New generation, old controls
A plant, machine, or aircraft evolved materially, but the control structure and tuning logic were largely carried over.
Remote Diagnostic Package
A fixed-scope, senior-level diagnostic — and a feasibility assessment for MPC, APC, soft sensors or optimization — for teams that built a new generation of machine, plant, or flight system and now suspect that inherited control logic no longer fits reality.
Book a 30-min technical fit callEUR 4,500 fixed · 5 working days · fully remote
A small first commitment
Designed for hard technical situations that still need a fast first decision
This package is for teams that already know something is off, but do not yet know whether the real issue is architecture, modelling, estimation, instrumentation, or implementation quality.
The work is remote, fixed-scope, and deliberately narrow. The point is to diagnose what matters, strip away noise, and make the next technical move explicit without forcing a large project before the root cause is understood.
What this package is
The purpose is not to deliver a generic report. The purpose is to reduce ambiguity fast and give your team a technically credible next decision.
Duration 5 working days
Commercial model Fixed scope, fixed fee
Output Executive summary, technical findings, live review call
Availability Available now — fit call within a week, start within about two weeks
What you can expect
Best fit when
You inherited controls from a previous generation, a scale-up changed the dynamics, the estimator is drifting, or the team keeps tuning symptoms without confidence in the root cause.
What I review
Control architecture, models, soft sensors, state estimation, instrumentation assumptions, optimisation setup, failure modes, and interfaces between controls and the rest of the stack.
What you receive
A short executive summary for decision-makers, a detailed technical report for engineers, and a review call. As a feasibility assessment it answers: is MPC or APC suitable here, what are the implementation risks, and what roadmap and effort would the full project need.
Typical outcome
A clearer path: keep the current approach and tighten execution, redesign a subsystem, improve data and estimation first, or move into a retained advisory phase.
Typical starting situations
Indirect measurements are weak
The team relies on inferred variables, lab delays, or poorly trusted soft sensors, so control quality is capped by observability.
Optimisation exists but does not help enough
There is already MPC, scheduling, forecasting, or optimisation work in place, but the stack does not yet produce robust operational gains.
Want to test whether the diagnostic is the right entry point?
Bring the current situation, the type of system involved, and the main symptoms. We can usually decide fit on a short call.
Book a 30-min technical fit call →