CUBE Digital Regulation Platform (DRP) injects science into compliance.
We transform regulatory change management into an agile and cost-effective process, underpinned by Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning (ML) and Robotic Process Automation (RPA).
CUBE was the first Regulatory Technology (RegTech) provider to adopt this innovative approach, and we are independently recognized for our pioneering use of these transformational technologies.
Our enterprise regulatory change management solution far exceeds the capabilities of ordinary regulatory data providers, which simply track and provide continuous feeds of one-dimensional regulatory data. What excites customers and partners about CUBE DRP is the way we track and capture the universe of global financial services regulatory data, and then apply artificial intelligence and sophisticated workflows to enrich that data in order to make sense of it.
CUBE DRP automatically classifies all regulatory statements and we have built a suite of best practice, thematic regulatory ontologies that can be mapped against your own business taxonomies. This enables you to slice and dice regulatory data, perform automated controls mapping, fully-automate impact assessments and conduct regulatory gap reporting and compliance risk reporting in an instant.
CUBE DRP – Injecting AI-driven Science into Compliance
Fully-automated, real time scraping and collection of regulatory content by spiders into a single feed.
Technology: AI, NLP
Regulatory intelligence from a multitude of sources is tagged automatically at document, section, paragraph and sentence level, utilizing a single unified schema that enables highly-granular filtering and contextual analysis.
Technology: NoSQL, Graph, other next generation database technology
Captured data resides in an immense big data lake, which is updated continuously, in real time.
Technology: AI, NLP
Centralized best practice taxonomies and ontologies enable regulatory intelligence to be mapped against your own business taxonomy, lines-of-business and jurisdictions, to evaluate compliance status.
Technology: AI, NLP, ML, RPA
Continuous monitoring, mapping and automated impact assessments trigger alerts when regulatory change creates compliance risk. All affected policy, controls and procedures are identified.
Regulatory specialists can focus on the high-value, pro-active tasks of implementing regulatory change and monitoring execution, rather than the laborious task of monitoring and mapping regulation.