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Top 4,522 Generative AI Software SaaS Companies in May 2026

As of May 2026, there are 4,522 SaaS companies in Generative AI Software. They have combined revenues of $62.6B and employ 242.6K people. They have raised $75B and serve 195.7M customers combined.

Generative AI software refers to tools and applications that utilize artificial intelligence to generate content, designs, or code through learning from vast datasets. This category encompasses a range of use cases, including content creation, automated coding, design prototyping, and personalized customer experiences. By leveraging algorithms such as deep learning and neural networks, these tools revolutionize workflows by automating repetitive tasks, thereby improving efficiency and creativity. Typical features of generative AI software can include natural language processing for text generation, advanced computer vision capabilities for image and video creation, and simulation generation for various industrial applications. The primary users of generative AI software span diverse sectors, including marketing and advertising for content personalization, software development for code generation, and design companies for rapid prototyping and iteration. The rise of this category reflects a growing demand for innovative solutions that enhance productivity and creativity across industries.

Companies
4,522
Revenue
$62.6B
Funding
$75B
Employees
242.6K

Filters

Sorting: Highest -> Lowest

Filters
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Funding (Locked)Growth (Locked)Team-Size (Locked)

Top Generative AI Software Companies

Showing 10 of 498 companies ranked by annual revenue.

1
Anyword

New York, New York, United States

For marketers, every word counts. Over 1 billion marketing messages are created daily across digital channels, many of which are biased, costly to produce, and ineffective. Anyword's mission is to solve these issues. Anyword is a natural language generation platform designed to assist marketers in crafting messages tailored to their target audience. Our platform utilizes a model trained on millions of marketing messages and integrates with your historical data to generate high-quality messages across various channels and formats. Anyword is trusted by leading publishers and brands globally, including The New York Times, PetCareRx, NBA, Red Bull, Ted Baker, and others.

Revenue
$100M
Customers
-
Year founded
2013
Funding
$30.1M
Team size
512
Growth
-
2
Gamma

San Francisco, California, United States

Gamma is your AI design partner for creating presentations, websites, social media, and more. All at the speed of thought.

Revenue
$100M
Customers
-
Year founded
2021
Funding
$87M
Team size
50
Growth
316.67%
3
GPTs AI Store

, , United States

Discover and ship any GPTs

Revenue
$100M
Customers
-
Year founded
-
Funding
-
Team size
-
Growth
-
4
Base44

San Francisco, California, United States

Base44 is the first all-in-one AI platform to easily build fully functioning apps - without coding. Acquired by Wix for $80m on June 18th 2025.

Revenue
$100M
Customers
-
Year founded
2025
Funding
$80M
Team size
91
Growth
566.67%
5
Mistral AI

Paris, France

Fast, open-source and secure language models

Revenue
$100M
Customers
-
Year founded
2023
Funding
$3B
Team size
276
Growth
138.1%
6
Clay

New York, New York, United States

Clay is a New York-based AI-powered sales intelligence and data enrichment platform designed to help growth and revenue operations (RevOps) teams automate personalized outreach and build comprehensive customer profiles. Founded in 2017 by Kareem Amin and Nicolae Rusan, the company has raised $102 million in funding, achieving a valuation of $1.3 billion as of early 2025 .​

Revenue
$100M
Customers
10K
Year founded
-
Funding
$100M
Team size
1K
Growth
222.58%
7
HeyGen

Los Angeles, California, United States

Diverse & engaging videos, made 10x faster & cheaper by AI.

Revenue
$100M
Customers
-
Year founded
-
Funding
$74.6M
Team size
157
Growth
185.71%
8
DevRev Inc.

Palo Alto, California, United States

DevRev is designed for AI to work alongside people by converging business infrastructure, which we call AgentOS. AgentOS unlocks the power of AI Agents, We can replace legacy systems with an interconnected platform to automate labor-intensive tasks, and enhance the customer experience with self-service and preemptive engagement. Despite its breadth, AgentOS begins to deliver value in hours rather than months through our powerful data replication, sync capabilities, and analytics AI agents.

Revenue
$100M
Customers
-
Year founded
2020
Funding
$150.8M
Team size
809
Growth
43.06%
9
Cohere

Toronto, Ontario, Canada

the leading AI platform for enterprise, suited to the needs of business, unlocking unprecedented ease-of-use, accessibility, and data privacy

Revenue
$100M
Customers
-
Year founded
2019
Funding
$1B
Team size
843
Growth
17.65%
10
Algolia

San Francisco, California, United States

Algolia is owned by Algolia Inc., a privately held company headquartered in San Francisco, California, USA. Algolia is a search-as-a-service platform that enables developers to build fast, relevant, and intuitive search experiences for their websites and applications. The company was founded in 2012 by Nicolas Dessaigne and Julien Lemoine and has since grown to serve thousands of customers worldwide, including big names like Twitch, Stripe, and Under Armour. Algolia's mission is to make every search interaction meaningful and rewarding for users, and to help businesses improve engagement and conversion rates through better search experiences.

Revenue
$100M
Customers
17K
Year founded
2012
Funding
$334.2M
Team size
862
Growth
33.33%

Inclusion Criteria

- Must generate unique content, designs, or code using learned algorithms. - Should support a variety of inputs, such as text prompts, images, or structured data. - Must demonstrate functionality in automating tasks traditionally performed by humans. - Should cater to multiple industries, including marketing, software development, and design. - Not just for content generation; must also provide tools for editing or refining outputs. - Must employ advanced AI methodologies, such as neural networks or machine learning. - Should be user-friendly, allowing non-technical users to create and iterate on outputs.