- Revenue
- $360.5M
- Customers
- 100K
- Year founded
- 2004
- Funding
- $144.1M
- Team size
- 1.1K
- Growth
- 25.17%
Top 100 Conversation Intelligence Software SaaS Companies in May 2026
As of May 2026, there are 100 SaaS companies in Conversation Intelligence Software. They have combined revenues of $1.3B and employ 7.2K people. They have raised $1.7B and serve 152.2K customers combined.
Conversation Intelligence Software refers to tools that enable organizations to capture, transcribe, and analyze conversations with customers and prospects. These software solutions leverage advanced technologies, such as artificial intelligence and machine learning, to convert unstructured audio data into structured insights that drive business decisions. Primary use cases include enhancing sales strategies, improving customer experience, and facilitating training and coaching for employees. These tools typically offer features such as real-time transcription, sentiment analysis, and conversation scoring. By automating the summarization of discussions and identifying key themes or behaviors, companies can optimize their communication strategies. Common buyers of conversation intelligence software include sales teams, customer support departments, and training and development personnel, all aiming to harness insights from conversational data to improve performance and customer interactions.
Filters
Sorting: Highest -> Lowest
Top Conversation Intelligence Software Companies
Showing 10 of 3 companies ranked by annual revenue.
- Revenue
- $332.3M
- Customers
- 4K
- Year founded
- 2015
- Funding
- $583M
- Team size
- 2.2K
- Growth
- 16.6%

San Francisco, California, United States
Sierra is the conversational AI platform for businesses. We help companies elevate their customer experience with AI.
- Revenue
- $100M
- Customers
- -
- Year founded
- 2023
- Funding
- $175M
- Team size
- 165
- Growth
- 300%
Inclusion Criteria
- Must provide capabilities for recording, transcribing, and analyzing conversations. - Should offer insights related to customer interactions, such as sentiment analysis and key topic identification. - Needs to support integration with existing CRM systems or other business tools for seamless data usage. - Must cater primarily to enterprise-level users in sales, customer service, or training roles. - Not just focused on basic call recording; must also analyze conversations for actionable insights.

