Latka logo

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 657 companies ranked by annual revenue.

1Castmagic logo
Castmagic

Henderson, Nevada, United States

Turn conversations into content, like magic. Castmagic is the most powerful AI content tool for podcasts & long form audio. Instantly generate transcripts, guest bios, timestamps, key takeaways, top quotes, blog posts, tweet threads, newsletters & more ✨

Revenue
$1M
Customers
-
Year founded
2023
Funding
-
Team size
7
Growth
-
2Vectorize logo
Vectorize

Boulder, Colorado, United States

Vectorize is an innovative company that provides AI-powered solutions designed to enhance the processing of unstructured data and improve the efficiency of enterprise operations. It offers tools for data ingestion, vector search, and deep research applications.

Revenue
$1M
Customers
-
Year founded
2023
Funding
-
Team size
7
Growth
-
3Vibe AI logo
Vibe AI

San Francisco, California, United States

Vibe Shopping is building the building the AI Shopping Search Engine for the Video-First World - Powered by Multimodel LLMs.

Revenue
$1M
Customers
-
Year founded
2024
Funding
-
Team size
7
Growth
-
4Chatter logo
Chatter

Philadelphia, Pennsylvania, United States

Dead simple LLM testing and iteration

Revenue
$1M
Customers
-
Year founded
2023
Funding
-
Team size
7
Growth
-
5Paragon AI logo
Paragon AI

San Francisco, California, United States

Turns your sales calls into CRM data, automatically.

Revenue
$1M
Customers
-
Year founded
2022
Funding
-
Team size
5
Growth
-
6outloud.ai logo
outloud.ai

Miami, Florida, United States

Building Gong.io for offline retail.

Revenue
$1M
Customers
-
Year founded
2020
Funding
-
Team size
5
Growth
-
7Rejoy Health logo
Rejoy Health

Palo Alto, California, United States

AI tools and LLM for Healthcare

Revenue
$1M
Customers
-
Year founded
2021
Funding
-
Team size
6
Growth
-
8Promoted.ai logo
Promoted.ai

San Francisco, California, United States

Dramatically better search and ads for marketplaces

Revenue
$1M
Customers
-
Year founded
2020
Funding
-
Team size
15
Growth
-
9HyperGlue logo
HyperGlue

California, United States

Business intelligence on text

Revenue
$1M
Customers
-
Year founded
2020
Funding
-
Team size
5
Growth
-
10Amura Ventures SL logo
Amura Ventures SL

Marratxinet, Spain

AudioBriefs is an innovative application designed to simplify your conversations on WhatsApp Web. With this tool, you can easily transform audio messages into text, making it easier to understand and manage your conversations.

Revenue
$1M
Customers
-
Year founded
-
Funding
-
Team size
-
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