Make Quicker & Better Decisions with Intelligent Information Discovery
Romulus's Intelligent Information Discovery module is a next-generation enterprise search solution based on advanced machine learning, natural language processing & knowledge mapping techniques. Romulus can trawl through vast amounts of enterprise data to surface contextually relevant information & insights.
Traditional search platforms struggle to go beyond keyword matches to deliver contextual results. Romulus is built to deeply understand & map context and can be configured to go deep i.e deliver the most pertinent results as well as wide i.e surface the most exhaustive set of relevant documents.
Search for "things" & not "strings"
Trained on over 100 million documents, Romulus knows to look for the thing you're after rather than just the keywords you've used
Wide or deep - your choice
Romulus allows you to discover just the way you need to - look deep to find the best answer or wide to make sure nothing is missed out
Smart like a human, Fast like machine
Romulus understands documents the way a human subject matter expert would, while delivering results at machine speed
Search gets Quicker & Better with Romulus
Contextualize
Romulus digests a new document autonomously mapping its contents against previously known documents & creating contextual DNA map
Query
Romulus enables contextual high complexity queries, retrieving including entities, people clauses, definitions, places & fields and not just string matches
Segment
Romulus can use context & content-based queries to classify document sets into groups which can be exported for further analysis.
Automate
Codify your discovery process into an automated workflow which kicks off when discovery results change or new information is ingested/unearthed
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.