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“At Nexilo, we believe every business deserves the power of AI—whether you're just starting or scaling fast. My team and I are here to support your vision and help you move forward with confidence.”
Challenge
- PCI DSS certification and FCA approval, ensuring full regulatory compliance
- Ultra-low latency transactions under 250 milliseconds, delivering a seamless user experience.
- Successful integration of multiple third-party APIs, including GPS, Xero, and CashFlows
Turbine intelligence was scattered across legacy systems, leaving engineers without a coherent picture of asset health. In offshore environments, where a single turbine contains thousands of interdependent components, conventional software offered little more than surface‑level visibility.
The Innovate UK and Eurostar’s program transformed this project into an R&D initiative. It required methodological depth, scientific discipline, and an architecture capable of supporting advanced analytics, anomaly detection, and future AI research.
A cloud‑native, API‑first engineering platform became essential. It needed to consolidate instrumentation data, reveal hidden signals, and deliver operational clarity while standing up to academic scrutiny and real‑world field demands.
Client Review
- PCI DSS certification and FCA approval, ensuring full regulatory compliance
- Ultra-low latency transactions under 250 milliseconds, delivering a seamless user experience.
- Successful integration of multiple third-party APIs, including GPS, Xero, and CashFlows
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Key Objectives
- Establish a single operational system for global turbine management
- Enable hierarchical navigation from fleet level to individual components
- Consolidate health indicators, alerts, and predictive signals in one interface
- Automate engineering task planning using real‑time system inputs
- Deliver low‑latency performance across remote and distributed networks
- Provide a scalable architecture capable of supporting future R&D outcomes
- Reduce unplanned downtime and elevate operational efficiency
Solution
- A digital engineering platform was designed with research‑grade precision and enterprise‑level scalability.
- A cloud‑native architecture delivered unified visibility across fleets, sites, towers, and components. A structured asset hierarchy allowed engineers to move seamlessly from global dashboards to granular component data.
- An API‑first integration layer consolidated data from IoT devices, field systems, and monitoring equipment. Real‑time data pipelines ensured that critical metrics flowed without delay, supporting fast decision cycles.
- The interface translated complex operational signals into clear, actionable insights. Visualizations highlighted risk levels, trend shifts, and maintenance priorities with academic clarity and minimal cognitive load.
- Automated scheduling workflows assigned tasks based on system‑detected conditions or predicted service windows. Compliance‑ready logs captured every action for traceability and regulatory alignment.
- A CI/CD pipeline ensured continuous enhancement, supporting iterative research outcomes from the Innovate UK + Eurostar’s program. The platform was engineered to evolve alongside new findings, algorithms, and instrumentation introduced during the program lifecycle.
Results
- PCI DSS certification and FCA approval, ensuring full regulatory compliance
- Ultra-low latency transactions under 250 milliseconds, delivering a seamless user experience.
- Successful integration of multiple third-party APIs, including GPS, Xero, and CashFlows
- A single source of truth established for turbine and asset intelligence
- Complete visibility achieved across global sites, fleets, and components
- Faster fault identification enabled significant reductions in downtime
- Automated scheduling improved workforce efficiency and predictability
- Cloud-native architecture delivered frictionless scaling to new fleets and regions
- Data-driven decision making embedded into routine operations
- The platform provided a high-credibility foundation for ongoing R&D and AI innovation
