- Revenue
- $1.4B
- Year founded
- 2011
- Team size
- 12.7K
Top 10 Intelligent Virtual Assistants Software Companies (November 2026)
As of November 2026, Latka tracks 754 intelligent virtual assistants software companies. They have combined revenues of $4.9B and employ 33K people. They have raised $4B and serve 2M customers combined.
Every company below sells intelligent virtual assistants 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 Intelligent Virtual Assistants Software Companies do
Intelligent Virtual Assistants (IVAs) are AI-driven software solutions designed to interact with users through natural language processing and other machine learning techniques. They are commonly deployed in customer service settings to provide instant responses to inquiries, assist in troubleshooting, and guide users through processes. IVAs can also be utilized internally within organizations to streamline operations and enhance productivity by managing scheduling, reminders, and information retrieval. Key features of intelligent virtual assistants include chat and voice interaction capabilities, integration with various platforms and applications, and the ability to learn from user interactions over time. They can assist a variety of buyer personas, such as customer support representatives seeking to improve response times, sales teams aiming to enhance lead qualification, or HR departments looking to automate routine inquiries related to employee policies and benefits. With their adaptable nature, IVAs can cater to both B2C and B2B environments, providing flexibility across numerous industries.
- Companies
- 754
- Revenue
- $4.9B
- Funding
- $4B
- Employees
- 33K
Filters
Sorting: Highest -> Lowest
Top Intelligent Virtual Assistants Software Companies by revenue
Showing 10 of 754 companies ranked by annual revenue.
2
Trip AI
London, United Kingdom
Trip AI is your personal travel planner, powered by artificial intelligence. It creates customized itineraries, suggests activities and accommodations based on your preferences, and adapts to changes in real-time for a stress-free travel experience.
- Revenue
- $396.8M
3
Glean
Palo Alto, California, United States
Glean is the intelligent work assistant that utilizes advanced algorithms and intuition to search across all your company's apps. It helps you find exactly what you need and discover important information that you should know to enhance productivity and efficiency.
- Revenue
- $300M
- Customers
- 200
- Year founded
- 2019
- Funding
- $768.2M
- Team size
- 1.6K
- Growth
- 50%
4
UnifyCX
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
5
Ushur AI
Santa Clara, California, United States
Ushur delivers the world's first AI-powered Customer Experience Automation™ platform, purpose-built to intelligently automate customer journeys through cutting-edge technology.
- Revenue
- $120.4M
- Year founded
- 2018
- Team size
- 285
6
Wiseway
United States
Next-generation AI consultancy intelligence to support you as you embark on your entrepreneurial journey. Strategize with your bedside chatbot's future-based industry insights and customized solutions. Start making a difference today to become the next unicorn!
- Revenue
- $112.3M
7
Otter.ai
Mountain View, California, United States
With over 1 billion meetings captured, Otter.ai is the world’s leading AI Meeting Assistant. It provides teams everywhere with real-time automated meeting notes, summaries, and action items from in-person and virtual meetings. Otter AI Chat turns meetings into accessible and actionable information that can be shared across teams and organizations to increase collaboration and productivity.
- Revenue
- $100M
- Year founded
- 2014
- Team size
- 200
8
Decagon
San Francisco, California, United States
Decagon is a leading innovator in AI-powered customer support agents for enterprises. Their platform automates customer interactions, resolves routine queries, and enhances support operations using advanced AI models. Decagon's technology integrates with existing tools and data sources, allowing businesses to scale customer service without increasing headcount while improving response times and quality.
- Revenue
- $100M
- Team size
- 47
- Growth
- 1834.24%
9
Yellow.ai
San Mateo, California, United States
Yellow.ai is an enterprise-grade conversational AI platform founded in 2016 and headquartered in Bangalore, India. The company builds Dynamic AI Agents that automate customer service and employee engagement interactions across voice, WhatsApp, Google Business Messaging, and other channels, pricing its platform on a per-conversation or per-minute-of-call-handling basis. As of mid-2022, Yellow.ai reported approximately 1,000 customers, an annual recurring revenue run rate in the $25 million to $35 million range, and year-over-year growth of 140 to 150 percent. The company targets ending 2022 with $40 million to $60 million in ARR, representing 2.2 to 2.5 times its prior-year bookings. Yellow.ai has raised $104 million in total funding across three rounds, most recently a $78 million Series C in 2021 led by WestBridge Capital with participation from Sapphire Ventures, Salesforce Ventures, and Lightspeed Venture Partners, at a valuation reported at $500 million. CEO Raghu Ravinutala told Latka in August 2022 that more than 90 percent of the Series C proceeds remained in the bank, giving the company a runway he estimated at two to three years under its current plan.
- Revenue
- $79.5M
- Customers
- 1K
- Year founded
- 2016
- Funding
- $102.2M
- Team size
- 1K
10
Laiye
Beijing, China
Laiye is the pioneer of the Work Execution System, a business and technology framework built around synergy between human and digital workers. Laiye’s software brings together in one platform the disparate tools businesses use to carry out digital tasks, such as Intelligent Document Processing(IDP), Conversational AI, Process Mining, Intelligent Automation and others. In addition, Large Language Models and Foundation Models will be leveraged in the design and use-case creation process, which will speed up development and time to value for customers. Built on the premise of an open ecosystem, Laiye helps businesses optimize the technologies they already have in place. Laiye is the first company in its industry to commit to returning 100% of licence fees should agreed business outcomes not be achieved. Learn more: www.laiye.com/en
- Revenue
- $70.2M
- Year founded
- 2015
- Team size
- 468
Frequently asked questions about Intelligent Virtual Assistants Software Companies
How many intelligent virtual assistants software companies are there?
Latka tracks 754 intelligent virtual assistants software companies with reported revenue. Together they generate $4.9B in annual revenue and employ 33K people.
Which intelligent virtual assistants 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 intelligent virtual assistants software company make?
The average intelligent virtual assistants software company in this list makes $6.5M a year, across 754 companies with reported revenue. They serve 2M customers combined.
Who are the leading Intelligent Virtual Assistants software vendors?
Ranked by annual revenue, the leaders are iSON Xperiences, Trip AI, Glean, UnifyCX and Ushur AI.
How much funding have intelligent virtual assistants software companies raised?
The 754 intelligent virtual assistants software companies tracked here have raised $4B in disclosed funding between them.
Related Artificial Intelligence Software categories
Inclusion Criteria
- Must utilize artificial intelligence and natural language processing to understand and respond to user requests. - Should integrate with existing business tools and data sources for effective functionality. - Must provide a mechanism for continuous learning and improvement based on user interactions. - Should be capable of handling both textual and voice communications. - Not just a basic chatbot; must also offer advanced automation features and context-aware interactions.