A semantic AI brain that learns from regulatory data
RegBrain is CUBE’s data learning engine: our semantic map of regulatory information. It connects data (and metadata) from across CUBE’s entire regulatory universe in the ultimate knowledge graph.
This semantic understanding unlocks a multitude of advanced AI capabilities for our customers, from regulatory change prediction to personalised insights to task automation. Through RegBrain, CUBE is more relevant, efficient, and intelligent than ever before.
Gain more personalised results through in-product feedback loops. Our relevance algorithms listen to and learn from your explicit feedback.
Stay ahead of the curve of regulatory change. Our predictive analytics help financial firms anticipate future trends and frameworks, enabling mitigation of compliance risk.
Understand what the financial industry thinks about specific regulations with CUBE’s sentiment analysis insights. Which regulations attract the most positive or negative attention?
Robotic process automation (RPA)
Use CUBE even more efficiently through our RPA technology, which identifies when customers are duplicating actions. Decide which of these actions to automate.
Learn from other market-leading financial institutions around the world. Know whether your firm is consistent with industry-specific best practice.
User behaviour analysis
Gain insight into how you use CUBE through our user behaviour analysis dashboard. Understand your workflow patterns at both granular and bird’s eye levels.
CUBE’s award-winning data transformation engine
RegTransform powers our collection, standardisation, translation, enrichment, and validation of global regulatory content. From an AI perspective, RegTransform and RegBrain work hand in hand. RegTransform structures the data, and RegBrain learns from it.