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Top 116 Natural Language Understanding (NLU) Software SaaS Companies in May 2026

As of May 2026, there are 116 SaaS companies in Natural Language Understanding (NLU) Software. They have combined revenues of $2.4B and employ 16K people. They have raised $2.3B and serve 600.1K customers combined.

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
$2.4B
Funding
$2.3B
Employees
16K

Filters

Sorting: Highest -> Lowest

Filters

Top Natural Language Understanding (NLU) Software Companies

Showing 10 of 11 companies ranked by annual revenue.

1
Robbie AI

Tulsa, Oklahoma, United States

Developer of a cloud-based emotional analytics platform created to measure and understand emotions in real-time. The company's platform combines neuroscience, cognitive technology and machine learning to understand emotions and their impact on learning, health and well-being as well as tracks, predicts and recommends customers based on relevant emotional states, enabling users to receive a new technology of artificial intelligence with empathy to improve their lives.

Revenue
$10M
Customers
-
Year founded
2017
Funding
-
Team size
16
Growth
739.56%
2
ConverSight.ai

Indianapolis, Indiana, United States

ConverSight.ai is a platform that uncovers actionable business insights for enterprises through natural language conversation.

Revenue
$9.6M
Customers
-
Year founded
2017
Funding
$7M
Team size
81
Growth
73.85%
3
Klearcom

New York, New York, United States

Klearcom is the world’s leading Customer Call Path Testing platform, assisting global organizations with real-time contact center testing. Our AI based platform will automatically analyze the full customer call path, benchmark performance and alert on every single issue through the IVR and network to the agent, using a single test. Reduce the cost and risk of downtime on both speech and DTMF based IVR’s with Klearcom. Testing includes IVR call path, regression, load and live monitoring. Schedule a demo with us today, and find out first hand why the leading organizations of the world are switching to Klearcom. www.klearcom.com

Revenue
$6.8M
Customers
-
Year founded
2016
Funding
-
Team size
62
Growth
-
4
Moments Lab

Boulogne-Billancourt, Ile-de-France, France

Moments Lab’s mission is to help content producers build videos faster. Our video discovery platform makes media content searchable to reduce the time spent sourcing the key moments required to tell a story. MXT Multimodal AI is here to address video understanding and indexing challenges, describing sequences in natural language, enabling content professionals to focus on creativity and higher-value decisions.

Revenue
$6.7M
Customers
-
Year founded
2016
Funding
$36.5M
Team size
61
Growth
-
5
Chata

Calgary, Alberta, Canada

AI-powered chatbot platform

Revenue
$6.3M
Customers
-
Year founded
2016
Funding
-
Team size
48
Growth
50.69%
6
Language I/O

Cheyenne, Wyoming, United States

Language I/O is a software development company whose products allow clients to provide multilingual customer support to their customers.

Revenue
$6.3M
Customers
-
Year founded
2011
Funding
$12M
Team size
68
Growth
-
7
RAD Intel

Venice, California, United States

RAD Intel is a technology company that revolutionizes brand engagement using advanced language models to understand audience interests and behaviors, facilitating precise content strategy and delivery. Its award-winning technology helps reduce bias, ensuring impactful messaging that maximizes content performance and marketing ROI.

Revenue
$5.5M
Customers
-
Year founded
2018
Funding
-
Team size
50
Growth
-
8
Kauz.ai

Düsseldorf, North Rhine-Westphalia, Germany

Kauz.ai ist der Anbieter vom aiStudio - der Self-Service-Plattform für die Verwaltung und das Training einfacher und komplexer KI-Assistenten. Das Unternehmen kombiniert verschiedene Large Language Modelle mit seiner eigens entwickelten NLU-(Natural Language Understanding)Engine. Durch das steuerbare Antwortverhalten der KI-Assistenten wird Künstliche Intelligenz mit Kauz.ai kontrollierbar.

Revenue
$5.1M
Customers
-
Year founded
2016
Funding
-
Team size
46
Growth
-
9
Userbot

Milan, Lombardia, Italy

Developer of an artificial intelligence software designed to automate and optimize conversations between companies and consumers. The company's software offers an userbot which uses deep learning and artificial intelligence to analyze messages and it is able to recognize the type of problem, understand the mood of the users and automatically assign a priority, enabling customer services industries to automate replies and resolve customer issues.

Revenue
$5M
Customers
-
Year founded
2017
Funding
$3M
Team size
19
Growth
387.95%
10
NuMind

Cambridge, Massachusetts, United States

Create custom NLP models

Revenue
$5M
Customers
-
Year founded
2022
Funding
-
Team size
10
Growth
-

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.