Presenting Our AI Solution for Green Bond Assessment at the ECBC Plenary in Athens

Presenting Our AI Solution for Green Bond Assessment at the ECBC Plenary in Athens
At the end of April, our team traveled to Athens to participate in the 36th European Covered Bond Council (ECBC) Plenary, held on April 29–30.

The event brings together issuers, investors, regulators, and financial institutions from across the global covered bond market, creating an important platform for discussing the future of sustainable finance.

During the second day of the plenary, we had the opportunity to present our AI-powered solution designed for institutions working with green bonds.

Supporting smarter green bond decisions

The solution is built on the Megaladata platform and focuses on helping bond issuers evaluate the eligibility of projects and applicants more efficiently. Using AI prediction models, the system automatically analyzes available data and assesses whether potential projects meet the required sustainability and eligibility criteria.

By automating a process that is often complex and time-consuming, the solution enables financial institutions to accelerate eco-driven decision-making and manage green bond portfolios more effectively.

AI for sustainable finance

Developed together with our partner ADEAL, the product demonstrates how advanced data processing and machine learning can support the growing ecosystem of sustainable finance.

Participating in the ECBC Plenary gave us the opportunity to present this approach directly to members of the international covered bond community and exchange ideas about how AI technologies can support transparency, efficiency, and trust in green finance.

We’re grateful for the conversations and interest from participants throughout the event and look forward to continuing the discussion about the role of AI in the future of financial markets.

See also

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About Megaladata

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A solution for a wide range of business problems that require processing large volumes of data, implementing complex logic, and applying machine learning methods.
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