1
iSON Xperiences - Smarter Empathic AI
Dubai, Dubai, United Arab Emirates
AI Transformed. Empathy Enabled.
- Revenue
- $1.4B
- Year founded
- 2011
- Team size
- 12.7K
Top 50 Natural Language Understanding Software Companies (September 2026)
As of September 2026, Latka tracks 116 natural language understanding software companies. They have combined revenues of $2.9B and employ 16.2K people. They have raised $2.3B and serve 600.1K 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
- 116
- Revenue
- $2.9B
- Funding
- $2.3B
- Employees
- 16.2K
Filters
Sorting: Highest -> Lowest
Top Natural Language Understanding Software Companies by revenue
Showing 10 of 116 companies ranked by annual revenue.
2
Mercor
San Francisco, California, United States
Our AI vetting identifies the best people in the world for a specific role. For example, our AI interviewer joins a video call and has a real-time conversation based on full context about a candidate's background.
- Revenue
- $1B
- Year founded
- 2023
- Funding
- $485.6M
- Team size
- 200
- Growth
- 100%
3
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
4
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%
5
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
6
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
7
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
8
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
9
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
10
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
Frequently asked questions about Natural Language Understanding Software Companies
How many natural language understanding software companies are there?
Latka tracks 116 natural language understanding software companies with reported revenue. Together they generate $2.9B in annual revenue and employ 16.2K people.
Which natural language understanding software company is the largest?
iSON Xperiences - Smarter Empathic AI is the largest, with $1.4B in annual revenue, founded in 2011.
How much revenue does a typical natural language understanding software company make?
The average natural language understanding software company in this list makes $24.6M a year, across 116 companies with reported revenue. They serve 600.1K customers combined.
Who are the leading Natural Language Understanding software vendors?
Ranked by annual revenue, the leaders are iSON Xperiences - Smarter Empathic AI, Mercor, Omilia, Sanas and Acqueon.
How much funding have natural language understanding software companies raised?
The 116 natural language understanding software companies tracked here have raised $2.3B in disclosed funding between them.
Related Artificial Intelligence Software categories
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.