1
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
- -
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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Sorting: Highest -> Lowest
Top Natural Language Processing (NLP) Software Companies
Showing 10 of 657 companies ranked by annual revenue.
2
Greptile
San Francisco, California, United States
AI expert on your codebase that you can query via an API
- Revenue
- $1M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 6
- Growth
- -
3
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
- -
- Revenue
- $1M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 5
- Growth
- -
- Revenue
- $1M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 5
- Growth
- -
6
Decouple
Pune, Maharashtra, India
What is Decouple.live? An AI-powered platform that automatically generates real-time highlights and clips from live news feeds. It transforms how live news feeds are processed into ready-to-publish social clips on autopilot. A) Instantly generate real-time highlights with AI analysis of live news streams. B) Auto-create metadata: Titles, descriptions, and hashtags optimized for social platforms. C) Seamlessly resize clips into horizontal, square, or vertical formats — no manual editing. D) Publish or schedule clips directly to YouTube, Instagram, and more. Why it Matters? With Decouple.live, digital teams of news channels can: 1. Publish 10X more clips in 1/10th of the time. 2. Save up to 90% of the effort required in traditional workflows. 3. Amplify reach and engagement with content that’s ready for every platform.
- Revenue
- $1M
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 2
- Growth
- -
7
Pitz
Guadalajara, Jalisco, Mexico
Pitz is the AI-native platform redefining how cars get repaired in Latin America. We make auto repair faster, smarter, and fully connected — so mechanics can focus on fixing, not figuring things out. Our voice-powered software helps local repair shops diagnose problems, source compatible parts in seconds, and streamline operations — all in one place. Instead of juggling dozens of tools and suppliers, Pitz gives mechanics a single, intelligent system that just works. As mobility across LatAm modernizes, we’re building the infrastructure that will power the future of car repair — with tools that work anywhere, for anyone. Born in LatAm, built to scale globally Join us → www.pitz.com.mx
- Revenue
- $1M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 11
- Growth
- -
8
Newton Labs
Santa Clara, California, United States
Newton combines deep learning algorithms and natural language processing to help employers hire talents.
- Revenue
- $1M
- Customers
- -
- Year founded
- 2018
- Funding
- $400K
- Team size
- 42
- Growth
- -
9
Morph
San Francisco, California, United States
MorphLLM.com is the high-speed “Fast Apply” engine that merges LLM-generated edits into code and files at over 4,500 tokens per second with enterprise‑level accuracy and reliability Faster, more reliable coding agents. Powering hundreds of startups.
- Revenue
- $1M
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- -
- Growth
- -
- Revenue
- $1M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 7
- 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.