The orchestration of Regulation Transformation Engine (RTE3), to deliver our award winning RegPlatform.
CUBE RTE3 is our AI-powered service that is completely unique to CUBE. CUBE RTE3 powers CUBE technologies and is the critical component behind CUBE’s interface that enables effective and accurate regulatory data management.
CUBE RTE3 is the technological magic that transforms regulatory data into regulatory intelligence at a scale and quality not possible at a human level.
From the moment we identify sources, to the time that they are published for the end-user, we create lineage across regulatory data. Through CUBE RTE3 we bring together a series of sophisticated processes, that work seamlessly to transform all regulatory data into regulatory intelligence.
This means that when regulatory change occurs anywhere in the regulatory internet, no matter how small, we know about it, as do our thousands of end-users who are able to put change processes in motion, fast.
Once identified, CUBE RTE3 continually monitors all regulatory data sources. It leverages machine learning (ML) and natural language processing (NLP) to monitor the content and track any and all changes. This ensures all regulatory data within CUBE is consistently accurate and up to date, in real time. Where change occurs, it identifies what that change is, and where it takes place within the source. All sources are versioned, enabling the end user to compare renditions and see historical changes.
Once captured, every regulatory source is deconstructed down to the lowest common denominator. It is then recompiled into a common structure through a process of normalisation. This structure is pervasive across every data piece that CUBE consumes and takes the form of a consistent, proprietary schema that is fully tagged to identify every element of the structure.
When new regulatory content is published, or existing content altered, CUBE RTE3 harnesses machine automation to classify the source and assign it to an appropriate model within our Ontology. Our bespoke ontological models interoperate and map the data within a regulatory index, depending on its assigned classification. This results in millions upon millions of classifications, which are instantly, semantically organised into a logical construct. Classification is fully automated and conducted at a speed and scale that is incomparable to existing manual processes.
Where a regulation or rule is published, CUBE RTE3 makes intelligence-based decisions about whether it links to existing regulations or content. Using AI and NLP, it establishes regulatory links, which build out an enriched data register.
Once a regulatory source has passed through each stage within CUBE RTE3, and met CUBE’s stringent validation criteria, it is published in a consumable format for the end-user.
Mapping regulations to cut out the noise and understand what’s relevant, and what’s not.
A personalised dashboard that ensures you are only alerted to the changes that matter to you.
Ready to go workflow to effortlessly collaborate with team members and ensure every action is planned, tracked, and audited.
Our world-class SaaS platform, providing a holistic solution to complex regulatory change management for global financial services. Our RegPlatform product combines industry leading technology with expertly validated insights to present regulatory intelligence.