San Jose, California, United States
customer engagement solutions powered by artificial intelligence.
- Revenue
- $1.2B
- Customers
- 150
- Year founded
- 2000
- Funding
- $22M
- Team size
- 11.4K
As of September 2026, Latka tracks 5 chatbots software companies with $100M+ in annual revenue. They have combined revenues of $1.8B and employ 15.5K people. They have raised $2.4B and serve 150 customers combined.
Every company below sells chatbots 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.
Chatbot software encompasses digital tools designed to simulate conversations with human users, primarily through text or voice interactions. These applications leverage natural language processing (NLP) and machine learning techniques to understand user inquiries and provide automated responses. Common use cases include customer support, lead generation, and user engagement, where chatbots assist users around the clock, improving response times and satisfaction rates. Typical features of chatbot software include user-friendly interfaces for building and managing chatbots, integration with messaging platforms, analytics for monitoring interactions, and capabilities for handling multiple queries simultaneously. Buyer personas for this category often include customer support teams, marketing professionals, and IT departments, who seek to enhance operational efficiency and customer interaction by adopting automation technologies.
Sorting: Highest -> Lowest
Showing 5 of 5 companies ranked by annual revenue.
San Jose, California, United States
customer engagement solutions powered by artificial intelligence.
San Francisco, California, United States
Sierra is the conversational AI platform for businesses. We help companies elevate their customer experience with AI.
South Jordan, Utah, United States
Lucid Software is the leader in visual collaboration and work acceleration, helping teams see and build the future by turning ideas into reality. Its products include the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus. The Lucid Visual Collaboration Suite, combined with powerful accelerators for business agility, cloud, and process transformation, empowers organizations to streamline work, foster alignment, and drive business transformation at scale. airfocus, an AI-powered product management and roadmapping platform, extends these capabilities by helping teams prioritize work, define product strategy, and align execution with business goals. The most used work acceleration platform by the Fortune 500, Lucid’s solutions are trusted by more than 100 million users across enterprises worldwide, including Google, GE, and NBC Universal. Lucid partners with leaders such as Google, Atlassian, and Microsoft, and has received numerous awards for its products, growth, and workplace culture. The company holds true to its core values, including teamwork over ego, innovation in everything we do, individual empowerment, initiative, ownership, and passion and excellence in every area. Learn more at lucid.co.
United States
EliseAI empowers housing and healthcare organizations with powerful automation and conversational AI, streamlining conversations, enhancing customer engagement, and delivering unparalleled efficiency across housing and property management operations.
Latka tracks 5 chatbots software companies with $100M+ in annual revenue. Together they generate $1.8B in annual revenue and employ 15.5K people.
247 ai is the largest, with $1.2B in annual revenue, founded in 2000.
The average chatbots software company in this list makes $355.7M a year, across 5 companies with reported revenue. They serve 150 customers combined.
Ranked by annual revenue, the leaders are 247 ai, Sierra, Lucid Software, Blip and EliseAI.
The 5 chatbots software companies with $100M+ in annual revenue tracked here have raised $2.4B in disclosed funding between them.
- Must provide automation of conversational interactions through text or voice - Should integrate with various messaging platforms or websites - Must utilize natural language processing to understand user input - Should offer analytics and reporting features to track performance - Not just for customer support; must also support sales and marketing functions - Should have the ability to handle multiple conversations simultaneously
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