Neuroplastic AI: the transformer moment for the physical world.

Neuroplastic Neural Networks: incredibly small, elegant and fast.

We've built something different. Our Adaptive Neural Controllers learn the physics of a system from first principles and adapt autonomously in real time. No retuning, no cloud, no compromise on speed. They run on the constrained hardware that's already out there in millions of devices, at timescales that make conventional Deep Learning approaches look Big & Slow.

A diagram showing the density of a traditional Deep Learning Model

Traditional Deep Learning: Big & Slow

Dense traditional deep learning techniques conform to rigid networks, unable to adapt and requiring huge computation.

  • Built using rigid architectures

  • Data wrangling & filtration

  • Requires massive sets of operational data

A diagram showing the sparse lightweight Luffy AI neuroplastic neural network

Neuroplastic Neural Network: Small & Fast

Sparse, lightweight neural networks perfectly formed to fit in even the most constrained environments.

  • Grown not built, using algorithms that mimic nature

  • Neuroplastic synapses that allow adaptation.

  • Trained on physics models.

The 4 steps to create an Adaptive Neural Controller

  1. Twinned from physics

  2. Domain Randomization applied

  3. Test in Simulation

  4. Ready to deploy in any hardware

The Highest Intelligence-per-byte AI

We’ve benchmarked Luffy AI’s ANCs against the Google DeepMind Real World RL Suite.

The result is 800 x fewer synapses, 400 x less compute required for the equivalent or better performance in tasks.

This cartpole test simulates a real-world physical example using Luffy AI’s ANC. Read more here.

Comparable Performance

Capability per kFLOP

“An empirical investigation of the challenges of real-world reinforcement learning”, G. Dulac-Arnold et al., 2020, arXiv:2003.11881

Fits Anywhere.

Nano AI

Microcontrollers, Embedded Boards, Variable Frequency Drives, Firmware etc

>100Hz

<1kB.

Next-gen intelligent devices

Micro AI

PLC, DCS, SCADA, EDGE

10-100Hz

1- 25kB.

Application-based optimisation

Mini AI

SCADA, Supervisory, Modellers

<10Hz

1- 25kB.

Advisory and modelling

The only AI solution working at the intersection of Control and Industry.

Feature PID MPC Cloud AI Luffy ANC
Handles non-linear
Adapts to changes ~
Runs on edge ~
Easy to deploy
  • Only solution that adapts in real-time
  • Runs on your existing hardware
  • Handles non-linear systems
  • Deploys in days, not months

Learn more about our approach