AuraML

Train robots like they’re already in the field

AuraSIM simulations replicate real world complexity, so you can develop, test, and deploy robotics system with confidence and speed.

Large World Modeling

Captures spatial, physical, and contextual dynamics of complex environments.

Sensor & Actuator Simulation

Emulates real world inputs (e.g. cameras, LiDAR, force sensors) and hardware behavior with precision.

Autonomy Testing

Stress test navigation, manipulation, and edge case logic in synthetic but realistic scenarios.

Cloud Native Scalability

Train models, run multi agent scenarios, and iterate faster entirely in the cloud.

Real to Sim Transfer

Bridging the gap between synthetic training and real world performance through adaptive simulation.

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Where rigid systems failed, we learn.

Echoes of Automation: The Forgotten Factory

A 200,000 sq. ft. facility silent, rusted, abandoned. 25 robotic arms lie still. Forklifts stalled mid path. Conveyor belts frozen mid task. Not because of hardware failure but because the system couldn’t adapt. No flexibility. No context. No resilience.

AuraSIM turns this failure into simulation fuel. By replicating breakdowns, unknowns, and edge cases, we train systems to think ahead, not follow. Robots learn how to react not just act. We don’t simulate perfection. We simulate reality. 

Solving: 
Brittle automation. Zero tolerance to variability. Long debug loops.

Distributed intelligence. Real-time collaboration.

The Future in Motion

300,000 sq. ft. of adaptive robotics. AMRs, arms, forklifts, and human workflows operating as one. Every task is reprioritized on the fly. Downtime is predicted before it happens. Systems don’t wait for commands they understand intent.

AuraSIM makes this possible by enabling scalable, continuous training across thousands of dynamic scenarios. Robots aren’t just deployed they’re prepared. This is not a warehouse. It’s a symphony of autonomy.

Solving: 
System fragmentation. Manual reprogramming. Fragile task pipelines.

From control to coordination. From rules to reasoning.

Harmony in Motion

250,000 sq. ft. of multi agent choreography. Forklifts and AMRs sync in milliseconds. Conveyor flows adjust based on live inputs. Vision models detect, adapt, and reroute in real-time. There are no fixed paths only evolving decisions. 

AuraSIM powers this through generative simulation at scale. Robots train in probabilistic worlds learning to adapt, collaborate, and recover from failure before ever touching hardware.

Solving: 
Static logic. Non-recoverable faults. High real-world iteration costs.

Robots don’t just move. They learn. They adapt. They scale.

Unified Vision

AuraML Multi model world model is not a LWM.

It’s an intelligence factory.
It compresses years of deployment experience into days of virtual training.
It replaces hand-coded rules with learned behaviors.
It closes the sim-to-real gap not just visually, but functionally.

We build Multimodal World Model (MMWM) with generative simulations that mirror the real world.