1
247 ai
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
Top 5 Conversational Support Software Companies $100M+ Revenue (September 2026)
As of September 2026, Latka tracks 5 conversational support software companies with $100M+ in annual revenue. They have combined revenues of $2.3B and employ 13.3K people. They have raised $1.1B and serve 150.2K customers combined.
Every company below sells conversational support 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 Support Software Companies do
Conversational Support Software refers to platforms that facilitate real-time, engaging communication between businesses and customers. These systems aim to enhance customer experience by streamlining interactions through channels such as live chat, messaging apps, and social media. With an increasing emphasis on personalized and immediate support, this software serves as a crucial tool for companies seeking to maintain a competitive edge in customer service. Typical use cases for conversational support software include customer inquiries, appointment scheduling, and proactive engagement through automated messaging. Common features often include automated customer lookup, skills-based routing, and self-service options, all designed to provide seamless support. Buyer personas predominantly include customer service managers, operations teams, and IT personnel, all focused on improving customer satisfaction and operational efficiency.
- Companies
- 5
- Revenue
- $2.3B
- Funding
- $1.1B
- Employees
- 13.3K
Filters
Sorting: Highest -> Lowest
Top Conversational Support Software Companies $100M+ Revenue
Showing 5 of 5 companies ranked by annual revenue.
2
Uniphore
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
3
Aisera
Palo Alto, California, United States
AI-powered service management platform for enterprise customers.
- Revenue
- $257.3M
- Year founded
- 2017
- Funding
- $164.5M
- Team size
- 340
4
Hypertype AB
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
5
Vosyn
Etobicoke, Ontario, Canada
Vosyn offers real-time localization and authentic communication, leveraging AI-driven solutions to break language barriers.
- Revenue
- $118M
- Year founded
- 2023
- Team size
- 707
Frequently asked questions about Conversational Support Software Companies $100M+ Revenue
How many conversational support software companies with $100M+ in annual revenue are there?
Latka tracks 5 conversational support software companies with $100M+ in annual revenue. Together they generate $2.3B in annual revenue and employ 13.3K people.
Which conversational support software company with $100M+ in annual revenue is the largest?
247 ai is the largest, with $1.2B in annual revenue, founded in 2000.
How much revenue does a typical conversational support software company with $100M+ in annual revenue make?
The average conversational support software company in this list makes $452.7M a year, across 5 companies with reported revenue. They serve 150.2K customers combined.
Who are the leading Conversational Support software vendors with $100M+ in annual revenue?
Ranked by annual revenue, the leaders are 247 ai, Uniphore, Aisera, Hypertype AB and Vosyn.
How much funding have conversational support software companies with $100M+ in annual revenue raised?
The 5 conversational support software companies with $100M+ in annual revenue tracked here have raised $1.1B in disclosed funding between them.
Related Customer Service Software categories
Inclusion Criteria
- Must enable real-time communication between businesses and customers - Should provide features for automated responses and customer self-service - Must support multiple messaging channels such as chat, social media, and messaging apps - Should facilitate tracking and analytics of customer interactions - Not just a marketing tool; must also include functionality for customer service operations - Should offer capabilities for personalized engagement and proactive messaging - must integrate with existing CRM or support systems