Imagine a high-tech filter that can spot red flags in mountains of paperwork and digital records to find hidden bribes or fraud. It works like a digital detective that connects dots between suspicious people and money trails that humans would miss. Instead of guessing if something is wrong, it uses hard data to prove where the risks are.
Corruption detection is currently too slow, costly, and based on subjective guesses. Businesses and governments lack automated tools to find hidden links between organized crime and public funds.
An integrated prototype of software components and tools for corruption risk assessment and data-driven intelligence.
If you are a GovTech provider dealing with inefficient manual audits — this project developed AI-powered tools that automate the detection of public procurement fraud. This allows your clients to identify corruption risks faster and with more accuracy.
If you are a financial intermediary dealing with sanction circumvention by oligarchs — this project developed data pipelines that track hidden links to politically exposed persons. This reduces the risk of regulatory fines and improves KYC processes.
If you are a technology provider dealing with corruption at border crossings — this project developed a set of actionable indicators that flag suspicious activity. This helps border guards identify bribery patterns in real-time.
Based on available project data, specific pricing for the software is not listed, as the project is funded by a EUR 4,720,938 EU contribution.
The project is currently in the development and piloting phase, aiming to deliver an integrated prototype of software components and tools.
Based on available project data, specific licensing terms are not provided, but the project involves 27 partners including 5 SMEs and 5 industry players.
The tools focus on sanction circumvention, public procurement fraud, and conflicts of interest for politically exposed persons, adhering to Trustworthy AI and legal privacy standards.
Based on available project data, the project period runs from 2023-09-01 to 2026-08-31, suggesting a multi-year development and integration cycle.
The consortium is highly diversified with 27 partners across 15 countries, balancing academic research (15 entities) with practical application (12 entities). With a 19% industry ratio and 5 SMEs, the project has a strong bridge between theoretical AI and commercial viability, ensuring the tools are designed for actual law enforcement and GovTech use cases.
Contact EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON in Greece
Contact us to explore licensing opportunities for the FALCON prototype.
