FAP Group launches REDDI – AI-powered platform for data-driven real estate debt data intelligence

The platform uses artificial intelligence to efficiently evaluate complex financing structures, systematically record market parameters and provide a reliable basis for decision-making. The aim is to significantly accelerate analysis processes and at the same time increase transparency about the market and financing options.

"Our ambition is to complete a deal analysis with REDDI within 48 hours. Speed and precision through the use of data and technology, combined with over 20 years of track record, are our clear USP," says Curth-C. Flatow, founder of the FAP Group.

The underlying AI models were trained with more than 2,000 industry-specific technical terms. They are designed to record and evaluate real estate financing, documentation and market data in a structured manner. Data protection is structurally anchored: REDDI runs in a self-hosted environment, sensitive information is anonymized and pseudonymized before processing.

After an introductory phase, REDDI will be gradually linked to the existing database of the FAP Group. This includes transactions with a volume of 47 billion euros, over 800 projects and detailed profiles of more than 450 credit institutions and investors to date, and is constantly updated. "We are intelligently combining a database that has grown over the years with AI. This enables significantly more precise analyses and better decision-making bases for complex financing structures," says Tobias Jessen MRICS, Executive Director of the FAP Group and responsible for technological development.

With REDDI, the FAP Group is making targeted investments in the expansion of its digital and data-based infrastructure and underlining its claim to support institutional market participants in real estate financing with well-founded, data-based analyses.

The implementation is carried out together with the technology partners Filament Limited and MBytes D.S. GmbH.