Industrial Control & Cybernetics

Advanced process control,
made deployable.

Arta Kyb turns your historian and live OPC data into closed-loop predictive control, digital twins and real-time optimisation — running beside your control system, and reversible at every step.

Stavanger, NorwayOPC-UA / OPC-DAMPC & digital twins
Closed-loop controlObjectives
Error
minimise
Energy
minimise
Throughput
maximise
What we do

Control that sees the whole plant — and acts on it.

Most plants run hundreds of PID loops that each hold one variable but stay blind to interactions, constraints and economics. We add the layer that closes that gap.

01

Predict & supervise

Model-predictive and adaptive control sit on top of the regulatory layer, anticipating interactions instead of reacting to them.

02

Optimise economics

A real-time optimisation layer continuously retargets controllers against cost, yield, energy and emissions.

03

See the unseen

Digital twins estimate asset health and margins that are rarely instrumented — so you act before limits are reached.

The approach

Deployed with confidence, reversible by design.

We sit beside your control system — never inside it. Every stage is bounded, validated in a test environment identical to production, and reversible in one step.

01

Connect

Stream live & historical data, read-only. No write access until you decide.

02

Shadow

Identify models and run controllers in advisory mode while operators stay in control.

03

Close the loop

Enable write-back on a bounded set of variables, supervising the existing PID layer.

04

Optimise

Turn on economic optimisation against cost, yield, energy and emissions.

r setpoint Σ + e Controller MPC · PID u d disturbance Process plant dynamics y output Sensor
Closed-loop control — the controller supervises the regulatory layer
Capabilities

From connectivity to autonomous agents.

C
Predictive & adaptive control
MPC, adaptive PID, extremum seeking and fuzzy logic.
T
Digital twins
Synchronised replicas that estimate health and margins live.
O
Real-time optimisation
Drive to the economic optimum and hold it on the constraint.
A
Hybrid AI & agents
Physics fused with learning; agents that act with operator approval.
View all capabilities

Let’s run a proof of value.

One well-instrumented unit, a read-only pilot, and a quantified benefit estimate — with a reusable playbook for what comes next.

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