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Juno

Operational intelligence for pipeline networks

image of the sea in black and white with pipeline imagery above in red, blue, green, orange, yellow and purple.

Juno connects fragmented operational and engineering data into a shared model of the system, so pipeline teams can understand performance, reliability and downtime risk with context.

It supports faster, more consistent and more defensible decisions across operations, integrity, reliability and maintenance teams.

From disconnected data to system-level decisions

Pipeline operators already hold large volumes of useful data.

The challenge is that this data is often spread across Supervisory Control and Data Acquisition (SCADA) systems, historians, maintenance systems, engineering references, spreadsheets and local expertise.

Juno connects these sources into a shared system model. It helps teams understand how assets, operating states, constraints and events relate to each other, so decisions are based on system context rather than isolated signals.

System-level oversight for day-to-day operational decisions

Juno helps teams move from signal to action with a clearer chain of reasoning.

It supports decisions on:

  • efficiency and energy performance
  • throughput constraints
  • downtime risk
  • asset health
  • maintenance and reliability priorities
  • cross-network operational trade-offs

The aim is not to replace engineering judgement or operational control systems. It is to give teams better context, clearer prioritisation and a more traceable decision path.

How Juno works

Juno brings together data from existing systems and sources, including SCADA, historians, asset registers, maintenance records and engineering context.

Juno relates operational signals to assets, locations, operating states, constraints and dependencies. This creates a common view of how the network behaves.

Teams can move from detection to triage, diagnosis, prioritisation, action and review using a more consistent process.

Juno’s ontology-driven knowledge graph foundation gives AI a structured view of the system. This makes outputs more grounded, explainable and governable in operational environments.

Designed to work with your existing operational environment

Juno is not a replacement for SCADA, operational technology, engineering judgement or safety processes.

It acts as a decision support layer above existing systems, connecting operational and engineering context so teams can see the wider consequences of local events.

You can start with the data and workflows that matter most, then extend the model as the programme matures.

Make better operational decisions every day

When performance shifts or downtime risk increases, Juno helps teams understand what is driving the change, what to investigate first, and what evidence supports the decision.