Robin AI
Public sector
Country or Region
United Kingdom of Great Britain and Northern Ireland
Sourced From
Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases
Robin AI is a platform designed to accelerate legal workflows, particularly contract review and analysis. It uses AI to help legal teams review contracts 80% faster, extract relevant data in seconds, and automate tasks such as summarizing, drafting, and checking clauses. The service integrates into tools like Microsoft Word and offers a secure, private environment for businesses handling sensitive legal data.
Operational Efficiency and Case Management
Signaux Faibles
Public sector
Country or Region
France
Sourced From
Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases
Signaux Faibles is an open-source AI tool in France that analyzes public financial and social data to detect early signs of business distress. Using machine learning, it helps government agencies identify at-risk companies up to 18 months in advance, enabling timely intervention. Initially launched in Bourgogne, a region in eastern France, in 2016 and later expanded nationwide, the tool continuously improves through data refinement and transparency. Its open-source nature ensures adaptability, collaboration, and reduced bias in financial risk assessment.
Monitoring and Control
Resource Planning
Statnett - Forecasting weather-dependent failures on power lines
Public sector
Country or Region
Norway
Sourced From
Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases
Statnett, Norway's electricity transmission system operator, developed a service that predicts the probability of failures in overhead power lines due to weather conditions, particularly wind and lightning. The system utilizes historical failure data and weather statistics to create fragility curves for each line, indicating their vulnerability to specific weather events. By integrating these fragility curves with real-time weather forecasts from the Norwegian Meteorological Institute, the service calculates and updates failure probabilities for individual power lines. The results are visualized through an interactive dashboard, enabling system operators to anticipate and prepare for potential weather-induced failures effectively. This proactive approach enhances the reliability and resilience of Norway's power transmission network.
Monitoring and Control
Resource Planning