Data Science & AI

The exponential growth of data creates a double-edged sword for sustainable development efforts. While the abundance of high-fidelity data holds immense potential for guiding smarter interventions, translating these datasets into actionable insights remains a persistent challenge for many teams.

Extracting knowledge from complex data

Our focus is on developing practical, user-centric AI-powered tools that streamline complex workflows. Our current suite of solutions address challenges related to text comprehension, comparison and the mining of critical information. This equips development actors with the capacity to extract valuable insights from vast collections of textual data – legal documents, reports, research papers – that might otherwise be overlooked.

What we support

EU Accession Process: AI-powered tools can expedite legal research and compliance, freeing up valuable time and financial resources for experts to focus on downstream needs.

Sustainability, Climate and ESHS Compliance: Text analysis can be harnessed to monitor progress towards Environmental, Social, and Health & Safety goals, as well as the national and subnational climate policy documents, enabling data-driven decision-making for more streamlined planning and accountability.

Intelligent Knowledge Systems in HR: A human-led approach to leveraging LLMs can optimize information retrieval and management, reducing administrative burdens and enhancing hiring accuracy. By applying safeguards, ensuring transparency, and providing proper training, we can ensure these technologies are used ethically and responsibly.

Did you know?

The European Commission has launched OpenEuroLLM, an initiative developing open-source, multilingual artificial intelligence models, supporting a more balanced representation of languages in AI model training and emphasizing ethical, transparent and inclusionary approaches.

Want to know more?

Get in touch with one of our experts to explore opportunities for partnership.

In Focus

Interview-Podcast: AI and NLP for Climate Policy Analysis

In this podcast episode, Mark Tyrrell – data scientist & AI expert at GFA Consulting Group and Rohit Nepali – data analyst & climate consultant at Heat GmbH, share how AI and Natural Language Processing (NLP) are transforming climate policy analysis. They present practical tools like the Climate Policy Transformer, which leverages task-specific language models to extract insights from unstructured policy documents such as Nationally Determined Contributions (NDCs). The discussion spans AI’s role in improving transparency, inclusion, and capacity building—highlighting real-world applications across adaptation, mitigation, and the recognition of vulnerable groups. With an eye toward open-source solutions and responsible AI use, the speakers emphasize both the transformative potential and the necessary safeguards in deploying these technologies for climate action.