Product Listings
Azure Text Analytics is a software that provides natural language processing features for analyzing text data. It enables extraction of key information such as sentiment, key phrases, named entities, and language detection from unstructured text. The software is designed to help organizations automatically process and understand large volumes of textual content, supporting tasks such as customer feedback analysis, document classification, and content moderation. By leveraging machine learning models, the software assists businesses in gaining insights from text data, enhancing decision-making and improving operational efficiency through automation of data analysis.
Qualtrics XM Platform is an experience management software designed to collect, analyze, and act on feedback from customers, employees, products, and brand interactions. The software offers features including survey creation, data analytics, real-time dashboards, and advanced reporting to help organizations measure and improve experiences. It enables users to design and distribute surveys across multiple channels, aggregate data from different sources, and use analytics tools to identify patterns and insights. Integration capabilities with other enterprise systems and customizable workflows support process automation. The software aims to help businesses understand key drivers of satisfaction, retention, and engagement by providing actionable insights based on collected data.
Lexalytics is a software that enables organizations to analyze and interpret unstructured text data through natural language processing and machine learning techniques. The software provides features such as sentiment analysis, entity recognition, categorization, intent detection, and summarization, allowing users to extract insights from sources including customer reviews, social media, and internal documents. Lexalytics addresses the business problem of managing and understanding large volumes of text data by automating the process of data extraction and analysis, supporting decision-making and trend identification within organizations.
IBM Watson Natural Language Understanding is a software that analyzes text to extract metadata from content such as concepts, entities, keywords, categories, sentiment, and emotion. The software processes unstructured data, including articles, social media, and documents, to identify topics and relationships within the text. It helps organizations automate content review, derive insights from large volumes of textual information, and improve decision-making by enabling better understanding of language structures and context. The software can be integrated into various applications to support content classification, sentiment analysis, and entity recognition without manual intervention.
Brand24 is a software that provides online monitoring and analytics for brands and businesses seeking to track their presence across digital platforms. The software collects and analyzes real-time data from social media, news sites, blogs, forums, and other sources to identify mentions and discussions related to specific keywords or brand names. It offers sentiment analysis, influencer identification, and volume tracking to help organizations understand public perception and engagement. Brand24 software supports users in managing reputation, improving customer service, and measuring the effectiveness of public relations and marketing activities. The software addresses the business need to stay informed about brand conversations and manage responses in a timely manner.
Talkwalker Consumer Intelligence Platform is a software designed to support organizations in monitoring, analyzing, and interpreting online conversations and consumer insights. The software uses artificial intelligence to process data from a variety of digital sources including social media, forums, blogs, and news sites, enabling users to understand brand perception, emerging trends, and market movements. It offers features such as sentiment analysis, trend detection, image recognition, and customizable dashboards, which help businesses identify opportunities, manage risk, and inform strategic decision-making. The software aims to address the business challenge of deriving actionable intelligence from large volumes of unstructured data, facilitating more informed marketing, communication, and product development activities.
Chattermill is customer feedback analysis platform that allows Voice of the Customer (VoC) teams to automatically analyze feedback to discover what their customers really think. VoC teams use Chattermill to analyze customer feedback from various sources such as surveys, reviews, customer support tickets and social media data, to uncover customer insights that help them understand the voice of their customers. Chattermill provides a unified platform for customer feedback, customer support, and product feedback, implementing deep learning artificial intelligence (AI) to analyze customer data and deliver accurate, relevant insights.
Clootrack is an AI-powered sentiment analysis solution built to help organizations understand emotional signals embedded in unstructured customer feedback. It analyzes text and voice data from reviews, surveys, contact center interactions, and digital channels to detect sentiment trends and emotional drivers at scale.
The platform goes beyond basic positive or negative classification by linking sentiment to themes, topics, and experience drivers. This enables teams to understand why sentiment is shifting and how emotional signals relate to specific touchpoints, journeys, or operational issues.
Sentiment insights are delivered through configurable dashboards and are fully traceable to source data, supporting ongoing experience monitoring, root-cause analysis, and targeted improvement actions.
Kapiche is a software designed for analyzing and interpreting customer feedback data. It provides tools for text analytics that enable organizations to process large volumes of qualitative feedback from sources such as surveys and reviews. The software identifies key themes, trends, and sentiments without relying on pre-built taxonomies, allowing users to gain insights into customer experience and opinions. Kapiche helps users address business problems related to understanding customer needs and improving products or services based on systematic feedback analysis. The software integrates with existing data collection systems and supports reporting to facilitate informed decision-making.
