Keatext

Overview
Natural Language Processing Tools?
Product stageSegments
Go-to-Market
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Conversational AI and customer service automation
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Keatext is an AI-powered text analytics platform that specializes in interpreting customer feedback. The company's cloud-based solution synthesizes large volumes of unstructured feedback data from multiple channels, including open-survey questions, online reviews, support tickets, chats, and social media posts. Keatext's platform utilizes deep learning and natural language processing to analyze, cluster, correlate, and track customer opinions autonomously, providing actionable insights through a comprehensive dashboard.

The platform is designed to minimize response time and requires no setup, featuring multilingual analysis and context-sensitive, industry-agnostic understanding. It automatically visualizes correlations and trends, offering immediate report-sharing capabilities. Keatext's technology adapts to various industries without requiring algorithm customization, eliminating the need for keywords, lexicons, and semantic dictionaries.

Founded in 2010 by Narjès Boufaden, Keatext initially operated as a professional services provider. In 2015, the company transitioned to a product-based model with the launch of its cloud-based AI-powered text analytics platform. Keatext's solution helps businesses optimize profitability through customer feedback analysis, enabling them to move from assumption-based decision-making to data-driven, research-based strategies. The platform significantly reduces the time required for analyzing customer feedback, with users reporting that tasks that previously took eight hours can now be completed in 10 minutes using Keatext.


Sources

Disclaimer: This company profile has been generated using data obtained through automated web searches and advanced generative AI technology. While we strive to ensure the accuracy and reliability of our sources, auto-generated information could be outdated or inaccurate and should be verified independently.
HQ location:
5605, avenue Gaspé Suite 108 Montréal QC CAN
Founded year:
2015
Employees:
11-50
IPO status:
Private
Total funding:
USD 3.1 mn
Last Funding:
-
Last valuation:
-
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