- Revenue
- $1.4B
- Year founded
- 2011
- Team size
- 12.7K
Top 10 Conversational Intelligence Software Companies (November 2026)
As of November 2026, Latka tracks 1,475 conversational intelligence software companies. They have combined revenues of $10.1B and employ 61.5K people. They have raised $9.2B and serve 110.7M customers combined.
Every company below sells conversational intelligence 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 Conversational Intelligence Software Companies do
Conversational Intelligence Software refers to AI-driven platforms designed to extract insights from verbal interactions between businesses and their customers. The software captures and analyzes communications from various channels such as voice calls, live chats, emails, and video meetings, aiming to enhance customer engagement and optimize communication strategies. Typical features include real-time transcription, sentiment analysis, keyword detection, and performance metrics. These capabilities assist organizations in understanding customer behavior, coaching staff, and improving overall sales effectiveness. Common users of conversational intelligence software include sales teams, customer service departments, and marketing professionals who seek to leverage data-driven insights in their operations.
- Companies
- 1,475
- Revenue
- $10.1B
- Funding
- $9.2B
- Employees
- 61.5K
Filters
Sorting: Highest -> Lowest
Top Conversational Intelligence Software Companies by revenue
Showing 10 of 1,475 companies ranked by annual revenue.
- Revenue
- $500M
- Customers
- 4K
- Year founded
- 2015
- Funding
- $583M
- Team size
- 2.2K
- Growth
- 66.67%
Palo Alto, California, United States
Uniphore is the Business AI Company for the agentic enterprise. The Uniphore Business AI Cloud spans agents, models, knowledge, and data, combining the simplicity of consumer AI with the rigor, security, and scalability the enterprise demands. Business users can harness AI effortlessly and deliver outcomes immediately, while CIOs gain the foundation to build powerful AI applications embedded into workflows and trained on enterprise data. Built for the Enterprise, backed by AI Leaders Backed by NVIDIA, AMD, Snowflake, and Databricks, Uniphore brings a unique combination of capital and strategic alignment — validating its position as the definitive Business AI leader. Recent acquisitions of ActionIQ, Infoworks, Orby AI, and Autonom8 further cement Uniphore's AI talent depth and accelerate outcomes for clients. A Complete, Composable Platform Uniphore is designed to be: Sovereign — run on any public cloud, private cloud or on-premises with full control over your data and AI models. Composable — choose your layer, model, or component—vector DBs, knowledge graphs, data compute, and beyond. Secure — embedded guardrails, observability, and AI security ensure trusted, compliant, and enterprise-grade protection. Trusted at Scale Over 2,000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth, improve efficiency, and deliver personalized customer experiences. Customers include leaders across industries, like Skechers, LastPass, Atlassian, HP, Allstate, Sony, and more. Industry Recognition Named to Inc.'s Best in Business List Listed on the Deloitte Technology Fast 500 Recognized in reports by Gartner, Forrester, and IDC From Pilot to Production Through strategic collaborations with industry leaders like KPMG, Cognizant, Rackspace, Databricks and Snowflake, Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.
- Revenue
- $500M
- Customers
- 150K
- Year founded
- 2008
- Funding
- $866.7M
- Team size
- 866
San Francisco, California, United States
Sierra is the conversational AI platform for businesses. We help companies elevate their customer experience with AI.
- Revenue
- $400M
- Year founded
- 2023
- Funding
- $1.6B
- Team size
- 700
- Growth
- 300%
Austin, Texas, United States
Khoros’s award-winning customer engagement platform helps over 2,000 global brands, including one-third of the Fortune 100 companies, create customers for life. With over 20 patented technologies, Khoros connects every facet of customer engagement, including digital contact centers, messaging, chat, online brand communities, CX analytics, and social media management. Combined with our top-rated services, the Khoros platform enables brands to connect with customers throughout their entire digital journey. Khoros powers more than 500 million daily digital interactions and leverages AI to turn these interactions into actionable insights. Primarily owned by Vista Equity Partners, Khoros is recognized as one of the Best Places to Work both nationally and locally across our 11 offices around the world. For more information, visit khoros.com.
- Revenue
- $284.3M
- Year founded
- 2019
- Team size
- 1.2K
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.
- Revenue
- $200M
- Year founded
- 2017
- Funding
- $325M
- Team size
- 453
- Growth
- 100%
Stockholm, Sweden
Hypertype's AI detects the most relevant information from you or your company's emails, document and Notion and then auto-generates custom replies to each incoming email with just the click of a button.
- Revenue
- $188M
- Team size
- 10
Louisville, Kentucky, United States
UnifyCX offers a true blend of AI and human expertise. We deliver a complete solution that combines advanced AI with top-tier CX delivery for real-world results. We are a global company, investing in our agents and communities worldwide, ensuring our global presence drives positive change beyond business.
- Revenue
- $149.3M
- Year founded
- 2002
- Team size
- 1.1K
Oakland, California, United States
We are a unique ATS that combines ✨ AI + 🎙️ audio responses from applicants to help companies, big or small, get signal early in the recruiting process without the need to jump on a call to qualify the candidate. Resulting in redefining the "first-call" or consolidating steps without compromising your workflow. Netting companies days and weeks back from the recruiting process. All while, creating opportunities for applicants to sell themselves directly to the hiring team.
- Revenue
- $139.7M
- Team size
- 5
Munich, Germany
CoWin Copilot®️ Interview bring AI and human strength together. 1. ACE-ANY-INTERVIEW 2. CRACK-ANY-MEETINGS 3. 1:1-MENTORSHIP 4. YOUR-SIDE-HUSTLE Real-time STT Interview answers, Coding Support with Free CV generation. For candidates to excel any interviews.
- Revenue
- $133M
Frequently asked questions about Conversational Intelligence Software Companies
How many conversational intelligence software companies are there?
Latka tracks 1,475 conversational intelligence software companies with reported revenue. Together they generate $10.1B in annual revenue and employ 61.5K people.
Which conversational intelligence software company is the largest?
iSON Xperiences is the largest, with $1.4B in annual revenue, founded in 2011.
How much revenue does a typical conversational intelligence software company make?
The average conversational intelligence software company in this list makes $6.8M a year, across 1,475 companies with reported revenue. They serve 110.7M customers combined.
Who are the leading Conversational Intelligence software vendors?
Ranked by annual revenue, the leaders are iSON Xperiences, Gong, Uniphore, Sierra and Khoros.
How much funding have conversational intelligence software companies raised?
The 1,475 conversational intelligence software companies tracked here have raised $9.2B in disclosed funding between them.
Related Artificial Intelligence Software categories
Inclusion Criteria
- Must capture and analyze voice, chat, or other communication data. - Should provide real-time transcription and insights. - Must include sentiment and emotion analysis functionalities. - Should enable keyword and topic detection from conversations. - Not just for recording; must also offer analytics and actionable insights.