Asset intelligence

Connect operational data from SCADA, sensors, on-board systems, control systems and service logs into one governed foundation to predict failures, lifts first-time-fix, and optimize assets and fleets.

 

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What organizations see

-50%

Mean time to repair

Faster diagnosis and structured incident handling cut the time form fault to fix.

+30%

First-time-fix rate

Pre-dispatched diagnostics send technicians out with the right parts and a clear diagnosis.

-25%

Operational expenditure

Fewer repeat site visits, less technician travel, and leaner day-to-day operations.

Six outcomes that customers see

Connect your data into one governed foundation for operations, engineering, procurement, and finance. Gain predictive insight, fleet-wide visibility, and compliance and AI-readiness by design.

One source of truth

Operations, engineering, procurement and finance read from the same governed data product across asset, vessel, shore and crew.

Secure operational data exchange

Reliable, governed data flow from SCADA, sensors, control systems, on-board systems and asset platforms with cybersecurity by design.

Predictive maintenance & early failure detection

Identify emerging issues on turbines, vessels, engines, and equipment before they fail.

Faster diagnosis & higher first-time-fix

Remote diagnostics, alarm enrichment, root cause analysis and pre-dispatch readiness.

Fleet-level visibility & optimization

Engineering plans interventions across the fleet, not one asset at a time, with ranked, data-driven priorities.

Compliance-ready foundation

NIS2, IEC 62443, GDPR and AI Act alignment patterns built into the architecture, with audit-ready lineage and access control.

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How it works

From siloed systems to one governed operational foundation

We build the foundation on your strategic cloud. Lakehouse, data models, governance policy framework, and OT/IT integration with cybersecurity built in. Data is ingested so every operational event reconciles across systems, while source systems stay untouched.

Scale and add applications on top as it fits your business, whether compliance, predictive maintenance, or operational excellence is the main focus. One solid foundation to build upon and apply.

 

Scenarios

Three ways organizations realize value

Higher first-time-fix on every dispatch
Operations teams unify SCADA data, alarms, historical incidents and service records into one context, with AI-supported diagnostics analysing faults before crews leave the door. Technicians arrive with the right tools, parts and similar past cases, leading to higher first-time-fix rate and less downtime.

End-to-end spare-parts traceability
On-board asset management, finance, transport and vessel events come together in one lakehouse, turning the full part-cycle into a single shared timeline. Three departments read the same record and late deliveries surface as alerts instead of phone calls.

Fleet-wide engine and tank optimization
IoT and engine telemetry stream in alongside on-board asset records, with model selection surfacing tanks due for upgrade and engines running outside their efficient envelope. Engineering plans interventions across the fleet as a ranked queue, not one vessel at a time.

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We chose Antire as our supplier and trusted advisor and adopted their Asset Insight Portal proven for enterprise-level operations, yet scaled to suit our needs.
- Masoud Asgerpour, Portfolio Technology Manager, Ingka Renewable Energy Investments
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Why now

Operators who close the gap in two years will run materially leaner

Asset portfolios are growing in scale and geographic spread — more turbines, more vessels, more sites — while OPEX pressure and uptime targets keep rising. Regulation such as NIS2, IEC 62443, GDPR and the AI Act is tightening on cybersecurity and data governance at the same time.

AI, edge compute and modern lakehouse platforms have matured to the point where industry-specific logic can live in the data layer rather than being baked into legacy systems. Without a trusted, governed foundation, predictive maintenance, digital twins and fleet-level optimisation all stall at proof-of-value.

 

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Proof of Value sprint

Validate AI-driven operations in 4–8 weeks

Bring a focused use case such as predictive maintenance on a critical component, alarm reduction in a control room, or pre-dispatch diagnostics for a service team. We integrate selected systems, structure your operational data, layer in AI-supported insights, and exit with a clear path to rollout.

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Explore the potential for asset intelligence in your organization.

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