1
Anthropic
San Francisco, California, United States
AI research company that builds Claude, an AI assistant for tasks at any scale
- Revenue
- $65B
- Customers
- 300K
- Year founded
- 2021
- Funding
- $86.3B
- Team size
- 2.3K
Top 50 Generative AI Software Companies (October 2026)
As of October 2026, Latka tracks 4,498 generative AI software companies. They have combined revenues of $146.7B and employ 226.2K people. They have raised $279.6B and serve 195.8M customers combined.
Every company below sells generative AI 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 Generative AI Software Companies do
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
- 4,498
- Revenue
- $146.7B
- Funding
- $279.6B
- Employees
- 226.2K
Filters
Sorting: Highest -> Lowest
Top Generative AI Software Companies by revenue
Showing 10 of 4,498 companies ranked by annual revenue.
- Revenue
- $40B
- Customers
- 2M
- Year founded
- 2015
- Funding
- $138.1B
- Team size
- 4.5K
3
GrubMarket
San Francisco, California, United States
AI-powered technology enabler and digital transformer of American…
- Revenue
- $2B
- Year founded
- 2014
- Funding
- $515M
- Team size
- 115
- Growth
- 20%
4
Jobandtalent
Madrid, Madrid, Spain
a digital staffing platform that uses AI technology to match job seekers with job openings.
- Revenue
- $1.8B
- Year founded
- 2009
- Funding
- $385.3M
- Team size
- 3.9K
5
Ramp
New York, New York, United States
Ramp is an all-in-one financial operations platform that helps businesses save time and money by automating expense management, bill payments, corporate cards, vendor management, and accounting processes. Designed for companies of all sizes, Ramp streamlines finance workflows with AI-powered automation and real-time controls, enabling organizations to close their books faster and reduce unnecessary spending. Since its founding in 2019, Ramp has served over 30,000 customers, saving them billions of dollars and millions of hours.
- Revenue
- $1.4B
- Customers
- 25K
- Year founded
- 2006
- Funding
- $2.6B
- Team size
- 3.2K
6
PicsArt
San Francisco, California, United States
Picsart is the world's largest digital creation platform. Its AI-powered tools allow creators of all levels to design, edit, draw and share photo and video.
- Revenue
- $750M
- Year founded
- 2011
- Funding
- $175M
- Team size
- 1.4K
- Revenue
- $696.3M
- Year founded
- 2022
8
IntelyCare
Quincy, Massachusetts, United States
IntelyCare is an on-demand healthcare staffing company that matches per diem nurses and CNAs with nursing facilities needing to fill shifts. It develops a healthcare workforce management platform using AI.
- Revenue
- $509M
- Year founded
- 2014
- Funding
- $170.8M
- Team size
- 2K
9
Eleven Labs
New York City, New York, United Kingdom
Research Lab: Exploring new frontiers of voice generation. We are dedicated to researching and implementing innovative techniques in voice artificial intelligence (AI) to enhance the appeal of content across different languages and voices. Our goal is to reach new audiences and viewers by ensuring a more immersive and engaging experience.
- Revenue
- $500M
- Year founded
- 2022
- Funding
- $781M
- Team size
- 400
10
Lovable
Stockholm, Sweden
Lovable is an AI-powered platform that enables developers and non-technical users to create and deploy web applications rapidly. It aims to unlock human creativity by automating software development processes, allowing users to generate complete applications with authentication, data storage, and AI capabilities in a fraction of traditional development time.
- Revenue
- $500M
- Year founded
- 2023
- Funding
- $552.5M
- Team size
- 146
- Growth
- 150%
Frequently asked questions about Generative AI Software Companies
How many generative AI software companies are there?
Latka tracks 4,498 generative AI software companies with reported revenue. Together they generate $146.7B in annual revenue and employ 226.2K people.
Which generative AI software company is the largest?
Anthropic is the largest, with $65B in annual revenue, founded in 2021.
How much revenue does a typical generative AI software company make?
The average generative AI software company in this list makes $32.6M a year, across 4,498 companies with reported revenue. They serve 195.8M customers combined.
Who are the leading Generative AI software vendors?
Ranked by annual revenue, the leaders are Anthropic, OpenAI, GrubMarket, Jobandtalent and Ramp.
How much funding have generative AI software companies raised?
The 4,498 generative AI software companies tracked here have raised $279.6B in disclosed funding between them.
Related Artificial Intelligence Software categories
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.