Previse Systems and CommodityAI Partner to Explore Agentic AI for Trading
Previse Systems, developer of the Previse Coral energy trading and risk management (ETRM) platform, and CommodityAI, a provider of agentic AI solutions for commodity businesses, today announced a partnership to explore practical applications of AI across energy trading operations.
The collaboration combines Previse Systems’ expertise in cloud-native energy trading technology with CommodityAI’s experience applying AI to commodity workflows. The companies will assess opportunities to reduce repetitive tasks, improve access to operational information and help trading teams manage increasingly complex processes.
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.
Previse Coral’s cloud-native, API-first architecture and open ecosystem provide a foundation for connecting external capabilities to core trading processes. By combining their technology perspectives and market experience, Previse Systems and CommodityAI intend to evaluate where agentic AI 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.”
Philip Koenig, CEO, CommodityAI
“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.”
Asbjørn Hansen, CEO, Previse Systems
About the 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.
With Previse Systems, energy companies are well equipped to master the challenges of a fast-evolving environment.