- Revenue
- $996K
- Customers
- 30
- Year founded
- 2010
- Funding
- $3.1M
- Team size
- 21
Top 50 Natural Language Processing Software Companies Under $1M Revenue (August 2026)
As of August 2026, Latka tracks 636 natural language processing software companies under $1M in annual revenue. They have combined revenues of $295.9M and employ 3K people. They have raised $206.4M and serve 1.4M 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
- 636
- Revenue
- $295.9M
- Funding
- $206.4M
- Employees
- 3K
Filters
Sorting: Highest -> Lowest
Top Natural Language Processing Software Companies Under $1M Revenue
Showing 10 of 636 companies ranked by annual revenue.
France
We are a French-based early-stage startup developing a cutting-edge product on top of modern technologies. We aim at removing biases in the news industry, helping publishers and brands to combat misinformation. Facing the increasing exposure of the general public to misinformation and the resulting distrust in media, we ambition to act as a safe harbor for those companies. Our product helps publishers and brands understand what the content is made of – through content auditing and analytics – and provides them with all the actionable recommendations to improve their content production and business strategies.
- Revenue
- $994.1K
- Year founded
- 2019
- Funding
- $2.3M
- Team size
- 3
Mesa, New Jersey, United States
Designed as an extension, Taskified pops up in the corner of your screen, allowing you to read and send emails on the go. Furthermore, it uses AI to draft and summarize your emails, and automatically divides them into separate categories.
- Revenue
- $990K
- Team size
- 9
Hamburg, Germany
At nexamind we build complex RAG applications for companies. The biggest challenge is a robust & scalable way to extract data from unstructured PDF documents. That is why we crafted nexaPDF.
- Revenue
- $990K
- Team size
- 9
San Francisco, California, United States
Spur is your AI QA Engineer. Test your websites with natural language.
- Revenue
- $990K
- Year founded
- 2024
- Team size
- 9
- Revenue
- $990K
- Year founded
- 2023
- Team size
- 9
United States
Crab is a comprehensive framework designed by Camel AI for building and benchmarking environments tailored for large language model (LLM) agents. The platform supports the creation of cross-platform environments, allowing for deployment across in-memory systems, Docker-hosted environments, virtual machines, or distributed physical machines. Crab provides an easy-to-use Python-centric interface for defining agent environments and actions, making it flexible for various use cases. Additionally, it includes a novel benchmarking suite that provides fine-grained evaluation metrics.
- Revenue
- $990K
- Year founded
- 2023
- Team size
- 9
United States
Linkup is a search engine that empowers AI agents to seamlessly connect to the Internet. Our API enables AI systems to efficiently search and retrieve high-quality information from the web and exclusive premium content sources we partner with. Through integrations with trusted data partners, Linkup delivers superior search results with greater reliability and formats optimized specifically for large language models (LLMs). Linkup is used by AI developers to integrate fast, reliable, and fully compliant access to real-time data into their agentic workflows, enabling scalable and efficient Retrieval Augmented Generation (RAG) processes over the Internet.
- Revenue
- $990K
- Team size
- 9
Santa Barbara, California, United States
Musubi's AiMod is a first-of-its-kind trust & safety solution built on adaptive AI to defend online communities from scam, spam, and fraud. Rather than leverage general-purpose risk models, Musubi implements customer-specific AI models that use advanced AI and machine learning techniques, including large language models (LLMs) and generative AI, to understand complex behavioral signals and content patterns of malicious users. This allows Musubi to proactively identify and mitigate a wide range of issues, including spam, scams, fraud, hate speech, harassment, and age-inappropriate content.
- Revenue
- $990K
- Year founded
- 2023
- Team size
- 9
San Francisco, California, United States
Tabby is an open-source, self-hosted AI coding assistant that provides developers with a powerful alternative to GitHub Copilot. It allows teams to set up their own language model-powered code completion server without relying on external databases or cloud services. Tabby is designed for ease of integration with existing development environments through an OpenAPI interface and supports consumer-grade GPUs for enhanced performance. Its features include intelligent code suggestions, auto-completion, and natural language interactions, significantly boosting productivity for software development teams.
- Revenue
- $990K
- Year founded
- 2023
- Team size
- 9
Frequently asked questions about Natural Language Processing Software Companies Under $1M Revenue
How many natural language processing software companies under $1M in annual revenue are there?
Latka tracks 636 natural language processing software companies under $1M in annual revenue. Together they generate $295.9M in annual revenue and employ 3K people.
Which natural language processing software company under $1M in annual revenue is the largest?
Keatext is the largest, with $996K in annual revenue, founded in 2010.
How much revenue does a typical natural language processing software company under $1M in annual revenue make?
The average natural language processing software company in this list makes $465.2K a year, across 636 companies with reported revenue. They serve 1.4M customers combined.
Who are the leading Natural Language Processing software vendors under $1M in annual revenue?
Ranked by annual revenue, the leaders are Keatext, Buster.AI, Taskified.co, nexaPDF and Spur Dev.
How much funding have natural language processing software companies under $1M in annual revenue raised?
The 636 natural language processing software companies under $1M in annual revenue tracked here have raised $206.4M 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.