Neuroplastic AI for Adaptive Control.

Black and white circle with the text '21μs (microseconds) INFERENCE' inside a white circle on a black background.

Design showing a footprint icon with the text '~10KB (kilobyte) FOOTPRINT' inside a white circle with a black background.

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

Physical AI for your control application

We’re partering with some of the most adavanced industrial companies in the world to bring intellgient systems and devices to market, all within the existing hardware footprint. Examples of where we’re replacing or complementing control loops include robotics, drones, industrial drives and automotive applications.

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

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.

Illustration of a humanoid robot standing next to a robotic arm with a gripper, all in shades of orange and red.

Drives & Motors

Inner and outer loop control.

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

A digital illustration of an electric motor connected to an industrial drive, depicted in red tones.

Furnace Optimization

Real-time furnace optimization for complex thermal enviornments.

Handle material variation, eliminate overshoot and reduce energy.

Illustration of an industrial machine or furnace with pipes and flames melting material, set against a red diamond background.

Thermal

Adaptive control for industrial heating and cooling.

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

A stylized illustration of a boiler and a thermal system, with a red background and a white border, showing the boiler emitting steam and the thermostat displaying 72 degree temperature.

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.

Illustration of a drone with a camera, in front of an airplane mid-flight, on a red background.

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.

Illustration of an electric car and an automotive controller with a red diamond background.

Breakthrough Neuroplastic AI

Synapses

Graphic indicating a 400x reduction in compute requirements, with the text '400x less*' in bold black and red font on a white circle background.

Compute Required

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. Neuroplasic AI heralds a new era for control systems that adapt in real time to changing conditions.