Asset optimization
Connect operational data from SCADA, sensors, on-board systems, control systems and service logs into one governed foundation, enabling predictive maintenance, faster diagnosis and fleet-wide optimization.
How it works
From siloed systems to one governed operational foundation
We build a governed data platform on your existing infrastructure, whether that is cloud, on-premise or a hybrid of both, with cybersecurity built in at every step and aligned with NIS2, IEC 62443 and relevant sector requirements.
Depending on your scale and existing infrastructure, we build the right data foundation from a structured lakehouse handling millions of operational events across a large asset fleet, to a leaner platform for a focused use case. Connecting SCADA, OT systems, asset management and operational data sources without touching your source systems, every operational event is structured and aligned in one place where asset, alarm, maintenance and fleet data work together.
From there, predictive maintenance models, compliance workflows and operational dashboards run on the same trusted data foundation. Start with one use case and scale as your needs grow.
Scenarios
Three ways organizations realize value
Higher first-time-fix rate on every dispatch
Having operations teams unify SCADA data, alarms and service records into one context gives AI-supported diagnostics a complete view of each asset, surfacing faults earlier and with greater precision than manual monitoring allows. That allows technicians to arrive with the right tools, parts and similar past cases, leading to a 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. This lets three departments read the same record and late deliveries surface as alerts instead of phone calls.
Fleet-wide engine and tank optimization
Having engineering teams stream IoT and engine telemetry alongside on-board asset records gives a continuous view of which tanks are due for upgrade and which engines are running outside their efficient range across the entire fleet. This enables engineering to plan interventions as a ranked queue across the whole portfolio, rather than managing one vessel at a time.
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Proven in production
From raw wind turbine data turns into real-time insight in minutes. Antire's off-the-shelf Asset Insights Portal speeds up data transmission from wind turbines to the cloud while harmonizing all data streams. This has reduced data latency from hours to minutes and provides Ingka Renewable Energy Investments with real-time insight into valuable asset data.
A software solution that harmonizes the way data from multibrand wind turbines all over the world is collected and controlled. The solution is making it easy and flexible for operations and maintenance to react in real-time and predict each single wind turbine’s service and maintenance needs
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.
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.