Intelligent Entity Management

Enhance Decision-Making Process with Intelligent Entity Management

Romulus can discover & model latent interdependencies that exist between different nodes (entities such as people, organisations or abstract concepts such as events or dates) to create a rich layer of metadata on top of which intelligent applications can be built.

With Romulus’s entity management solution banking & financial services leaders can make sound decisions backed in data, enforce data governance & eliminate sources of operational risk.

Single source of truth

Romulus is document layout-agnostic so you don’t need to deal with templates or changes in templates

Discovers latent dependencies in seconds

Romulus uses powerful technology to identify interdependencies and linkages instantly

Disambiguates & Deduplicates

Romulus brings clarity by removing redundancies and distinguishing between entities that have a similar data footprint

Create Accountability & Uncover Latent Insights with Romulus

Romulus consumes data from multiple internal and external sources including financial systems, external websites, documents, etc.

Ingest

Romulus can ingest data from multiple internal & external sources across financial databases, email, faxes, documents, etc.

Romulus to ensure high-quality and consistency across databases disambiguates, deduplicates and enhances the data.

Enrich

Romulus disambiguates, de-duplicates & enhances data from each individual source to ensure completeness & consistency

Romulus aggregates extracted data from all documents to maintain data trail to create the Entity System of Records

Combine

Romulus aggregates enriched data across sources to maintain a data trail & to create a unifying System of Record

Connect

Romulus manifests a web of metadata & connectivity between entities powering applications that rely on complex queries of the underying data

See Romulus in action

Romulus can accurately read & understand a wide range of financial documents

Get started with Romulus

Unstructured Documents

Unstructured data include photos, video and audio files, agreement PDFs, legal documents, open-ended survey responses, websites, phone transcripts/recordings, etc.

Semi-Structured Documents

Semi-structured data include digital photos, SWIFT messages, emails messages, etc.

Structured Documents

Structured data include accounting summary, holding statement, customers’ address and demographic details, star ratings by customers, machines logs, etc.