HRI and fault handling scenarios
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Defense & Aerospace
Defense & Aerospace
De-risking high-stakes autonomy
UGVs and UAVs
Recon Drones
Surveillance Crawlers
Tethered Inspection Units
Test in tactical or unstructured terrain
Validate mission logic
Train multi agent recon and AI perception
Agriculture Robotics
Agriculture Robotics
Smarter fields. Adaptive farming
Harvesting Robots
Autonomous Tractors
Drones for crop monitoring
Weeding/irrigation platforms
Simulate terrain and crop variability
Train plant health monitoring AI
Precision farming scenario testing
Energy & Utilities
Energy & Utilities
Robots that inspect, climb, and dive
Pipeline Crawlers
Substation Maintenance Bots
Wind Turbine Inspectors
Underwater ROVs
Wall Climbing Robots
Hazard modeling (heat, wind, pressure)
Validate remote maintenance operations
Train vision and control in extreme environments
Our team
We’re a fast-moving team of AI researchers, roboticists, and engineers building the future of intelligent systems. With backgrounds in top research labs and deep tech startups, we’re united by a shared mission: to teach machines how to understand and interact with the real world.
We're hiring!
If you're excited about world models, simulation, and robotics, we’re hiring.
Join us in building generative simulations that teach robots to operate in the real world.
We’re solving some of the hardest problems in robotics, world modeling, sensor fidelity, and real-to-sim transfer, with a full-stack engineering mindset.
Contact Us
Talk to an Industry Specialist