Vesta
Software-defined instruments for pipeline measurements you cannot easily capture in the field.
Insight without Instrumentation
Vesta helps pipeline operators infer unmeasured parameters across complex networks without installing new physical instrumentation.
Using SCADA data, physics-based models and AI where appropriate, Vesta provides reliable virtual measurements that support operational visibility, engineering analysis and better-informed decisions.
How Vesta Works:
In pipeline operations, not every important measurement is available from a physical sensor.
Some locations are difficult to instrument. Some parameters are too costly to measure directly. Some sensors fail, drift or provide incomplete coverage.
Vesta fills these gaps with software-defined instruments. Each virtual sensor is configured to infer a specific operational parameter using trusted data sources, engineering logic and model validation.
The result is a clearer view of network behaviour without adding hardware in the field.
Vesta uses existing operational data to infer measurements that are missing, difficult or too costly to capture directly.
It can work with data from SCADA systems, historians, asset records and other trusted operational sources. Where deterministic engineering logic is sufficient, Vesta applies it first. AI is used where it adds value and can be validated responsibly.
This keeps the focus on practical measurement, not unnecessary complexity.
Complex networks often contain measurement gaps.
A physical sensor may be impractical at a remote location. It may be too costly to install and maintain. In other cases, the data may exist indirectly across several systems, but not as a usable measurement.
Vesta is designed for these situations. It creates virtual sensors that can be configured around the realities of your network, your data and your operational constraints.
Vesta is built around a hybrid modelling approach.
Where possible, it uses deterministic engineering logic and physics-based models to infer missing measurements. AI can then be applied where it improves performance, handles complexity or supports more robust estimation.
This approach helps operators extend measurement coverage while keeping the method explainable and grounded in engineering reality.
A virtual sensor is only useful if teams can trust the output.
Vesta is designed to make inferred measurements usable in operational and engineering workflows. Outputs can support monitoring, analysis, modelling and decision support across the wider Klarian Digital Suite.
When used with Juno, Vesta can provide additional data visibility for system-level intelligence and operational context.
Juno Perform screenshot | map view.