- Revenue
- $5M
- Customers
- -
- Year founded
- 2022
- Funding
- -
- Team size
- 10
- Growth
- -
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.
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Sorting: Highest -> Lowest
Top Natural Language Understanding (NLU) Software Companies
Showing 10 of 38 companies ranked by annual revenue.

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%
- Revenue
- $5M
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 47
- Growth
- -

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
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 4
- Growth
- -

New York, New York, United States
Wave is an iOS app that transcribes and summarizes recorded audio and phone calls, in any language. Wave is the essential tool for capturing and understanding critical information, anytime, anywhere.
- Revenue
- $4M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 1
- Growth
- -

Berkeley, California, United States
Quarrio: Harnessing Deterministic AI and Semantic Understanding for Business Intelligence Quarrio is at the forefront of Conversational Analytics, utilizing deterministic AI and semantic understanding to revolutionize business data interaction. Users can ask questions in plain English and receive precise, accurate answers and insights without traditional report writing. Quarrio's deterministic AI ensures 100% accurate information retrieval, providing reliable data insights for informed decision-making. Its semantic capabilities understand the context and meaning behind queries, enabling effortless extraction of relevant information from complex data sets. Key Business Cases: - Real-Time Financial Analysis: Financial institutions gain immediate insights into market trends, investment performance, and risk assessments. - Healthcare Data Management: Healthcare providers access patient records and treatment outcomes, improving care and resource allocation. - Operational Efficiency: Businesses streamline operations by querying data to identify bottlenecks and forecast needs. - CRM Enhancement: Sales and marketing teams extract insights to enhance targeting and customer satisfaction. Recognized by the Software & Information Industry Association (SIIA) with the NexGen award for big data, Quarrio bypasses traditional business intelligence deployments, offering unmatched ease of use and flexibility. Learn more at http://www.quarrio.com.
- Revenue
- $3.6M
- Customers
- -
- Year founded
- 2013
- Funding
- -
- Team size
- 33
- Growth
- -

Brooklyn, New York, United States
Developer of a voice interface platform designed for industrial environment. The company's platform allows the most natural form of communication to converse within the factory, allowing clients to connect and interact with their existing in-house systems through simple integrations.
- Revenue
- $3.5M
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 34
- Growth
- 18.01%

Houston, Texas, United States
Provider of natural-language learning and conversational AI solutions intended to create personalized, timely customer experiences. The company's proprietary API accurately locates, extracts and classifies intent and key named entities from natural language that results in higher business value from otherwise unstructured information, enabling medium and large companies to develop their own proprietary AI-driven systems and services that add value beyond service and sales.
- Revenue
- $3.2M
- Customers
- -
- Year founded
- 2017
- Funding
- $23.4M
- Team size
- 47
- Growth
- 73.37%

New York, New York, United States
Sales call roleplay with realistic conversational AI buyers
- Revenue
- $3.2M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 21
- Growth
- -

Giv'atayim, Israel
eSelf AI is the new era of face-to-face interactions. It's designed to understand and respond in a neutral way, just like conversing with a human. Using our product, you can tackle challenges through a pleasant and captivating experience, ensuring authenticity and efficiency in every way. Face-to-face communication...
- Revenue
- $2.9M
- Customers
- -
- Year founded
- 2022
- Funding
- -
- Team size
- 26
- 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.

