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Top 50 Natural Language Processing Software Companies With $1M–$5M Revenue (August 2026)

As of August 2026, Latka tracks 498 natural language processing software companies with $1M–$5M in annual revenue. They have combined revenues of $1.1B and employ 10K people. They have raised $397.8M and serve 1.4B 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
498
Revenue
$1.1B
Funding
$397.8M
Employees
10K

Filters

Sorting: Highest -> Lowest

Filters

Top Natural Language Processing Software Companies With $1M–$5M Revenue

Showing 10 of 498 companies ranked by annual revenue.

1Propel PRM logo
Propel PRM

Tel Aviv, Israel

Provider of a PR productivity platform intended to increase PR agency productivity, retention and profitability. The company's platform uses CRM, pitching tools and market insights to send personalized pitches quicker, receive insights with AI and analytics, centralize media operations, narrow media lists to pitch relevant ideas and capture new market opportunities, clients to capture data-driven information about their target markets, get insights into big data analytics, improve team performance and helps them organize and track their PR efforts and find the right influencers to target.

Revenue
$5M
Year founded
2018
Funding
$6M
Team size
20
2StartDate logo
StartDate

Dallas-Fort Worth, Texas, United States

StartDate created the latest AI proprietary technology that analyzes the unstructured text between job descriptions and CV's and displays a ranked and optimized output. Their PoweredBy product provides a fun playground to try and see the AI work in real time.

Revenue
$5M
Team size
4
3Virtuals Protocol logo
Virtuals Protocol

United States

AIXBT is an AI agent and driven crypto market intelligence platform designed to provide token holders with a strategic edge in the rapidly evolving crypto space. Leveraging advanced narrative detection and alpha-focused analysis, AIXBT automates the process of tracking and interpreting market trends, helping users gain actionable insights. This project emphasizes integrating various data sources and platforms for comprehensive analysis and decision-making.

Revenue
$5M
Team size
45
4amptalk logo
amptalk

渋谷, 東京, Japan

amptalkはオンライン商談を自動で書き起こし、解析するセールスイネーブルメントツールです | amptalk is a sales enablement tool that automatically captures recorded sales calls on Zoom, transcribes the conversation, and analyzes the content.

Revenue
$4.8M
Year founded
2020
Team size
44
5Stream logo
Stream

San Francisco, California, United States

AI-Powered Medical Document Review for Workers' Comp

Revenue
$4.8M
Year founded
2022
Team size
32
6Allisone.ai logo
Allisone.ai

Paris, Île-de-France, France

Patient comprehension is one of the key factors to building patient trust and boosting treatment plan adherence. Allisone.ai is a tool used by dentists to communicate effectively with their patients in a fun, educational and visual way. By visualizing the problems, understanding the stakes and being engaged in the treatment plan, patients engage faster in their oral health. 🦷 You are a dentist and are curious to understand how Artificial Intelligence will contribute to a better patient comprehension ? Check out our website and book a demo on : www.allisone.ai

Revenue
$4.7M
Year founded
2021
Team size
43
7PLANET AI logo
PLANET AI

Rostock, Mecklenburg-Vorpommern, Germany

Als Softwarehersteller spezialisiert sich PLANET AI auf die Automatisierung von dokumentenbasierten Geschäftsprozessen. Die IDA-Plattform nutzt modernste KI...

Revenue
$4.7M
Year founded
2015
Team size
43
8Lexroom.ai logo
Lexroom.ai

Milan, Lombardy, Italy

Legal professionals spend up to 70% of their time on repetitive, low-value tasks. Lexroom. ai provides them with the superpowers to change that. Our AI -powered...

Revenue
$4.7M
Year founded
2023
Team size
43
9Kira Systems logo
Kira Systems

Toronto, Ontario, Canada

Kira Systems helps enterprises uncover relevant information from their contracts. Our easy-to-use machine learning software requires no consulting engagement and no technical expertise to get started. About Kira Kira is powerful, award-winning software that excels at searching and analyzing contract text. Kira offers pre-built, machine learning models covering due diligence, general commercial, corporate organization, real estate and compliance. Using Kira Quick Study, anyone can train additional models that can accurately identify virtually any desired clause. Kira can be deployed on virtual data rooms and other large repositories of contracts, creating summary analyses within minutes. Customers, who include some of the world's largest corporations and professional services firms, have trusted Kira on hundreds of billions of dollars of transactions to date. They also deploy Kira for knowledge management, contract search, analytics, and other use cases where visibility into contract provisions is critical. More at https://kirasystems.com

Revenue
$4.6M
Year founded
2011
Team size
42
10Golem.ai logo
Golem.ai

Paris, Île-de-France, France

Golem. ai is a French AI Deeptech specialized in intelligent messages processing solutions using natural language technology. We boast an ethical vision to AI including an explainable, transparent, and frugal approach.

Revenue
$4.6M
Year founded
2016
Team size
42

Frequently asked questions about Natural Language Processing Software Companies With $1M–$5M Revenue

How many natural language processing software companies with $1M–$5M in annual revenue are there?

Latka tracks 498 natural language processing software companies with $1M–$5M in annual revenue. Together they generate $1.1B in annual revenue and employ 10K people.

Which natural language processing software company with $1M–$5M in annual revenue is the largest?

Propel PRM is the largest, with $5M in annual revenue, founded in 2018.

How much revenue does a typical natural language processing software company with $1M–$5M in annual revenue make?

The average natural language processing software company in this list makes $2.2M a year, across 498 companies with reported revenue. They serve 1.4B customers combined.

Who are the leading Natural Language Processing software vendors with $1M–$5M in annual revenue?

Ranked by annual revenue, the leaders are Propel PRM, StartDate, Virtuals Protocol, amptalk and Stream.

How much funding have natural language processing software companies with $1M–$5M in annual revenue raised?

The 498 natural language processing software companies with $1M–$5M in annual revenue tracked here have raised $397.8M 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.