Pre.Di.C.I.
The intelligent platform for predicting financial crises and risk scenarios
Pre.Di.C.I. is the cloud-based solution developed by Revelis that leverages advanced Artificial Intelligence to transform large volumes of data into reliable and actionable forecasts.
The Pre.Di.C.I. project was created to address the growing number of financial distress situations affecting businesses and Public Administrations. It is designed to:
– anticipate critical issues;
– reduce risk;
– improve decision-making quality.
By integrating advanced Machine Learning techniques and automated reasoning models, the platform goes beyond providing predictive analyses of credit risk and financial crisis scenarios for Public Administrations. It actively supports decision-making processes, enabling organizations to make more informed, timely, and effective strategic decisions.
Strengths of Pre.Di.C.I.
Pre.Di.C.I. is a platform built on the Italian regulatory and accounting framework and is distinguished by multiple strengths.
DESIGNED FOR THE ITALIAN CONTEXT
Compliant with harmonized accounting standards (Legislative Decree 118/2011) and ready for ITAS standards.
EXPLAINABLE MODELS
Accurate and transparent forecasts, aligned with governance requirements.
SCALABLE CLOUD ARCHITECTURE
Microservices, Azure SQL Managed Instance, and Kubernetes to support growing data volumes.
SEAMLESS INTEGRATION
An open architecture that interoperates with existing management systems and ERP platforms.
PRIVACY BY DESIGN
Pseudonymization, anonymization, and full GDPR compliance.
TRIPLE BOTTOM LINE
Performance economiche, ambientali e sociali integrate.
Funzionalità
Pre.Di.C.I. provides advanced Artificial Intelligence and Big Data Analytics tools for financial risk analysis and forecasting, automating complex tasks and improving operational efficiency.
With Pre.Di.C.I., it is possible to process large volumes of financial, accounting, and non-financial data from client balance sheets and authoritative external sources (ISTAT, Ministry of Economy and Finance, Bank of Italy) to deliver predictive credit risk analyses and financial distress scenarios for Public Administrations.
Predictive risk analysis and identification of patterns and anomalies
AI models capable of anticipating financial crises, insolvencies, and distress scenarios, as well as identifying risky behaviors through community analysis and relationships between data points.
Automated text analytics
Classification and interpretation of technical and administrative documents, reducing processing time and error margins.
Dynamic financial data monitoring
Continuous analysis of financial statements and economic indicators to identify trends and anomalies.
Smart Dashboards and alerts
Real-time visualization of KPIs and automatic activation of notifications when critical thresholds are exceeded.
Characteristics
Hybrid and explainable intelligence
Combines Deep Learning models with rule-based systems, making predictions transparent and interpretable.
Scalable, cloud-native architecture
Efficiently handles large volumes of data, ensuring high performance even in real-time scenarios.
Integration of heterogeneous data
Unifies financial, socio-economic, and document-based data into a single analytical environment.
Data-driven approach
Transforms complex data into strategic insights, supporting fast and informed decision-making, and provides dashboards and interfaces designed to make analysis accessible even to non-technical users.
Applications
Pre.Di.C.I. is a cross-functional platform designed to adapt to different application contexts where risk prediction is a key factor.
Financial and credit sector
Supports solvency analysis, credit risk management, and cash flow forecasting.
Businesses and SME
Improves financial control, reduces risk exposure, and optimizes strategic planning.
Public Administration
Enables budget monitoring and the forecasting of financial distress scenarios, facilitating preventive interventions and more efficient resource management.
Territorial socio-economic analysis
Integrates public data and contextual indicators to assess economic impact and support strategic decision-making.
Data-intensive environments
Ideal for organizations managing large volumes of data that require advanced forecasting and analytics tools.
Funding
Pre.Di.C.I. is a project funded under national and European policies supporting industrial research and experimental development, and is part of the PON Research and Innovation 2021–2027 programme – European Union.
The project, which pursues multiple objectives spanning industrial research (IR) and experimental development (ED), from the design of the Data Lake to final vertical applications for two target markets, was developed by three complementary entities:
– Revelis S.r.l., which coordinates the project and leads the Public Administration verticalization;
– EVO-BI S.r.l., which leads the business verticalization;
– University of Calabria, which coordinates research activities with expertise in financial statement analysis, Machine Learning, Deep Learning, and automated reasoning.
