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Top 1,474 Natural Language Processing (NLP) Software SaaS Companies in July 2026

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.

Companies
1,474
Revenue
$82B
Funding
$250.1B
Employees
82.6K

Filters

Sorting: Highest -> Lowest

Filters

Top Natural Language Processing (NLP) Software Companies

Showing 10 of 173 companies ranked by annual revenue.

1Otter.ai logo
Otter.ai

Mountain View, California, United States

With over 1 billion meetings captured, Otter.ai is the world’s leading AI Meeting Assistant. It provides teams everywhere with real-time automated meeting notes, summaries, and action items from in-person and virtual meetings. Otter AI Chat turns meetings into accessible and actionable information that can be shared across teams and organizations to increase collaboration and productivity.

Revenue
$100M
Customers
-
Year founded
2014
Funding
-
Team size
200
Growth
-
2Speak logo
Speak

San Francisco, California, United States

A superhuman, AI-powered language tutor in your pocket

Revenue
$100M
Customers
-
Year founded
2016
Funding
$141M
Team size
253
Growth
566.67%
3Omni Jobs. logo
Omni Jobs.

United States

OmniJobs analyses and categorises open job ads using AI so that anyone can find matching positions in seconds, regardless of their location or profession. Currently we list over +180K open jobs from +15K companies globally.

Revenue
$100M
Customers
-
Year founded
-
Funding
-
Team size
1
Growth
-
4Patsnap (UK) Ltd. logo
Patsnap (UK) Ltd.

London, England, United Kingdom

Patsnap Eureka uses AI that goes beyond simple keyword matching to deliver search results. Validate your ideas and identify potential roadblocks before you invest time and resources. Regardless of your expertise, our collaborative tool makes it easy for teams to work together seamlessly.

Revenue
$100M
Customers
-
Year founded
-
Funding
-
Team size
510
Growth
-
5Nanonets logo
Nanonets

San Francisco, United States

Nanonets leverages advanced OCR and Deep Learning technology to efficiently extract relevant information from unstructured text and documents. It enables the digitization of documents, extraction of specific data fields, and facilitates integration with everyday applications through APIs, all within a simple and intuitive interface. This technology significantly streamlines manual processes by automating tasks such as invoice, receipt, and document reviews. It notably reduces processing time by up to 90% and can save up to 50% on costs.

Revenue
$100M
Customers
-
Year founded
2017
Funding
-
Team size
101
Growth
150%
6SirionLabs logo
SirionLabs

Bellevue, Washington, United States

enterprise contract management software

Revenue
$85M
Customers
500
Year founded
2012
Funding
$146M
Team size
1K
Growth
-
7Unbabel logo
Unbabel

San Francisco, California, United States

language translation platform

Revenue
$84.4M
Customers
500K
Year founded
2013
Funding
$91.2M
Team size
799
Growth
-
8Writer logo
Writer

San Francisco, California, United States

Sure, here is a revised version of the description: Writer is the AI writing assistant designed for smart content teams. We assist content leaders in scaling their messaging, refining their communication style, and perfecting essential language elements, regardless of the writer's proficiency level. Leading companies such as Twitter, Intuit, and UiPath have chosen Writer to streamline and standardize their content creation processes.

Revenue
$84M
Customers
-
Year founded
2020
Funding
$326M
Team size
2.3K
Growth
-
9Cbinsights logo
Cbinsights

New York, New York, United States

CB Insights is a technology market intelligence platform that provides data-driven insights, analytics, and research to businesses and investors. The company, founded in 2009 and based in New York City, tracks and analyzes trends in a variety of industries, including healthcare, fintech, artificial intelligence, and more. CB Insights uses machine learning and natural language processing to collect and analyze data from a variety of sources, including news articles, patents, and social media, to help its clients make informed decisions about investments, market opportunities, and strategic partnerships.

Revenue
$79.8M
Customers
500
Year founded
2008
Funding
$11.7M
Team size
271
Growth
-
10AISpeech logo
AISpeech

Jiangshan, Zhejiang, China

Developer of an end-to-end spoken dialogue system technology designed to improve human-machine interaction. The company's spoken dialogue system technology helps in speech recognition, speech synthesis, natural language understanding and voice-print recognition, enabling clients to access natural language interactive services.

Revenue
$78M
Customers
-
Year founded
2008
Funding
$186.5M
Team size
119
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.

Natural Language Processing (NLP) Software SaaS Companies | GetLatka