- Revenue
- $5M
- Customers
- -
- Year founded
- 2022
- Funding
- -
- Team size
- 2
- Growth
- -
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.
Filters
Sorting: Highest -> Lowest
Top Generative AI Software Companies
Showing 10 of 1,511 companies ranked by annual revenue.
2
Cradle
Amsterdam, Netherlands
Proteins — the building blocks of life — can be tricky to experiment with in the lab. They can become unstable at high temperatures, or may not “fit” correctly onto another chemical that a scientist is trying to study. In an ideal world, researchers would be able to design the correct proteins for their experiments like puzzle pieces that snap neatly into place. That's where Cradle comes in. The company boasts an AI program that it claims can allow any scientist to make a desired protein, theoretically paving the way for advancements in vaccines, antibody treatments, and other therapeutics.
- Revenue
- $5M
- Customers
- -
- Year founded
- 2021
- Funding
- $29.9M
- Team size
- 57
- Growth
- -
- Revenue
- $5M
- Customers
- 20
- Year founded
- 2022
- Funding
- $300K
- Team size
- -
- Growth
- -
4
SEO Content Machine
, , United States
SEO Content Machine Revolutionize content creation with AI-Powered prompt automation and web-scraping tools, an AI-Powered tool that could scrape data from existing content and whip up dynamic prompts like magic!
- Revenue
- $5M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- -
- Growth
- -
- Revenue
- $5M
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 2
- Growth
- -
6
Reispar Technologies & Industries LTD
Yaba, , Nigeria
Semis from Reispar is a platform connecting aspiring and existing big tech and AI professionals with experienced mentors reducing the knowledge gap in the AI tech space across the world.
- Revenue
- $5M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 5
- Growth
- -
- Revenue
- $5M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 2
- Growth
- -
8
PlayHT
Mountain View, California, United States
Our mission is to make Voice AI accessible and useful to all.
- Revenue
- $5M
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 59
- Growth
- -
- Revenue
- $5M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 4
- Growth
- -
10
Paillor, Inc.
Toronto, Ontario, Canada
Paillor is a Gen-AI employee support and automation platform that unifies knowledge bases, SaaS automation, and help desk functionalities in one place. It streamlines work processes through Slack, Microsoft Teams, Google Chrome, or its website, enhancing productivity. Paillor manages various employee requests like software issues, troubleshooting, password resets, knowledge searches, on-offboarding. Using advanced LLMs and machine learning, it efficiently executes tasks across the organization.
- Revenue
- $5M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 10
- 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.