Magnus Commodities Integrates Generative AI into Its M·Tech Platform to Transform Energy Management

Magnus Commodities, an international consultancy specialized in strategic energy procurement, has integrated M·AI, a generative artificial intelligence agent, into its M·Tech platform. This new functionality enables the management of the complexity of more than 4,500 daily energy data points through natural language, addressing all of its clients’ needs. In doing so, the company strengthens its presence in the European energy management market, valued at USD 17.27 billion and projected to grow to USD 31.69 billion by 2030. With M·AI, Magnus Commodities positions itself as a key competitor to industry giants such as Schneider Electric, Siemens, and Honeywell, offering a conversational approach that simplifies the complexity of the energy market.

Conversational Technology Applied to Complex Energy Ecosystems

M·AI delivers an innovative approach compared to traditional energy management software. Unlike conventional solutions, which require specific technical expertise to interpret dashboards and reports, the new agent allows users to make queries in natural language. The tool integrates information from European energy markets, consumption data, evolving regulations, market fundamentals, and other essential elements such as assets, contracts, market settlements, detailed costs, operational indices, and dashboards. Users can submit queries and receive responses that include graphical visualizations and data tables, enabling instant and intuitive access to information.

Differentiation in a Competitive Market

The global energy management software sector, valued at USD 37.61 billion in 2024 according to Business Research Insights, is undergoing a transformation toward more intuitive and accessible solutions. While market leaders such as Schneider Electric focus on IoT infrastructure and industrial automation, Magnus Commodities has chosen generative conversational interfaces as its primary differentiator.

Magnus Commodities’ strategy stands out in a competitive landscape where many companies offer platforms for energy advisors centered on tariff comparison and contract management, while others focus on traditional advisory services. With M·AI, the firm aims to position itself at the intersection of specialized consultancy and advanced technology.

Evolution Toward Predictive and Optimization Capabilities

The initial version of M·AI is not limited to querying and visualizing historical and real-time data. Its development roadmap includes advanced artificial intelligence capabilities such as predictive analytics, KPI optimization, and proactive alert generation based on dynamic market behavior patterns.

This approach aligns Magnus Commodities with broader industry trends, where artificial intelligence is becoming a critical tool for corporate energy management. According to the International Energy Agency’s World Energy Outlook 2024, digitalization and AI are essential to accelerating the energy transition and improving operational efficiency. The M·Tech platform—developed by Magnus Commodities’ internal team in collaboration with experts across multiple disciplines—already included functionalities such as market monitoring, portfolio management, invoice control, and carbon footprint tracking. The integration of M·AI adds a layer of conversational intelligence that simplifies interaction with these complex datasets.

Context of Digital Transformation in the Energy Sector

The launch of M·AI comes at a time of intense transformation in the European energy sector. Price volatility—exacerbated by geopolitical factors and the transition to renewable energy—has increased demand among large energy consumers for more sophisticated management tools.

The European energy consultancy market, where Magnus Commodities has operated since 2014, has experienced significant growth driven by market liberalization and new energy efficiency regulations. The company, which has been part of the Veolia ecosystem since Veolia’s entry into its shareholding in 2016, competes in a segment where technological differentiation is a critical success factor.

The integration of artificial intelligence into energy management platforms represents an emerging trend in the sector. While major industrial software providers such as Siemens and Schneider Electric primarily use AI for automation and predictive maintenance, Magnus Commodities is applying it directly to the interpretation of and access to market data.

With M·AI, Magnus Commodities aims to consolidate its position in the Spanish energy consultancy market and expand its value proposition toward a differentiated technological offering in a sector projected by Technavio to grow at an annual rate of 11.4% through 2029.

Magnus Commodities