As artificial intelligence, digital transformation, and electrification fuel unprecedented demand for electricity across North America, organizations are encountering increasing obstacles. Lengthy interconnection backlogs, limited transmission capacity, and weakening grid reliability are becoming critical concerns. Stability Ready is designed to tackle these issues by accelerating access to power while simultaneously reinforcing grid strength rather than adding strain.

“Access to power has evolved beyond a basic infrastructure concern—it is now a key factor influencing business growth,” said Nicolas Sanloup, Managing Director for Linxon Americas. “Stability Ready was created to enable customers to advance with confidence, delivering not just capacity, but also the reliability and predictability essential for operating large-scale, mission-critical infrastructure.”

Stability Ready brings together established technologies with standardized delivery approaches to create scalable, ready-to-implement solutions. These systems are tailored for energy-intensive and rapidly expanding sectors—especially data centers—while also supporting utilities in maintaining grid stability amid the retirement of traditional power generation assets.

Key components of the offering include:

By combining power delivery with grid support into a unified solution, Stability Ready™ minimizes project uncertainties, accelerates deployment, and enhances long-term system dependability.

Electricity demand in the United States is rising faster than conventional grid expansion can accommodate. At the same time, the transition away from legacy generation and the rise of renewable, inverter-based resources are adding complexity to grid operations. This has resulted in a growing “stability gap,” where simply adding capacity is no longer enough.

Stability Ready addresses this challenge by ensuring that new power sources are not only deployed quickly, but are also reliable, robust, and fully aligned with existing grid systems.

Linxon delivers Stability Ready as a comprehensive Engineering, Procurement, and Construction (EPC) solution. By securing essential equipment early and applying standardized design and execution models across multiple sites, Linxon enables:

Contact:
Maria Vejar, Communications Lead, Linxon Americas
mariajose.vejar@linxon.com | +1 984 286 0457

Baker Hughes has unveiled the newest version of its Cordant industrial software—Release 26.1—introducing enhanced functionality aimed at boosting operational reliability, improving performance stability, and advancing sustainability goals. The update was announced during the 2026 Baker Hughes Annual Meeting in Florence.

Cordant 26.1 broadens enterprise-wide visibility for energy and industrial operators by delivering deeper insight across asset portfolios. The release improves access to high-quality, decision-ready data while expanding usability through a more open, modular, and scalable platform design. This architecture enables a wider range of stakeholders to leverage actionable insights across complex operations.

“Energy and industrial operators are under increasing pressure to achieve more with greater speed, accuracy, and accountability,” said Aravind Yarlagadda, Senior Vice President of Industrial Solutions, Industrial & Energy Technology at Baker Hughes.

“This update strengthens Cordant’s ability to unify asset intelligence, risk insights, and operational data within a single ecosystem—helping organizations reduce unexpected outages, allocate capital more strategically, and enhance day-to-day performance.”

Strengthening Asset Performance Management
The latest release enhances reliability and risk transparency by integrating asset strategy, integrity management, and health monitoring into a cohesive workflow. New and upgraded features—including advanced Failure Mode Analytics, waveform analysis, and deeper KPI drilldown capabilities—are now directly linked to risk modeling, capital planning, and integrity management processes.

AI-powered tools such as cross-domain failure mode mapping and automated risk alignment are designed to minimize manual effort while enabling clearer risk quantification and long-term strategic consistency across asset portfolios.

Driving Process Optimization for Improved Efficiency
Cordant Process Optimization now includes a flexible objective function that allows operators to assess multiple operating scenarios—whether the goal is to increase production, lower energy consumption, or balance both priorities. Real-time, context-aware recommendations guide users toward improvements in throughput, efficiency, and profitability.

These enhancements help organizations respond effectively to shifting market and operational demands while embedding sustainability considerations directly into process decisions. Results may vary depending on site-specific configurations and operational factors.

Scaling Sustainability Efforts
A newly introduced integration between Baker Hughes’ Energy & Emissions Management (EEM) solution and Cordant FastLCA centralizes emissions and energy data across facilities and assets. This consolidated view supports the identification of emissions hotspots, optimization of energy use, and prioritization of decarbonization initiatives using standardized, auditable methodologies.

By embedding lifecycle data into daily operational workflows, Cordant supports regulatory compliance and sustainability progress without increasing user complexity.

Advancing Platform Usability and Security
Core platform improvements enhance usability, flexibility, and enterprise readiness across all Cordant applications. Features such as multi-language support, automated notifications, guided user walkthroughs, and customizable reporting tools help accelerate adoption and improve accessibility across global teams.

With more than a century of innovation in the energy sector, Baker Hughes continues to combine digital platforms like Cordant with its established industrial technologies—empowering customers to optimize performance, extend asset longevity, and strengthen financial returns.