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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 59 companies ranked by annual revenue.

1
EasyCode

Toronto, Canada

ChatGPT that understands your codebase.

Revenue
$1M
Customers
-
Year founded
2023
Funding
-
Team size
5
Growth
-
2
Talent Llama, LLC

United States

Simple and powerful applicant qualification through conversational AI. Talent Llama brings effortless, expert, and fair candidate screening to your recruitment team.

Revenue
$1M
Customers
-
Year founded
-
Funding
-
Team size
3
Growth
-
3
Brevian

Sunnyvale, California, United States

Brevian revolutionizes B2B enterprise sales through its sales intelligence platform powered by its custom-built knowledge engine. Unlike legacy sales tools that simply record conversations, issue transcripts, or perform basic data retrieval, Brevian deeply understands your customers' intent, your tech and sales processes by mapping relationships between pain points, product capabilities, use cases and successful selling strategies. Its intelligence layer empowers every rep to sell like your top performers, providing real-time coaching, automating workflows, and delivering cross-meeting insights that drive faster deal velocity, knowledge retention, and higher conversion rates. Furthermore, Brevian empowers every sales team to create tailored solutions that fit their unique processes. From pre-meeting preparation to post-meeting follow-ups, Brevian streamlines and helps standardize operations, enhances decision-making, and maximizes the efficiency of both Account Executives and Sales Engineers, ultimately accelerating deal cycles and driving revenue growth.

Revenue
$990K
Customers
-
Year founded
2023
Funding
-
Team size
9
Growth
-
4
FULLY AI

Hamburg, Germany

Building the future of Human- AI interactions

Revenue
$990K
Customers
-
Year founded
2022
Funding
-
Team size
9
Growth
-
5
Dashbot

San Francisco, California, United States

We are on a mission to decipher language, which is the most complex type of data that ever existed. Dashbot is a data platform that ingests, cleans, stores, and processes any type of Conversation Data — such as from speaking to Alexa, talking to a customer service rep over the phone, or typing to a chatbot on a website. While virtually every other field/application of A.I. is trying to understand the world around us (e.g. computer vision), Dashbot is harnessing the power of Conversational AI to understand the world within us (i.e. intention). Dashbot is backed by world-class investors including ff Venture Capital, Bessemer Venture Partners, Scrum Ventures and Samsung.

Revenue
$990K
Customers
-
Year founded
2020
Funding
-
Team size
9
Growth
-
6
Assist-Ant

Tel Aviv, Israel

Assist-Ant provides a platform online that offers analytics of smart texts

Revenue
$917.1K
Customers
-
Year founded
2016
Funding
-
Team size
2
Growth
39.72%
7
Ask Lexi Pty Limited

Sydney, New South Wales, Australia

Ask Lexi is an legal information application powered by GPT-4. Ask Lexi can consistently and reliably answer questions about Australian law, in plain and understandable language. Lexi can also summarise and explain legal documents in plain English.

Revenue
$880K
Customers
-
Year founded
-
Funding
-
Team size
8
Growth
-
8
Sint

Alexandria, Egypt

Sint is an AI interviewer that cuts hiring cost and time, creating a real world alike interview that does exactly what an HR would but without bias and discrimination, ensuring that you find top talent at a click of a button.

Revenue
$859K
Customers
-
Year founded
-
Funding
-
Team size
7
Growth
-
9
NLP Cloud

Grenoble, Rhone-alpes, France

NLP Cloud provides spaCy and hugging face transformer-based models.

Revenue
$772.4K
Customers
-
Year founded
2020
Funding
-
Team size
2
Growth
21%
10
Cekura

San Francisco, California, United States

Testing and Observability for AI Voice Agents Testing: Scenario Generation: Creates varied test cases from agent descriptions for comprehensive coverage. Custom Personas: Emulates diverse user types with varied accents, background noise, and conversational styles. Evaluation Metrics: Track custom, AI-generated, and critical workflow performance metrics. Observability: Call Analytics: Provides call volume, ringing duration, success rate, interruptions, customer sentiment and agent latency analytics. Instruction Analysis: Identifies and prioritizes instances where agents fail to follow instructions. Drop-off Tracking: Analyzes when and why users abandon calls, highlighting areas of improvement. Call End Reasons: Tracks causes for call terminations, identifying areas of concern. Custom Metrics: Allows users to define unique metrics for personalized call analysis. Alerting: Proactively notifies users of critical issues like latency spikes or missed functions.

Revenue
$770K
Customers
-
Year founded
2024
Funding
-
Team size
7
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.