PhraseTech
Inactive

Automated content creation

Advanced Targeting Automated Text Creation Marketing
Machine Learning Natural Language Generation Natural Language Processing

Business Overview

DESCRIPTION

PhraseTech lets online retailers create fully customized product pages specifically targeting a customer’s gender, age range, location, etc. With the technology, tens of thousands of versions of copy can be generated for each product page, and machine-learning capabilities and real-time analytics are then used to optimize the various texts and surface the top-performing messages to ensure the best conversion rates. For instance, copy directed at a woman shopping for snow boots can reference the local temperature in her area and remark that the boots are highly rated for sub-zero weather. PhraseTech also operates Buzzrake.com, a search engine for online opinions, and manages an original content online magazine.

FOUNDED
June 2013
CLOSED
June 2019
EMPLOYEES
25
BUSINESS MODEL
B2B
OFFERING TYPE
Software
TOTAL FUNDING
$5 Million
SECTORS
Advanced Targeting Automated Text Creation Marketing

Funding Rounds

Date Announced

Funding Round

Amount Raised

Investors

January 2017
Funding Round
$1.5 M
February 2016
Series A
$3 M
December 2013
Seed
$0.5 M

AI Technology Stack

AI DESCRIPTION

Through a series of technological breakthroughs, Phrasetech developed the first Natural Language Generation (NLG) system capable of creating content at scale, indistinguishable from text created by a human author. Our system is designed to deal with the abundance of information available today, efficiently analyzing bulk amounts of data to produce sophisticated insights about any domain or field. Applying knowledge gained in the analysis stage enables creation of a Semantic Generative Model, that contains deep contextual understanding of the specific domain. We combine: Semantic Model: The domain-specific contextual understanding enables optimal selection of topics to create insightful and engaging narratives. Generative Linguistic Model: At the core of our technology sits a linguistic model that directs the synergy between the semantic knowledge and the grammatical, lexical andstylistic demands in the textual generation process. Combining deep semantic understanding and the powerful Linguistic generative Model, along with editorial guidelines and formatting, result in sophisticated texts generated at scale. The generated content goes through our Evaluation Module to assess the texts’s compatibility and effectivenes, to ensure it optimally reaches its business goals. Our models are dynamic and highly configurable, so the content can be easily edited and tweaked.

AI EMPLOYEES
3
AI TYPES
Machine Learning Natural Language Generation Natural Language Processing