Dexter Energy

Founded in 2017 and headquartered in Amsterdam, Dexter Energy provides an AI-driven software platform for forecasting and optimizing trading strategies for renewable energy assets. The company was founded by Luuk Veeken, who serves as CEO, along with Hubert Penn and Fons de Leeuw. Veeken, an Energy Science graduate, taught himself programming and about power markets, driven by the goal of enabling a fully renewable energy grid. Dexter Energy's core business revolves around a 'Trading as a Service' (TaaS) model, offering software that helps energy companies manage their portfolios of wind, solar, and battery storage. The platform processes vast amounts of data, including weather and market information, to generate precise power and price forecasts for short-term markets like the day-ahead, intraday, and imbalance markets. These forecasts allow clients to automate and optimize their trading decisions, which can reduce balancing costs by up to 35%. The company's clients include over 80 energy companies across Europe, such as utilities, independent power producers, and asset-backed traders like Centrica Energy, Greenchoice, and Luminus. The company's platform is built on an advanced AI stack using machine learning and deep learning technologies, and it integrates directly into client systems via APIs. This enables not just advisory insights but also the direct control of assets like wind turbines to manage fluctuating energy supplies in real-time. Dexter Energy has raised significant capital to fund its growth, including a €10.5 million Series B round in April 2023 and a €23 million Series C round in July 2025. These funds are aimed at accelerating product development, particularly for battery trade optimization, and expanding its presence across Europe. Keywords: renewable energy trading, AI forecasting, power price forecast, energy trade optimization, battery storage optimization, short-term power markets, imbalance cost reduction, energy meteorology, quantitative energy trading, SaaS, day-ahead market, intraday trading, grid balancing, clean energy, asset-backed trading, solar power forecasting, wind power forecasting, energy data science, machine learning, Amsterdam, ClimateTech