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 2 Natural Language Understanding Software Companies $100M+ Revenue (September 2026)
As of September 2026, Latka tracks 2 natural language understanding software companies with $100M+ in annual revenue. They have combined revenues of $2.4B and employ 12.9K people. They have raised $485.6M.
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
- 2
- Revenue
- $2.4B
- Funding
- $485.6M
- Employees
- 12.9K
Filters
Sorting: Highest -> Lowest
Top Natural Language Understanding Software Companies $100M+ Revenue
Showing 2 of 2 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%
Frequently asked questions about Natural Language Understanding Software Companies $100M+ Revenue
How many natural language understanding software companies with $100M+ in annual revenue are there?
Latka tracks 2 natural language understanding software companies with $100M+ in annual revenue. Together they generate $2.4B in annual revenue and employ 12.9K people.
Which natural language understanding software company with $100M+ in annual revenue 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 with $100M+ in annual revenue make?
The average natural language understanding software company in this list makes $1.2B a year, across 2 companies with reported revenue.
Who are the leading Natural Language Understanding software vendors with $100M+ in annual revenue?
Ranked by annual revenue, the leaders are iSON Xperiences - Smarter Empathic AI and Mercor.
How much funding have natural language understanding software companies with $100M+ in annual revenue raised?
The 2 natural language understanding software companies with $100M+ in annual revenue tracked here have raised $485.6M 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.