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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

Top Generative AI Software Companies

Showing 10 of 2,167 companies ranked by annual revenue.

1
Tuesday

San Francisco, California, United States

Scale personalized outreach with AI.

Revenue
$1M
Customers
-
Year founded
2024
Funding
-
Team size
5
Growth
-
2
camfer

San Francisco, California, United States

Building the world’s first AI mechanical engineer.

Revenue
$1M
Customers
-
Year founded
2024
Funding
-
Team size
5
Growth
-
3
SafetyKit

San Francisco, California, United States

AI-Powered Trust and Safety Automation

Revenue
$1M
Customers
-
Year founded
2023
Funding
-
Team size
5
Growth
-
4
SaaS Forge

Berlin, Germany

Uncover your next brilliant idea. Our AI-powered tool quickly provides personalized micro SaaS ideas based on your interests. Ideal for developers and business owners that want to create rapidly and effectively.

Revenue
$1M
Customers
-
Year founded
-
Funding
-
Team size
-
Growth
-
5
Malloc

Nicosia, Cyprus

AI-driven startup focused on mobile and app security.

Revenue
$1M
Customers
-
Year founded
2021
Funding
-
Team size
7
Growth
-
6
Expando AI

Hong Kong, Hong Kong

Expando is an AI-powered referral software that connects B2B SaaS companies with referral partners in APAC to build a predictable referral pipeline. Expando is building Asia-Pacific's largest partner ecosystem, a decentralized platform where B2B SaaS companies connect with trusted industry experts who endorse their disruptive products to decision-makers in APAC markets. Since 2021, Expando has supported 50+ B2B technology companies through a community of 65 industry experts and its global team is backed by Hong Kong Science and Technology Parks Corporation.

Revenue
$1M
Customers
-
Year founded
2021
Funding
-
Team size
10
Growth
-
7
Simpler.ai

, , Finland

Reclaim the drivers seat, co-write with AI. Simpler.ai is a distraction-free writing tool focusing on co-writing with AI. Instead of asking the AI to write for you, click the magic AI button when you want it to continue your text. Write at end, or in middle.

Revenue
$1M
Customers
-
Year founded
-
Funding
-
Team size
-
Growth
-
8
CapixAI

, United States

An AI Analyst for private capital

Revenue
$1M
Customers
-
Year founded
2022
Funding
-
Team size
6
Growth
-
9
Sizolution

Berlin, Germany

Sizolution is an AI based SaaS for fashion ecommerce.

Revenue
$1M
Customers
2M
Year founded
2015
Funding
-
Team size
1
Growth
45.7%
10
WriterBuddy

Los Angeles, California, United States

We help people write better content faster with the power of AI.

Revenue
$1M
Customers
-
Year founded
2022
Funding
-
Team size
4
Growth
-

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.