We build Multimodal World Model (MMWM) for generative simulations that mirror the real world.
We’re building the core infrastructure for robotics development, enabling faster iteration, safer deployment, and scalable AI integration across industries.
Learn MoreAuraSIM works with Robotics AI Companies, Indian Government Agencies &Enterprises
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.
From Simulation to Super Intelligence
AuraSIM’s MMWM stack is thefoundation of synthetic intelligence for robotics,bridging perception, prediction, adaptation, and cognition in a single generative framework. Whether you're building humanoids, drones, warehouse bots, or field robotics, AuraSIM empowers your agents totrain faster, generalize smarter, and evolve toward real-world autonomy,safely and at scale.
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.
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.
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.
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.
Case Studies & Resources
Trusted by the world’s top AI teams, AuraSIM delivers the accurate generative physics simulation and synthetic data at unmatched scale and speed .powering breakthroughs in robotics, autonomy, and intelligent systems.
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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.
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