Aspectiva

Natural Language Processing Technology for Online Retailers

Business Software
Acquired (Inactive) by Walmart on Feb 2019 - closed due to acquisition
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Company Overview

Snapshot

Founded in January 2013 by Ezra Daya, Yoad Arad, and Eyal Hurvitz, Aspectiva operated with 51–200 employees. The company raised $4.2 million across 3 funding rounds from 6 investors before being acquired by Walmart in February 2019.

Business overview

Aspectiva developed artificial intelligence and advanced natural language processing (NLP) technology to enhance the online retail experience. The company's technology analyzed shopper reviews to extract opinions, transforming consumer feedback into actionable insights for product understanding and improved customer experience. Aspectiva served the eCommerce industry, operating within the Business Software sector.

Strategic signal

In February 2019, Aspectiva was acquired by Walmart, marking a significant strategic move for the retail giant to integrate advanced AI capabilities into its eCommerce operations. This acquisition highlighted the growing importance of natural language processing and AI-driven consumer insights in the competitive online retail landscape, signaling Walmart's commitment to leveraging innovative technology for enhanced customer engagement and product recommendation systems.

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Company Intelligence Q&A

What was Aspectiva's primary focus?
Aspectiva focused on leveraging artificial intelligence and natural language processing technology to analyze consumer opinions from product reviews, aiming to set a new eCommerce standard for buying decisions.
When was Aspectiva acquired and by whom?
Aspectiva was acquired by Walmart in February 2019, leading to its status as an inactive entity.
Who were the founders of Aspectiva?
Aspectiva was founded by Ezra Daya, Yoad Arad, and Eyal Hurvitz.
What type of technology did Aspectiva utilize?
Aspectiva utilized artificial intelligence and advanced natural language processing (NLP) technology, combining deep linguistic knowledge with cutting-edge machine-learning approaches.
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