Illuminating Dark Data from Unstructured Sources

Convus™ by nRoad is an AI platform that abstracts and incorporates unstructured data and documents into vital business functions.

AI-Powered

Domain-Aware

Sector-Focused

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0%

Extraction Accuracy

10 Million

Domain Specific Terms Extracted

0 seconds

Faster than Popular Cloud Solutions

2.8 seconds

Faster than Popular Cloud Solutions

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Hi! I am Convus™

an artificial intelligence platform

I recognize the difference between a

Phone Call, Capital Call and a Call Option

I understand the nuance between

Return on Capital and Return of Capital

And of course, the distinction between

Future Options and Options on Futures

* Terms and Limitations Apply

Unstructured Data
in the Enterprise is a
Complex Problem

Financial Institutions are Drowning in a Deluge of Unstructured Data, from various sources and different formats. Manual methods are error-prone, time-consuming, and expensive. Generic NLP platforms do not understand the contextual meaning of financial terms and hence miss the mark.

Powered by
Machine learning algorithms,
Industry-specific knowledge graphs,
Language and domain models,
Convus™ is the missing link to achieve synergy
between structured and unstructured data.

Purpose Built for
Precision Outcomes
in the Financial Services Sector

Natural Language Models that do
not just extract but understand the
meaning and context and can derive
actionable insights.

A patent-pending technology framework that leverages deep learning techniques.

A company led by Financial Domain
Experts, Data Scientists, and
Technologists.

A cutting-edge platform based on Microservices Architecture that delivers use case specific
solutions.

Enterprise Native Solutions that adapt and scale to domain specific challenges.

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A Comprehensive and Customizable Platform
Eliciting Structure, Sense, and Synthesis from Dark Data

Efficient Extractionn

Convus™ extracts information from multiple structured and unstructured data sources by leveraging neural networks, vision and text based techniques.

Efficient Extraction

Convus™ extracts information from multiple structured and unstructured data sources by leveraging neural networks, vision and text based techniques.

Efficient Extraction

Convus™ extracts information from multiple structured and unstructured data sources by leveraging neural networks, vision and text based techniques.

Structural Decomposition

Intelligent decomposition of document and content structures to Identify concepts, definitions, relationships, descriptions across data sources. With hyper focus on document structure vs type, platform can understand layout, reading flow, and deconstruct sections, headers, paragraphs, tables and lists, etc.

Semantic Synthesis

The platform’s built-in knowledge libraries enables it to derive causal reasoning. Domain-specific ontologies and knowledge graphs allows for an intelligent correlation of information across sources.

Intuitive Insights

Neural network models enable structuring of the words and text to form insightful sentences. Separation of fact from opinion across input sources, enabling a factual articulation of data.

Multitude of Use Cases
across the
Financial Services Value Chain.

Public and Private company
Financial analysis

Alternative Investment
Data analysis

Regulatory and
Public Filings

Concept Mining
and Semantic Search

Global Corporate Action
Events Reconciliation

Commercial and
Retail Lending

ESG Data Aggregation

Intelligent Contract Verification

Hi! I am Convus™.

an artificial intelligence platform

I recognize the difference between a
Phone Call, Capital Call and a Call Option.

I understand the nuance between
Return on Capital and Return of Capital.

And of course, the distinction between
Future Options and Options on Futures.

We are confident of dealing with any unstructured document or data.
Bring us your unstructured data and document challenges.
We will run them through the Convus™’ Document Extraction Engine
and Assure you of 95% plus efficacy without any training.

Take the Challenge.
If we don’t succeed, we will buy you pizza lunch!

If we succeed you can reduce the manual methods of dealing with unstructured data and documents.

Either way, you WIN.

* Terms and Limitations Apply

* Terms and Limitations Apply

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