AyGLOO anticipates energy risk with XAI

In an increasingly demanding and interconnected context, where energy infrastructures are challenged by unpredictable factors and growing uncertainty, the ability to anticipate critical scenarios is a key competitive advantage. It is in this landscape that AyGLOO, a deep tech startup and part of the Mashfrog Group, stands out as a leading player in applying Explainable Artificial Intelligence (XAI) to complex energy systems.

Anticipate risk, strengthen resilience

The recent power outage in Spain highlighted the strategic importance of predictive tools that not only deliver accurate forecasts, but more importantly, provide transparent and actionable explanations. AyGLOO addresses this need with an XAI platform designed to support grid operators and power system managers in gaining deep insights from data, identifying critical points, and making fast, informed decisions.

Thanks to its proprietary technology, AyGLOO enables a radical transformation of data into actionable knowledge. As Ignacio Gutiérrez Peña, CEO of the startup, emphasizes:

"Our mission is to make predictive models truly usable at a strategic level. We offer tools that make it possible to anticipate complex events, understand their causes, and assess their impacts. That’s how resilience is built."

A distinctive approach to XAI

The platform developed by AyGLOO integrates advanced features that combine predictive accuracy with analytical transparency. These include:

• Identification of critical segments where anomalies or uncertainty zones emerge.
• Dynamic twin models, enabling the simulation of alternative scenarios without retraining the models.
• Multiscale explainability, from the big picture down to hourly details.
• Fairness and robustness checks, useful for detecting bias and data inconsistencies.
• What-if and counterfactuals simulations, to analyze the impact of individual variables (e.g., temperature or energy prices).
• Decision traceability, allowing full auditability of forecasts.

These features position the AyGLOO solution as an essential ally for improving operational efficiency, facilitating the integration of renewable energy sources, and supporting the energy transition of Spain and the European Union.

Research, innovation, and cross-sector impact

The effectiveness of the AyGLOO model is validated by international scientific studies, such as the one conducted by the EPFL_WIRE laboratory at the École Polytechnique Fédérale de Lausanne (EPFL), which highlights the role of XAI in improving wind energy forecasting. But the impact of the technology goes beyond the energy sector: AyGLOO is also involved in a cutting-edge project in collaboration with Europa Press and the Autonomous University of Madrid, aimed at developing a platform for detecting and explaining fake news.

Mashfrog's vision: useful, scalable, transparent technology

AyGLOO’s expertise aligns with the Mashfrog Group’s strategy of investing in high-value technological innovation to deliver scalable, transparent solutions that are central to the digital transformation of key economic sectors. In the energy, healthcare, financial, and media sectors, Mashfrog promotes technologies that amplify human potential and improve the quality of decision-making.

With AyGLOO, the Group strengthens its commitment to a future where artificial intelligence is not just about prediction, but understanding, a future where technology becomes a driver of sustainability, security, and growth.