Computed efficiency metrics
Generates real-time performance calculations across pumps, stations, and pipelines, grounded in the context provided by Juno’s knowledge graph, ensuring every efficiency score reflects real operational conditions.
An intelligent data analytics platform for greener, leaner, and more profitable pipeline operations.
Klarian’s Juno transforms raw operational data into real-time decisions
Built using Klarian’s Ontology framework, Juno maps every data point across your network into a knowledge graph, revealing how assets, sensors and systems influence one another.
That means decisions aren’t made in isolation. Juno adds critical context, understanding cause and consequence, so teams can prioritise what matters most. If two alarms trigger at once, Juno's knowledge graph helps identify which failure poses the greatest operational or environmental risk, guiding engineers to act where it counts. By turning complex system data into explainable, context-rich insight, Juno enables faster, more confident decisions that keep flow optimised, downtime reduced and resources focused where they deliver the most value.
Juno gives you total operational oversight
That means decisions aren’t made in isolation. Juno adds critical context, understanding cause and consequence, so teams can prioritise what matters most.
If two alarms trigger at once, Juno's knowledge graph helps identify which failure poses the greatest operational or environmental risk, guiding engineers to act where it counts.
By turning complex system data into explainable, context-rich insight, Juno enables faster, more confident decisions that keep flow optimised, downtime reduced and resources focused where they deliver the most value.
Not just a pipe dream
Pipelines fuel our world. As demand grows and infrastructure ages, the need for sustainable and efficient pipeline operations increases. Klarian has developed Juno, our end-to-end data analytics service, to collect pipeline data and transform it into actionable intelligence.
Insight that drives action
Juno delivers the intelligence to measure, predict and plan without long IT lead times.
Virtual sensor insights
Fills data gaps instantly without new hardware, using context-aware models that understand how changes in one part of the system affect the rest.
Predictive risk modelling
Highlights failure risks and maintenance priorities, informed by asset relationships and network dependencies identified through the knowledge graph.
Scenario simulation
Tests the impact of operational choices, from pump scheduling to throughput adjustments, within a model that mirrors your actual system interconnections.
AI-powered diagnostics
Explains past events and predicts future risks through context-driven reasoning, linking symptoms to root causes and consequences across the network.
How Juno works
Using existing sources, Juno connects operational data into a shared system model, accounting for infrastrucutre context and applies analystics to surface trends, benchmarks, anomalies and decision priorities.
All of this is visualised through interactive dashboards, so your teams can explore data, track performance trends and make smarter, faster decisions
Key benefits of Juno
Boost throughout by optimising pump and system performance in context
Cut energy use and emissions through precise efficiency modelling
Minimise downtime with predictive, ontology-informed maintenance alerts
Benchmark performance across assets and eliminate costly inefficiencies
Strengthen collaboration with shared, explainable insights grounded in real-world data relationships
Minimise downtime with predictive, context-informed maintenance alerts
What makes Juno different
Unlike narrow analytics tools or basic SCADA dashboards, Juno is built for infrastructure operations. It combines engineering understanding with live analytics so teams can monitor performance, detect drift and target action with confidence.
Physics-informed models
Rooted in real system dynamics, not statistical guesswork
AI-augmented decision support
Guiding planning and operations with explainable, context-driven insight
Virtual Sensors
Our Virtual Sensors infer critical measurements and reveal unseen system behaviour without additional hardware
Modular design
Built to scale across oil, gas and water networks
Juno modules and
integration
Juno is modular and configurable, used on single pumps, full multi-product pipelines or large-scale oil, gas and water networks. It integrates seamlessly with Klarian’s Orkus platform for geohazard management, providing a complete view of both operational and physical pipeline risks.
Technical information
Operational
Pump and system efficiency benchmarking
Juno models pump and system performance based on original equipment manufacturer (OEM) specifications and compares it in real time to live SCADA and sensor data. This enables precise benchmarking at both the asset and system level, helping operators identify inefficiencies, mechanical degradation or flow inconsistencies with confidence.
Virtual Sensors for early anomaly detection
Using advanced signal processing and AI, Juno creates "virtual sensors" that infer key system behaviours from existing data. These virtual readings can detect issues like valve sticking, pump cavitation or flow irregularities that might otherwise go unnoticed,without additional hardware installation.
Downtime root cause analysis
Juno automatically identifies unplanned shutdown events and classifies them using historical performance data and pattern recognition algorithms. Operators receive detailed insights into the most likely causes, whether it's asset fatigue, product mismatch, or environmental factors, enabling faster recovery and smarter prevention strategies.
Scenario planning for throughput, cost and maintenance
Juno's simulation tools allow users to test different operational strategies before applying them. Planners can compare routes, pump configurations or shift timings to optimise for specific KPIs like energy cost per unit volume, system throughput or asset degradation over time.
SCADA enrichment and data exploration tools
Juno enhances raw SCADA data by resampling, labelling and layering it with computed metrics such as asset health scores, efficiency drift and anomaly flags. Users can explore the enriched dataset through a flexible dashboard interface, making it easy to build visualisations and run diagnostics across time ranges or asset groups.