Medallia Experience Cloud (MEC) is a SaaS platform designed to gather and analyze customer, employee, and product experience signals across all experience touchpoints, including web, mobile, in-person interactions, contact centers, and direct feedback. Tooling includes feedback collection, real-time analytics, and sentiment analysis and includes AI, machine learning, and GenAI to simplify analysis for users and expedite actions so teams can spend more time with customers. MEC is embedded in workflows and org cultures, empowering accountable parties from the frontline to the C-suite with role-specific insights resulting in a culture focused on immediate action (both manual and automatically triggered) that enables the right person or system to take the right action at every level, driving better experiences, more empowered employees, and a VoC-centric culture.
OpenText Magellan Text Mining is a software designed to analyze and extract insights from large volumes of unstructured text data. The software uses natural language processing and machine learning techniques to identify patterns, entities, sentiment, and relationships within documents, emails, and other text sources. It facilitates information discovery, supports compliance and risk analysis, and accelerates knowledge management by automating the categorization and summarization of textual content. Organizations employ the software to address challenges related to data overload, improve decision making by uncovering relevant information, and optimize workflows with advanced text analytics capabilities.
Enterpret is a software designed to analyze and categorize customer feedback across various channels. The software utilizes natural language processing and machine learning to extract insights from qualitative data such as support tickets, reviews, and survey responses. By consolidating customer feedback into a unified platform, Enterpret enables organizations to identify trends and areas for improvement in their products and services. It offers features such as sentiment analysis, automated tagging, and customizable dashboards, facilitating data-driven decision-making for product development and customer experience teams. This software aims to address the challenge of efficiently interpreting large volumes of unstructured feedback data to inform strategic business actions.
Hitech BPO is a business process outsourcing software focused on supporting organizations with back-office operations such as data entry, data processing, data conversion, document management, data analytics, and research services. The software aims to streamline workflows involving large-scale data management and processing tasks, facilitating accuracy and efficiency for businesses handling significant information volumes. It automates repetitive work, validates data, and helps organizations store, manage, and retrieve information with improved organization and accessibility, thereby addressing common business challenges related to data overload and operational inefficiencies.
Media Watcher is a software designed to support media monitoring and content analysis across digital platforms. The software utilizes artificial intelligence to track, categorize, and interpret information from various online sources including news sites, social media, blogs, and forums. Media Watcher provides features such as automated sentiment analysis, trend detection, and real-time alerts, facilitating the identification of reputational risks and emerging narratives. Its functionalities aim to help businesses and organizations make informed decisions by offering data-driven insights into media coverage and public discussion. The software addresses the challenge of handling large volumes of digital content by streamlining the aggregation and evaluation of media data within a unified interface.
Rosette is a software developed by Babel Street that provides multilingual text analytics capabilities, including entity extraction, name matching, language identification, and sentiment analysis. The software processes and interprets unstructured text data from various sources to help organizations extract structured information and insights across multiple languages and scripts. By supporting tasks such as detecting relevant entities and understanding context in different languages, the software addresses business problems related to data analysis, global communications, and information management. Rosette is designed to be integrated into existing applications or workflows, offering scalable solutions for organizations working with volume and diversity in linguistic data.
SurveySensum is a software designed to facilitate the collection and analysis of customer feedback through surveys. The software enables organizations to create, distribute, and manage surveys across multiple channels, supporting various question formats and targeting options. It offers analytics tools to interpret survey responses, visualize data, and identify patterns in customer sentiment. With automation features, the software streamlines follow-up actions based on survey results and integrates with other business applications to enhance workflow efficiency. SurveySensum assists businesses in understanding customer preferences and measuring satisfaction, providing insights that help address customer experience challenges and inform decision-making processes.
Listen IQ is a software designed to assist language learning and development by providing users with listening practice and assessment tools. The software offers structured audio content, interactive exercises, and progress tracking functionalities to support users in enhancing their listening comprehension skills. Listen IQ enables educators to assign listening tasks, monitor learner performance, and adapt content based on user progress. The software addresses the challenge of improving language proficiency by offering targeted exercises and analytics aimed at developing listening abilities for learners at different levels.
SAS Visual Text Analytics is a software that enables organizations to analyze and extract insights from unstructured textual data. The software integrates natural language processing, machine learning, and linguistic rules to interpret text from various sources such as documents, social media, and customer feedback. It provides features for uncovering patterns, identifying key topics and relationships, and parsing sentiment within large text collections. The software assists in automating the categorization and organization of textual information, addressing business challenges related to information discovery, compliance, and customer understanding. Its capabilities include text parsing, entity recognition, and flexible model building to support analytical workflows and decision making across industries.