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Top 12 Natural Language Understanding Software Companies With $10M–$100M Revenue (September 2026)

As of September 2026, Latka tracks 12 natural language understanding software companies with $10M–$100M in annual revenue. They have combined revenues of $299.8M and employ 1.9K people. They have raised $106.6M and serve 45 customers combined.

Every company below sells natural language understanding 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 Understanding Software Companies do

Natural Language Understanding (NLU) software is a subset of artificial intelligence that enables machines to comprehend and interpret human language in a meaningful way. This technology is crucial for applications that require interaction between computers and humans, such as chatbots, virtual assistants, and sentiment analysis tools. By processing and analyzing language data, NLU systems convert unstructured text and speech into structured data that machines can understand. Typical features of NLU software include intent recognition, entity extraction, sentiment analysis, and language translation. These systems often leverage machine learning models to continuously improve their interactions based on user input. Common buyer personas for NLU solutions include IT professionals looking to enhance customer service interfaces, product managers seeking to integrate advanced communication capabilities, and data analysts aiming to extract actionable insights from textual data sources.

Companies
12
Revenue
$299.8M
Funding
$106.6M
Employees
1.9K

Filters

Sorting: Highest -> Lowest

Filters
Revenue
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Top Natural Language Understanding Software Companies With $10M–$100M Revenue

Showing 10 of 12 companies ranked by annual revenue.

1Omilia logo
Omilia

Larnaca, Larnaca, Cyprus

At Omilia we are engaged to provide the most human-like human-to-machine communication experiences and technologies in order to help large enterprises improve the customer care experience. Starting out of a small garage, Omilia is now serving 1 billion conversations, in 30 languages, across 17 countries. With one of the fastest growing NLU solutions in the market, Omilia has been recognized as a Leader in the 2022 Gartner® Magic Quadrant™ for Enterprise Conversational AI Platforms, as well as in the IDC Marketscape for Worldwide Conversational AI Software Platforms for Customer Service 2021. Our technology allows the enterprise to take advantage of Open-Question customer care with end-to-end Self-Service to greatly improve customer experience and significantly decrease operational costs. In 2016 Omilia expanded to USA and Canada, counting 33 full production deployments worldwide and case studies with proven KPIs and ROIs across various industries.

Revenue
$55.8M
Year founded
2002
Team size
372
2Sanas logo
Sanas

Palo Alto, California, United States

We're the world's first real-time speech understanding platform. Our AI-powered technology is designed to revolutionize communication by giving multilingual speakers a choice when it comes to how they communicate. It's a step towards empowering individuals, advancing equality, and deepening empathy. Our mission is to build a more understanding world.

Revenue
$50M
Customers
45
Year founded
2019
Funding
$102.5M
Team size
295
Growth
50.51%
3Acqueon logo
Acqueon

Irving, Texas, United States

Acqueon leads the way as the premier Generative AI-powered Revenue Execution Platform, specializing in outbound communications tailored to empower B2C enterprises in regulated and non-regulated industries in achieving their revenue generation goals and revenue recovery objectives. Covering a range of essential use cases including Collections, Internet Sales, Telephone Sales, Proactive Service, Reminders, Outage Notifications, and Appointment Management, Acqueon enables customers to elevate sales performance and enhance customer satisfaction. We achieve this through the automation of communication workflows, optimizing human resources, utilizing predictive analytics and AI for strategic customer engagement, ensuring compliance with privacy and communication regulations, and seamlessly integrating with existing communications infrastructure and record systems. With more than 110,000 agents and 200 global customers placing their trust in Acqueon, businesses experience increased revenue outcomes while fostering lasting, loyal customer relationships.

Revenue
$30.8M
Year founded
2019
Team size
280
4expert.ai logo
expert.ai

Rockville, Maryland, United States

expert.ai is a company that offers a hybrid natural language artificial intelligence platform. They provide knowledge models, answers, and professional services to help businesses leverage AI technology. Their platform is designed to understand and analyze human language, enabling organizations to extract valuable insights from unstructured data.

Revenue
$29.8M
Year founded
2010
Team size
258
5Ollang logo
Ollang

San Francisco, California, United States

Multilingual, multimodal, multi-agent systems for localization

Revenue
$29.4M
Year founded
2020
Funding
$1.5M
Team size
267
6Alphy, Inc. logo
Alphy, Inc.

Middletown, Delaware, United States

Upload an audio file or submit a link for a YouTube or Twitter video, Twitter Space, Apple Podcast, or Twitch recordings, and you can: - Get a transcript with 99% accuracy. - Save time with timestamped detailed summaries and key takeaways. - Ask further questions to the AI assistants that will answer your questions based on the transcript. - Create your own AI assistant with hundreds of hours of content. Alphy also provides a complete AI extension for YouTube search.

Revenue
$20M
Team size
4
7AnswerRocket logo
AnswerRocket

Atlanta, Georgia, United States

Self-service analytics for business users. Get analytics quickly with our easy-to-use interface. Natural language questions are answered as data visualizations.

Revenue
$19.1M
Year founded
2013
Team size
39
8Salesbox AI logo
Salesbox AI

New York, NY, United States

Drive Pipeline & Revenue Growth using SalesboxAI’s Intent-based Conversational ABM Platform & Programs

Revenue
$18.8M
Year founded
2014
Team size
125
9Agent Inbox UI logo
Agent Inbox UI

San Francisco, California, United States

Web app for human-in-the-loop interactions with AI agents in LangGraph applications

Revenue
$14M
Team size
127
10Wird logo
Wird

Santiago, Chile

Understand, in real time, your clients’ reality to give them the best experience

Revenue
$11.2M
Year founded
2011
Funding
$1.7M
Team size
40

Frequently asked questions about Natural Language Understanding Software Companies With $10M–$100M Revenue

How many natural language understanding software companies with $10M–$100M in annual revenue are there?

Latka tracks 12 natural language understanding software companies with $10M–$100M in annual revenue. Together they generate $299.8M in annual revenue and employ 1.9K people.

Which natural language understanding software company with $10M–$100M in annual revenue is the largest?

Omilia is the largest, with $55.8M in annual revenue, founded in 2002.

How much revenue does a typical natural language understanding software company with $10M–$100M in annual revenue make?

The average natural language understanding software company in this list makes $25M a year, across 12 companies with reported revenue. They serve 45 customers combined.

Who are the leading Natural Language Understanding software vendors with $10M–$100M in annual revenue?

Ranked by annual revenue, the leaders are Omilia, Sanas, Acqueon, expert.ai and Ollang.

How much funding have natural language understanding software companies with $10M–$100M in annual revenue raised?

The 12 natural language understanding software companies with $10M–$100M in annual revenue tracked here have raised $106.6M in disclosed funding between them.

Related Artificial Intelligence Software categories

All Artificial Intelligence Software SaaS categoriesEvery category we track inside Artificial Intelligence Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from Natural Language Understanding to everything else.

Inclusion Criteria

- Software must enable understanding and interpretation of human language. - Must include capabilities for intent recognition and entity extraction. - Should offer sentiment analysis as a standard feature. - Must support integration with user-facing applications like chatbots or virtual assistants. - Not just focused on text processing; must also handle spoken language inputs. - Must provide analytics or reporting features for usage insights.