Solutions · NuMetrik Platform
Certainty helps mineral processing operations turn conflicting measurement streams into one trusted value for control, compliance, and reporting.
Plants often rely on density meters, flow meters, samplers, and lab analysers that do not always agree. Certainty applies sensor fusion and process data reconciliation to produce a single reconciled value with a defined confidence interval.
One Number You Can Trust
In mineral processing, important decisions are often made using incomplete, delayed, or inconsistent data. Operators may have several sources for the same variable, but no clear basis for deciding which one to trust.
Certainty brings those inputs together into one physically consistent operational picture. Instead of forcing teams to choose between conflicting readings, it provides a reconciled value that is more usable for day-to-day decisions and more defensible for formal reporting.
Partner details will be announced when the agreement is finalised.
Where Certainty Matters
Continuously reconcile flows entering and leaving circuit nodes to identify losses, unaccounted-for material, and measurement inconsistencies in real time.
Control systems need one trusted setpoint. Reconciled data reduces uncertainty and removes the "which sensor is right?" problem from operator decisions.
Water consumption, energy intensity, emissions, and tailings reporting increasingly require continuous, auditable measurement data rather than extrapolated grab samples.
High-confidence reconciled data provides a stronger foundation for calibrating and validating process digital twins so model outputs better reflect physical reality.
How It Works
Certainty combines available measurement streams such as online sensors, inferred variables, lab data, and operating context. It then applies reconciliation methods to generate a value that is not only statistically stronger, but also consistent with the physical behaviour of the process.
The result is a clearer operating picture for engineers, operators, and management. The same reconciled value can support process optimisation, operational decisions, and external reporting without relying on disconnected numbers from separate systems.
Why It Matters
When measurements disagree, performance suffers in ways that are not always obvious. Process control becomes less stable, troubleshooting takes longer, and reporting becomes harder to defend.
By improving confidence in the underlying data, Certainty helps teams move faster and make better decisions. It supports a more reliable basis for control, more credible reporting, and a more useful foundation for advanced analytics.
Whether the goal is tighter control, stronger reporting, or a better-calibrated digital model, Certainty helps turn fragmented measurements into a trusted operational view.