Rektron Group Inc., a global commodity trading group with subsidiaries that specialize in trading energy, metals, and energy transition commodities, announces a strategic expansion into artificial intelligence (AI), representing a pivotal evolution in the group's trading, risk management, and logistics operations.

This substantive new initiative will embed advanced AI technologies into Rektron's core trading ecosystem - supporting enhancement predictive market models, optimizing dynamic hedging strategies, and streamlining supply chain logistics. The objective is not merely incremental innovation, but a fundamental redefinition of how the group identifies risk and manages its global logistics and commodity flows.

At the heart of this transformation is ASCEND, Rektron's proprietary trading and risk management platform, which will now incorporate next-generation AI capabilities to:

• Enhance Market Intelligence: Utilize large language models (LLMs) to process and interpret real-time market news, macroeconomic indicators, and cross-asset correlations, delivering faster and more informed trading decisions.

• Optimize Hedging Strategies: Deploy deep learning algorithms to refine dynamic hedging, improving risk-adjusted returns across volatile commodity markets.

• Transform Supply Chain Logistics: Leverage AI-driven analytics to predict disruptions, optimize routing, and reduce costs across Rektron's global logistics and infrastructure network.

To lead this transformative initiative, Rektron has appointed Rajeev Shankar as Head of Artificial Intelligence & Quantitative Strategy.

Rajeev Shankar brings extensive experience from leading financial and technology institutions:

• Valorous Investment Fund: Engineered a generative AI trading model for equities, delivering 20% annualized returns with a Sharpe ration of 2.5, and developed a cryptocurrency forecasting system achieving 32% annualized returns across over 400 digital assets.

• Palantir Technologies: As a Deployment Strategist, designed advanced risk analytics and portfolio optimization tools for sovereign wealth funds and restructured supply chains for private equity-backed firms, generating over $45 million in operational efficiencies. Built AI-driven analytics for a $3 billion industrial restructuring, resulting in $50 million cost savings.

• Nivaura: Led the development of AI solutions for automated bond issuance and documentation, producing over £1 million in revenue and significantly reducing time-to-market. London Stock Exchange Group being the largest partner¹.

A graduate of Oxford University (Brasenose College) with a Master's degree in Engineering, Mr. Shankar specializes in machine learning, statistical inference, and operational research. He is proficient in Python, PyTorch, Palantir Foundry, and advanced quantitative modelling techniques.

"Artificial intelligence is not just a tool for Rektron - it is becoming the backbone of our trading, risk management, and logistics strategy," said Atanas Kolarov, Chief Executive Officer of Rektron Group Inc. "With Rajeev's leadership, we are building a next - generation trading operation, faster, smarter, and capable of managing complexity at a level that was previously unimaginable"

Next Steps

Rektron's AI integration will be deployed in structured phases over the next 12 months. The initial rollout will focus on commodity trading signal enhancement, real-time hedge execution, and end-to-end supply chain optimization. Subsequent phases will explore AI-driven financial structuring and live asset tracking across Rektron's global infrastructure portfolio.