As of July 2026, there are 789 SaaS companies in Intelligent Virtual Assistants Software. They have combined revenues of $7B and employ 46.8K people. They have raised $3.7B and serve 2.1M customers combined.
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.
Sorting: Highest -> Lowest
Showing 10 of 405 companies ranked by annual revenue.
Santa Clara, California, United States
Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes.
Stockholm, Stockholm County, Sweden
Selma use conversational AI to understand and talk to your prospects. Just like you do today, but better.
San Francisco, California, United States
AI assistants for mental health clinics to efficiently run their ops
United States
O-mega is the AI workforce platform. O-mega agents learn to use any tool you use today and automate your workflows. Agents in O-mega work for you autonomously in your organizational context and within your guardrails.
Nea Filadelfia, Attica, Greece
Empowering Scaling Companies with Seamless Travel Solutions At Travelr, we’re redefining travel management for scaling companies. Our all-in-one platform is designed to support every department that interacts with travel—from travelers and HR teams to travel managers, accountants, and executives. Whether you're a fast-growing startup or a large enterprise, Travelr provides the tools you need to manage, book, and pay for travel efficiently. Dynamic Packaging is a core feature of our platform. It allows businesses to bundle flights, hotels, car rentals, transfers, and more into one personalized, cost-effective package. The solution is flexible, adjusting in real-time to meet specific budgetary constraints and traveler preferences. Our Travel Copilot AI is a smart assistant that simplifies the travel process. It learns from your company’s travel policies and individual preferences, making tailored recommendations and ensuring each trip is booked according to policy. Whether you're a travel manager or an employee booking a flight, the AI streamlines every aspect of the travel experience. Travelr Pay integrates a seamless payment system into the platform, enabling businesses to handle all travel-related payments in one place. This simplifies expense tracking, ensures policy compliance, and provides accountants with real-time data on travel spending. For travel managers and B2B professionals, Travelr offers an efficient platform for managing travel programs, improving compliance, and reducing administrative overhead. It’s a complete solution for businesses seeking a scalable, tech-driven approach to corporate travel. From startups to enterprises, Travelr empowers companies to streamline travel operations, save time, and reduce costs—all while supporting employees at every step of their journey. Let us help you scale with ease and efficiency.
- 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.
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