TLDR: Nexalis, LLC officially launched at the RE+ 2025 conference, introducing its innovative platform designed to transform real-time industrial operational data into AI-ready intelligence. The company, incubated by EDF Research & Development, aims to enable predictive maintenance, optimization, and real-time AI at fleet scale through a unified, vendor-neutral data layer.
LAS VEGAS – Nexalis, LLC has officially announced its launch at the RE+ 2025 conference, held in Las Vegas from September 8–11, 2025. The company is making its debut in the Innovation Zone at Booth v2227, showcasing its groundbreaking solutions for industrial data infrastructure. Nexalis’s core mission is to redefine how industrial data is utilized by converting real-time operational data into intelligence that is readily consumable by artificial intelligence applications.
Quentin Morel, CEO & Co-Founder of Nexalis, emphasized the company’s vision, stating, “The historian is the starting point, not the destination. By combining an ELT-first Agent (Extract-Load-Transform) at the edge, with its cloud-native platform, Nexalis enables industrial AI agents and applications to run on a unified, vendor-neutral data layer to enabling predictive maintenance, optimization, and real-time AI at fleet scale.” This approach signifies a shift from traditional data storage to active, intelligent data utilization.
The platform has already demonstrated its efficacy through a successful deployment at EDF power solutions’ Maverick 6 Solar + Battery Energy Storage System (BESS). This initial implementation marks the beginning of a broader, fleet-wide rollout, providing comprehensive, real-time visibility across various renewable and storage assets. Early outcomes from this deployment include enhanced fault detection capabilities, more informed decision-making processes, and the establishment of a robust foundation for future AI-driven optimization strategies.
Mark Johnson, Executive Vice President for Asset Optimization at EDF power solutions, highlighted the impact of Nexalis’s technology: “This goes beyond data integration. We now have standardized data readily available in the cloud, which streamlines operations today and positions us to drive AI-based performance optimization across the fleet.”
Key benefits offered by the Nexalis platform include:
Unified Data Layer: Facilitates real-time data acquisition from diverse industrial sources.
AI-Ready Structure: Ensures cloud-side standardization of data, making it optimal for analytics, AI/ML, and Generative AI applications.
Cloud-Native Flexibility: Supports deployment options across edge, cloud, or hybrid environments.
Rapid Time-to-Value: Enables quick onboarding of data, often in minutes or hours rather than weeks or months.
Vendor Neutrality: Promotes an open ecosystem with no vendor lock-in and flexible integration capabilities.
Growth-Ready Independence: The platform is validated in production environments and designed for global scalability.
Nexalis has also forged strategic partnerships to bolster its offerings. The company is aligned with AWS, leveraging its cloud infrastructure to deliver turnkey, cloud-native historian capabilities. This collaboration enhances scalability, security, and data distribution, providing immediate market advantages. Furthermore, Nexalis components built on Databricks serve as an industrial-grade data acquisition and transformation layer, feeding high-quality, real-time data into Databricks’ analytics and AI/ML workspace.
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Morel further elaborated on these alliances: “Strategic partnerships with AWS and Databricks position Nexalis as a critical enabler of time-series analytics, real-time AI, and GenAI applications. We’re helping industrial enterprises unlock the full potential of their data—turning assets into intelligence and preparing operations for the AI-driven future.” Nexalis, LLC is a data infrastructure company focused on unlocking the value of industrial operational data, accelerating the transition to intelligent, data-driven operations for energy and industrial enterprises.


