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Transformational regulatory technology

Leverage artificial intelligence and other innovative regulatory technologies to inject science into compliance.

The challenge of high-velocity regulatory change requires a solution that can accommodate varied lines of business working across multiple jurisdictions.

In order to maintain compliance in the wake of increased scrutiny by global regulators, and to make sense of the regulatory inconsistencies and overlaps, compliance and risk professionals require a regulatory technology (RegTech) solution that has been designed specifically to meet the challenges they face.

Enter CUBE, the first RegTech provider to adopt the innovative approach of continuously capturing regulatory change data from global regulators, before further enriching it to transform it into regulatory intelligence, and then enabling compliance teams to evaluate its impact against their own policies and controls.

Why the CUBE Digital Regulation Platform (DRP)?

We harness regulatory intelligence to 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).

Our enterprise regulatory change management solution far exceeds the capabilities of ordinary regulatory technology data providers, who 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 AI and sophisticated workflows to enrich that data in order to transform it into regulatory intelligence.

CUBE DRP automatically classifies all regulatory statements and utilizes a suite of best practice, thematic regulatory ontologies that are 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 and compliance risk reporting in an instant.

By transforming regulatory data into regulatory intelligence, you will save time and money when it comes to compliance decision making.

Continued compliance requires an upgrade from pre-RegTech platforms

The emergence of financial fraud and cybercrime during the coronavirus pandemic has led to an increase in demand for RegTech. Listen to CUBE’s Head of Sales, Americas – Rob Fulcher – discuss this topic with a panel of RegTech leaders in a recent ‘RegTech Talks’ podcast.


CUBE DRP – Injecting AI-driven Science into Compliance

Technology: Web-crawling

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.