IFS, a global leader in Industrial AI software, has announced that Dixstone has selected IFS Cloud to modernize and unify its operations across ten countries and a workforce of more than 2,200 professionals. The decision marks a major milestone in Dixstone’s digital transformation journey, reinforcing its commitment to operational excellence, safety leadership, and long-term sustainability across the offshore oil and gas value chain.

As offshore energy services become increasingly complex, organizations like Dixstone require digital platforms that can scale globally, integrate deeply across projects and assets, and provide real-time intelligence. By adopting IFS Cloud, Dixstone positions itself to leverage Industrial AI to manage high-risk, asset-intensive operations while supporting innovation in areas such as carbon capture, offshore construction, and decommissioning.

This move demonstrates how Industrial AI and unified enterprise platforms are becoming strategic enablers—not just operational tools—for energy and infrastructure-focused organizations navigating transformation at scale.

Dixstone’s Role in the Offshore Energy Ecosystem

Dixstone was created to consolidate Perenco’s offshore services capabilities into a single, integrated organization capable of delivering end-to-end offshore solutions.

A Broad Offshore Services Portfolio

Dixstone provides fully integrated services across:

• Offshore construction and installation

• Drilling and oilfield services

• Workover operations

• Marine services

• Offshore decommissioning

This breadth positions Dixstone as a critical partner across the offshore energy lifecycle, from exploration and production to end-of-life asset management.

Driving Innovation in Offshore Energy

Dixstone is already recognized for breakthrough initiatives, including:

• The United Kingdom’s first CO2 injection test for Carbon Capture and Storage (CCS)

• The Obana decommissioning platform, the world’s largest self-elevating heavy-lift jack-up vessel of its type

These projects highlight the company’s need for a digital backbone capable of supporting innovation, compliance, and safety at an unprecedented scale.

Why Dixstone Chose IFS Cloud

As Dixstone continues to scale operations across geographies and offshore environments, legacy systems were no longer sufficient to support its ambitions.

Key Drivers Behind the Decision

The selection of IFS Cloud was driven by:

• Deep industry-specific functionality for energy and asset-intensive operations

• Modular architecture supporting rapid scaling and adaptation

• Unified platform capabilities across projects, assets, and finance

• Built-in Industrial AI to enhance decision-making and predictability

These attributes align with Dixstone’s need to manage complex, multi-site operations without introducing fragmentation or operational silos.

Unifying Global Operations Across Ten Countries

Operating across multiple countries introduces significant complexity in governance, compliance, financial oversight, and execution.

A Single Source of Operational Truth

With IFS Cloud, Dixstone can:

• Standardize processes across regions and business units

• Maintain consistent operational visibility across global projects

• Improve collaboration between onshore and offshore teams

This unification is particularly critical in offshore energy, where delays, budget overruns, or safety incidents can have substantial operational and environmental consequences.

Strengthening Project Financial Control and Governance

One of the most significant benefits Dixstone will gain from IFS Cloud is enhanced project financial control across its diverse offshore portfolio.

Real-Time Project Oversight

IFS Cloud enables:

• Live tracking of project budgets and costs

• Real-time monitoring of timelines and milestones

• Accurate forecasting and resource allocation

This level of transparency allows Dixstone to ensure that complex offshore projects are delivered:

• On schedule

• Within budget

• In alignment with stringent safety and quality standards

For large-scale offshore conversions, marine operations, and decommissioning programs, such control is essential to minimizing risk and maximizing margin.

Enabling Predictive Asset Operations and Maintenance

In asset-heavy industries, maintenance efficiency directly impacts safety, uptime, and profitability.

Managing a Global Fleet With Confidence

Dixstone operates a global fleet of:

• Offshore rigs

• Specialized marine vessels

• Platforms and heavy-lift assets

IFS Cloud provides a unified framework to manage these assets across their full lifecycle.

Leveraging Predictive Maintenance With Industrial AI

Using centralized asset data and AI-driven insights, Dixstone can:

• Predict equipment failures before they occur

• Schedule maintenance proactively

• Extend asset lifespan

• Reduce unplanned downtime

This proactive approach enhances operational reliability while supporting safety-first offshore operations.

Supporting Safety and Sustainability Objectives

Safety and sustainability are not optional in offshore energy—they are foundational requirements.

Enhancing Safety Through Visibility and Intelligence

IFS Cloud supports safety goals by:

• Providing real-time operational insights

• Reducing reliance on manual processes

• Improving compliance monitoring across projects and assets

By minimizing blind spots, Dixstone can better protect its workforce and offshore environments.

Advancing Sustainable Offshore Operations

Digital integration across the E&P value chain enables Dixstone to:

• Reduce environmental impact across offshore projects

• Optimize resource usage

• Support low-carbon initiatives such as CCS and decommissioning

This aligns technology investment directly with sustainability outcomes.

Executive Perspectives on the IFS Cloud Partnership

Leadership from both organizations emphasized the strategic importance of the deployment.

Dixstone’s View

Jean-Christophe Le Gal, General Manager at Dixstone, highlighted the platform’s role beyond IT modernization:

• IFS Cloud delivers agility across global operations

• The platform supports sustainability alongside growth

• It acts as a long-term strategic enabler

This signals a shift from technology as infrastructure to technology as a driver of competitive advantage.

IFS’ Perspective

Simon Niesler, Chief Revenue Officer at IFS, emphasized how Dixstone’s decision reflects broader industry priorities:

• Unified project control is essential for complex global operations

• Integrated asset management drives safety and efficiency

• Predictive maintenance sets new standards for operational excellence

The partnership showcases how Industrial AI can be operationalized at scale within the offshore energy sector.

Aligning Digital Transformation With Long-Term Strategy

The IFS Cloud implementation supports Dixstone’s long-term strategic objectives.

End-to-End Value Chain Integration

By integrating processes across the exploration and production value chain—from early-stage operations through decommissioning—Dixstone can:

• Deliver modular, fit-for-purpose offshore solutions

• Reduce operational and environmental risk

• Create sustained value for global customers

This approach ensures digital transformation is directly tied to business outcomes rather than isolated system upgrades.

Conclusion: Industrial AI as a Foundation for Offshore Excellence

Dixstone’s selection of IFS Cloud reflects a clear understanding that modern offshore operations demand more than disconnected systems and manual oversight. By adopting an Industrial AI-powered, unified cloud platform, Dixstone is building a digital foundation capable of supporting safety-critical, asset-intensive operations at global scale.

From real-time project financial control to predictive asset maintenance and sustainability-driven innovation, IFS Cloud becomes a central enabler in Dixstone’s journey toward operational excellence. As the offshore energy sector evolves—balancing growth, decarbonization, and safety—this partnership demonstrates how Industrial AI and enterprise platforms are redefining what best-in-class operations look like.

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