Evature

Free-text Search for Online Travel

Business Software
Acquired (Inactive) by Booking.com on Sep 2017 - closed due to acquisition
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Company Overview

Snapshot

Founded in November 2009 by Barry Volinskey and Tal Weiss, Evature operated with 1–10 employees. The company raised a total of $5 million across two funding rounds, with SAP Concur as an investor. Evature was acquired by Booking.com in September 2017.

Business overview

Evature specializes in business software, offering the Expert Virtual Agent (EVA), a solution designed for free-text search in the online travel sector. Utilizing advanced algorithms, EVA processes natural language search requests, converting them into structured queries with high precision. This technology aims to enhance conversion rates, revenue, and user satisfaction for businesses in the travel and tourism industry, particularly travel agencies, by improving the search experience.

Strategic signal

In November 2012, Evature secured an investment from SAP Concur, a significant validation of its voice technology tool for the travel industry. This investment highlighted the growing interest in natural language processing and AI solutions to streamline online travel booking processes, signaling a market trend towards more intuitive and user-friendly search interfaces.

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Company Intelligence Q&A

What is Evature's primary product?
Evature's primary product is the Expert Virtual Agent (EVA), a solution that enables free-text search capabilities specifically for online travel platforms.
When was Evature acquired and by whom?
Evature was acquired by Booking.com in September 2017, leading to its inactive status.
Who are the founders of Evature?
Evature was co-founded by Barry Volinskey and Tal Weiss.
What was a notable investment in Evature?
In November 2012, Evature received an investment from SAP Concur for its voice technology tool.
What problem does Evature's technology address?
Evature's technology addresses the challenge of processing free-text search requests in online travel, converting them into structured queries to improve conversion rates, revenue, and user satisfaction.
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