As of July 2026, there are 1,474 SaaS companies in Natural Language Processing (NLP) Software. They have combined revenues of $82B and employ 82.6K people. They have raised $250.1B and serve 1.5B customers combined.
Natural Language Processing (NLP) Software refers to technology that enables computers to comprehend, interpret, and generate human language in a valuable manner. This category of software applies various techniques from artificial intelligence and linguistics to allow machines to interact with text and speech data effectively. Common use cases include sentiment analysis, language translation, chatbots, and automated content generation, making NLP tools vital in customer service, marketing, and data analysis sectors. The primary features of NLP software often include text parsing, language understanding, emotion detection, and machine learning capabilities to improve interaction over time. Typical users of NLP software range from data scientists and software developers to business analysts and marketing professionals who seek to leverage language data for insights or enhance user experiences. As organizations increasingly rely on data-driven decision-making, NLP software has become essential in bridging the gap between human communication and machine processing.
Sorting: Highest -> Lowest
Showing 10 of 512 companies ranked by annual revenue.
Sao Paulo, Sao Paulo, Brazil
Developer of an analytical platform intended for the corporate legal department. The company's platform uses artificial intelligence to detect the trends of the judiciary in-depth, enabling clients to reduce costs, risks and increasing the level of predictability of legal liabilities.
United States
SEO Content Machine Revolutionize content creation with AI-Powered prompt automation and web-scraping tools, an AI-Powered tool that could scrape data from existing content and whip up dynamic prompts like magic!
Marietta, Ohio, United States
Spoken is an app designed for teens and adults unable to use their voice due to nonverbal autism, aphasia, and other communication challenges. It uses AI to make intelligent predictions about what the user wants to say based on their past speech.
San Francisco, California, United States
AI for market research and analysis on spreadsheets
Chapel Hill, North Carolina, United States
Advanced NLP and text mining techniques are applied to customer review data across your marketplace to extract both strategic and granular insights that drive product decisions
San Francisco, California, United States
Text Analysis and Machine Learning made easy. Get started for free!
Madison, Wisconsin, United States
Developer of an enterprise search chat bot designed to synthesize data from multiple sources on demand. The company's platform simplifies the enterprise search process by removing the need for coding skills, enabling business professionals to access multiple data sources via a customizable chatbot.
- Must enable understanding and processing of human language in text or speech formats. - Should include features for text analysis, such as sentiment analysis and language translation. - Must facilitate automated responses or interactions, like chatbots or virtual assistants. - Should support machine learning techniques to improve accuracy over time. - Not just focused on simple keyword extraction; must also provide deeper context understanding.
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