IntuView

Company Overview

Snapshot

Founded in May 2005 by Shmuel Bar, IntuView operates with 1–10 employees. The company has raised $1.9M across one funding round from Xenia Venture Capital. IntuView specializes in semantic text analysis, offering solutions for sentiment analysis, entity extraction, and idea mining.

Business overview

IntuView develops advanced solutions for semantic text analysis, leveraging a natural-language processing (NLP) platform available as a standalone server and a cloud-based API. Its flagship product, IntuScan, is a semantic text-analytics platform that combines ontology-based technology with NLP algorithms to provide automated understanding of unstructured text across various languages. The platform handles tasks such as language and dialect identification, entity detection, and identifying sales opportunities in social media, offering both topic categorization and in-depth textual meaning. IntuView's solutions are integrated into business intelligence systems, defense applications, homeland security, and commercial markets, operating in the Media & Entertainment Technologies sector.

Strategic signal

In February 2017, IntuView was noted for its involvement in discreet but thriving business activities between Israeli companies and Gulf states. This highlights the company's ability to navigate complex geopolitical landscapes and secure commercial opportunities in sensitive regions, indicating a robust and adaptable business development strategy.

Company Intelligence Q&A

What is IntuView's primary focus?

IntuView primarily focuses on semantic text analysis, developing solutions for sentiment analysis, entity extraction, name matching, and idea mining across multiple languages.

When was IntuView founded?

IntuView was founded in May 2005.

Who founded IntuView?

IntuView was founded by Shmuel Bar, who also serves as CEO and Chairman of the Board of Directors.

What is IntuView's flagship product?

IntuView's flagship product is IntuScan, a semantic text-analytics platform that combines ontology-based technology with NLP algorithms to provide automated understanding of unstructured text.