Neuroplastic AI for Adaptive Control.

 

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We’re building the Control Layer for Physical AI. Find out how we can help.

Physical AI for your control application

We’re partnering with some of the most advanced industrial companies in the world to bring intelligent systems and products to market, all within the existing hardware footprint. Examples of where our AI controllers are replacing or complementing control loops include robotics, drones, industrial drives and automotive applications.

If you’d like to join us, please get in contact.

Robotics & Humanoids

Real-time adaptation to system dynamics for position control.

No calibration phase. Adapts to varying loads and contact forces on the fly. Deploy across different robot configurations without retuning.

Drives & Motors

Inner and outer loop control.

Reduce downtime and reach deployment faster with self-commissioning drives, increase motor compatability and remove the need for ongoing tuning.

Furnace Optimization

Real-time furnace optimization for complex thermal environments.

Handle material variation, eliminate overshoot and reduce energy.

Thermal

Adaptive control for industrial heating and cooling.

Handle load variations, ambient changes, and equipment wear. Optimize for energy efficiency, overshoot or process consistency.

Drone & Flight

Multi-motor coordination and stability.

Adapt to wind disturbances, payload changes, and rotor failure in real-time. Optimize for flight time or agility.

All with exisiting on-board compute. No ground calibration required.

Automotive

Real-time control for electric powertrains.

Adapt to driving conditions, battery states, and thermal loads. Optimize motor efficiency, traction control, and cabin comfort without lookup tables or extensive calibration, all within existing hardware.

Breakthrough Neuroplastic AI

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Synapses

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Compute Required

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Sample Efficient

*per inference compared to Google DeepMind DeepRL benchmark.

Changing a century of control theory.

As workload complexity and variety increases, existing control methods begin to degrade. Neuroplastic AI heralds a new era for control systems that adapt in real time to changing conditions.

1910 -1930

Graph showing Proportional Integral Derivative (PID) degredadation with variable loads

Proportional-Integral-Derivative Control

1970’s

Graph showing Model Predicitive Control (MPC) degredation with variable loads

Model Predictive Control

Today

Graph showing Luffy AI's Adaptive Neural Controller superiority handling variable loads

Adaptive AI Control

Discover more about our technology and approach

“Luffy AI is the most credible team on the market.”

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