- Revenue
- $5M
- Customers
- -
- Year founded
- 2022
- Funding
- -
- Team size
- 10
- Growth
- -
Top 1,474 Natural Language Processing (NLP) Software SaaS Companies in May 2026
As of May 2026, there are 1,474 SaaS companies in Natural Language Processing (NLP) Software. They have combined revenues of $39.8B and employ 93.2K people. They have raised $58.9B 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.
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Top Natural Language Processing (NLP) Software Companies
Showing 10 of 511 companies ranked by annual revenue.
2
SEO Content Machine
, , 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!
- Revenue
- $5M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- -
- Growth
- -
3
Spoken Inc.
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.
- Revenue
- $5M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 4
- Growth
- -
- Revenue
- $5M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 25
- Growth
- -
5
i-Genie.ai
Roswell, Georgia, United States
i-Genie's AI consumer insights platform empowers leading brands and retailers like Kenvue, Unilever, Bayer, Clorox and Coca-Cola to identify the ‘Next Big Thing’ - faster, cheaper AND better. The world today is inundated with data, and yet insights are as hard as ever to distill from all the noise. Consumers are constantly talking about you, but not necessarily to you. i-Genie synthesizes billions of searches, social and video posts, ratings and reviews and market data into intuitive data dashboards wrapped with Presto, a GenAI copilot that lets you ask any question and ... Presto, you have the answer. With i-Genie, executives, analysts and insights professionals can say to their internal stakeholders "I have the answers. What is your question?" i-Genie empowers brands and retailers: 1. Spot product, ingredient and benefit trends 4-6 months earlier 2. Monitor Brand Health continuously, cost-effectively and in time to react 3. Benchmark product performance vs competition at SKU level and by retailer 4. Identify, qualify and size breakthrough innovation ideas, increasing product success rates and reducing innovation cycles from 12-18 months to 2-3 weeks. 5. All in an all-access AI data platform with data dashboards, robust data exports, and easy to use GenAI copilots More powerful and detailed data from true voice of the customer. Faster decision cycles. Less expensive than surveys, focus groups and last century techniques. Unlimited seats and access to democratize insights across the org. i-Genie is AI - Augmented Intelligence - democratizing powerful consumer insights to enable brands and retailers to identify their “Next Big Thing.”
- Revenue
- $5M
- Customers
- -
- Year founded
- 2022
- Funding
- $18.6M
- Team size
- 23
- Growth
- -
6
ChatLabs
Manhattan, New York, United States
ChatLabs offers an AI-powered social experience platform that helps brands engage social native audiences. It specializes in integrating cloud services and building personalized and engaging digital experiences throughout the entire customer lifecycle.
- Revenue
- $5M
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 41
- Growth
- -
7
Legal Insights
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.
- Revenue
- $5M
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 8
- Growth
- 784.96%
8
MonkeyLearn
San Francisco, California, United States
Text Analysis and Machine Learning made easy. Get started for free!
- Revenue
- $5M
- Customers
- -
- Year founded
- 2014
- Funding
- -
- Team size
- 4
- Growth
- -
9
PromptLoop
San Francisco, California, United States
AI for market research and analysis on spreadsheets
- Revenue
- $5M
- Customers
- -
- Year founded
- 2022
- Funding
- -
- Team size
- 3
- Growth
- -
10
- Revenue
- $5M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 17
- Growth
- -
Inclusion Criteria
- 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.