The Intelligent Control Layer For Industry
Model-free adaptive control that combines aerospace-grade precision with AI adaptability.
Industrial systems operate in constantly changing conditions.
Loads fluctuate. Equipment ages. Operating environments shift.
Yet most industrial processes are still controlled by static controllers designed decades ago.
Saliqo introduces a new category of industrial control:
Model-Free Adaptive Control That Continuously Adjusts To Real Operating Conditions.
Advanced control – made accessible to the 95% of industrial systems that are not using it today.
Aerospace precision. AI adaptability.
Saliqo uses a hybrid architecture called Robust Adaptive Inverse Dynamics (RAID). The controller combines deterministic control theory with machine learning.
Deterministic control core
Inverse dynamics control – often used in aerospace and robotics – provides predictable, stable system behaviour.
Machine learning adaption layer
AI continuously adjusts internal parameters as the system evolves.
- Stable control behaviour
- Continuous adaptation
- Robustness to changing conditions
AI augments engineering knowledge instead of replacing it.
Designed For Industrial Environments
Industrial control systems demand reliability, determinism, and security.
- PLCs
- Industrial microcontrollers
- Embedded control hardware
- No cloud infrastructure.
- No GPUs.
- No changes to existing automation architecture.
- The system integrates directly within existing control loops as a lightweight intelligence layer.
From one loop to millions
Saliqo changes that.
By removing modelling and tuning requirements, advanced adaptive control becomes deployable across entire facilities – and across global industrial infrastructure.
Comparison Table
Feature
Manual tuning
Models required
Handles variability
Edge deployment
Commissioning time
PID
High
No
Poor
Yes
Weeks
MPC
Very high
Yes
Moderate
Rarely
Months
Saliqo
None
No
Native
Yes
Hours