Partnering with Previse Systems
We're partnering with Previse Systems to bring agentic AI for energy trading, from document processing to reconciliation and human review.
Today we’re announcing a partnership with Previse Systems, the developer of the Previse Coral energy trading and risk management (ETRM) platform, to explore practical applications of agentic AI across energy trading operations.
Energy trading teams need accurate information to make decisions, but collecting that information and handling routine tasks can take time away from the work that requires their expertise. Together, we will assess where AI can reduce repetitive work, improve access to operational information and help teams manage increasingly complex processes.
Bringing trading technology and AI expertise together
Previse Coral’s cloud-native, API-first architecture and open ecosystem provide a foundation for connecting external capabilities to core trading processes, while CommodityAI brings AI agents designed to work alongside existing systems, adapting to how commodity businesses operate and automating their day-to-day workflows. By combining their technology perspectives and market experience, Previse Systems and CommodityAI intend to evaluate where agentic AI can deliver measurable operational benefits.
Starting with practical trading workflows
Initial focus areas span power, gas, energy certificates and liquefied natural gas (LNG). Potential use cases include processing trade-related documents, extracting and sharing information, supporting reconciliation and highlighting exceptions for human review. The aim is to identify workflows where specialist AI capabilities could work alongside an ETRM platform, while keeping appropriate oversight with trading and operations teams.
Keeping people and systems in control
Our focus is on evaluating useful, well-defined applications alongside the systems trading teams already rely on. Specialist AI capabilities need dependable transactional data, clear integration boundaries and appropriate human oversight. The partnership will explore where that combination can deliver measurable operational benefits.
Energy trading teams have deep expertise, but too much of their time is still spent gathering information and handling routine work. Our partnership with Previse Systems is an opportunity to explore where AI can make the greatest difference and help those teams focus more of their time on the decisions that matter.
AI is only as valuable as the data it can rely on. In energy trading, that starts with a robust system of record providing reliable transactional data. Coral provides that foundation, together with a modern, open architecture that gives us the opportunity to explore how specialist AI capabilities could be integrated securely and selectively into energy trading workflows. Our partnership with CommodityAI is about evaluating where such a combination can create real value, while ensuring that customers retain appropriate control over their systems and data.
About CommodityAI
CommodityAI helps energy and commodity trading firms scale their operations with less manual work. Built specifically for physical commodity markets, its AI agents automate workflows across trading, logistics and finance, from processing trade documents to reconciling invoices. Designed to complement existing trading and enterprise systems, the platform keeps records current and flags exceptions for human review. This gives teams more capacity to act on market opportunities, serve customers and manage the complexity of their business.
About Previse Systems
At Previse Systems, we fundamentally reshape the way Energy Trading and Risk Management (ETRM) software is designed, implemented and operated. We offer a highly performant SaaS solution for European electricity, natural gas and certificates trading – combining modern software architecture with the latest available tools and technology.
As a conceptual innovation, we build on the notion of “community”, with an infrastructure for energy companies to leverage synergies through collaboration in the IT domain. The goal of this is simple: better software, faster and at lower cost. We create software without any legacy burden. Our data structure follows accepted market standards, which drives easy and fast data migrations, and is also a core factor of strong system performance.
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