- Revenue
- $85M
- Customers
- 500
- Year founded
- 2012
- Funding
- $146M
- Team size
- 1K
Top 50 Natural Language Processing Software Companies With $10M–$100M Revenue (August 2026)
As of August 2026, Latka tracks 168 natural language processing software companies with $10M–$100M in annual revenue. They have combined revenues of $4.3B and employ 32.8K people. They have raised $8.8B and serve 7.1M customers combined.
Every company below sells natural language processing software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Natural Language Processing Software Companies do
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
- 168
- Revenue
- $4.3B
- Funding
- $8.8B
- Employees
- 32.8K
Filters
Sorting: Highest -> Lowest
Top Natural Language Processing Software Companies With $10M–$100M Revenue
Showing 10 of 168 companies ranked by annual revenue.
- Revenue
- $84.4M
- Customers
- 500K
- Year founded
- 2013
- Funding
- $91.2M
- Team size
- 799
3
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
- Year founded
- 2020
- Funding
- $326M
- Team size
- 2.3K
4
Cbinsights
New York, New York, United States
CB Insights is a technology market intelligence platform founded in 2008 and commonly cited as launched in 2009. The company, headquartered in New York, aggregates qualitative and quantitative data on the technology economy to connect technology companies with advisers, investors, acquirers, and customers. CB Insights reached approximately $100 million in annual recurring revenue as of 2023, a milestone CEO Anand Sanwal referenced publicly during a conference presentation that year. The company raised a $10 million Series A in 2015 led by Pilot Growth Equity, with participation from the National Science Foundation and angel investors, bringing total known funding to between $11.7 million and $16.2 million. Sanwal has led the company since its founding, bootstrapping through the early years and selling the first several million dollars of subscriptions himself. CB Insights operates without a PR firm at the $100 million ARR level and relies heavily on its newsletter as a primary growth channel.
- Revenue
- $79.8M
- Customers
- 500
- Year founded
- 2008
- Funding
- $11.7M
- Team size
- 271
5
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
- Year founded
- 2008
- Funding
- $186.5M
- Team size
- 119
6
ASAPP
New York, NY, United States
Our artificial intelligence and machine learning products deliver automation and human augmentation, allowing individuals and organizations to realize their full potential. Today, the world's largest organizations rely on ASAPP to provide amazingly efficient and effective customer experiences through their Contact Centers. Our Research & Development team is unparalleled, driving the advancement of AI, machine learning, speech recognition, robotic process automation, natural language processing and more. If you are interested in working with us, please send an email to [email protected]. If you're interested in learning about our job opportunities, please reach out at [email protected].
- Revenue
- $73.5M
- Year founded
- 2014
- Funding
- $312.6M
- Team size
- 402
- Growth
- 15.84%
7
SmarterDx
New York, New York, United States
SmarterDx builds clinical AI that empowers hospitals to review 100% of patient charts, appeal every denial, and achieve their full revenue integrity potential.
- Revenue
- $71M
- Year founded
- 2020
- Team size
- 214
8
Laiye
Beijing, China
Laiye is the pioneer of the Work Execution System, a business and technology framework built around synergy between human and digital workers. Laiye’s software brings together in one platform the disparate tools businesses use to carry out digital tasks, such as Intelligent Document Processing(IDP), Conversational AI, Process Mining, Intelligent Automation and others. In addition, Large Language Models and Foundation Models will be leveraged in the design and use-case creation process, which will speed up development and time to value for customers. Built on the premise of an open ecosystem, Laiye helps businesses optimize the technologies they already have in place. Laiye is the first company in its industry to commit to returning 100% of licence fees should agreed business outcomes not be achieved. Learn more: www.laiye.com/en
- Revenue
- $70.2M
- Year founded
- 2015
- Team size
- 468
9
stackoverflow.ai
New York, NY, United States
stackoverflow.ai is an AI-powered search and discovery tool designed to modernize the Stack Overflow experience by helping developers get answers instantly, learn along the way and provide a path into the community.
- Revenue
- $67.4M
- Year founded
- 2008
- Team size
- 613
10
Constructor.io
San Francisco, California, United States
AI-first search and product discovery that increases conversions and revenue.
- Revenue
- $65.1M
- Year founded
- 2015
- Funding
- $61.1M
- Team size
- 619
Frequently asked questions about Natural Language Processing Software Companies With $10M–$100M Revenue
How many natural language processing software companies with $10M–$100M in annual revenue are there?
Latka tracks 168 natural language processing software companies with $10M–$100M in annual revenue. Together they generate $4.3B in annual revenue and employ 32.8K people.
Which natural language processing software company with $10M–$100M in annual revenue is the largest?
SirionLabs is the largest, with $85M in annual revenue, founded in 2012.
How much revenue does a typical natural language processing software company with $10M–$100M in annual revenue make?
The average natural language processing software company in this list makes $25.3M a year, across 168 companies with reported revenue. They serve 7.1M customers combined.
Who are the leading Natural Language Processing software vendors with $10M–$100M in annual revenue?
Ranked by annual revenue, the leaders are SirionLabs, Unbabel, Writer, Cbinsights and AISpeech.
How much funding have natural language processing software companies with $10M–$100M in annual revenue raised?
The 168 natural language processing software companies with $10M–$100M in annual revenue tracked here have raised $8.8B in disclosed funding between them.
Related Artificial Intelligence Software categories
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.