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
- Growth
- 1200%
As of November 2026, Latka tracks 4,154 generative AI software companies. They have combined revenues of $147.8B and employ 164.6K people. They have raised $271.1B and serve 95.6M 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.
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.
Sorting: Highest -> Lowest
Showing 10 of 4,154 companies ranked by annual revenue.
San Francisco, California, United States
AI research company that builds Claude, an AI assistant for tasks at any scale
San Francisco, California, United States
Cognition AI is an applied AI lab focused on building end-to-end software agents that act as collaborative AI teammates.
Hangzhou, China
DeepSeek (深度求索), founded in 2023, is a Chinese company dedicated to making AGI a reality. Unravel the mystery of AGI with curiosity. Answer the essential question with long-termism. 🐋
San Francisco, California, United States
Higgsfield AI is a technology company dedicated to making advanced video creation tools accessible to creators worldwide. It focuses on democratizing social media video content creation using AI technology.
Beijing, China
Moonshot AI is an artificial intelligence company that specializes in creating AI chatbots and utilizes large language models for various applications.
San Francisco, California, United States
The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.
New York, New York, United States
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.
Latka tracks 4,154 generative AI software companies with reported revenue. Together they generate $147.8B in annual revenue and employ 164.6K people.
Anthropic is the largest, with $65B in annual revenue, founded in 2021.
The average generative AI software company in this list makes $35.6M a year, across 4,154 companies with reported revenue. They serve 95.6M customers combined.
Ranked by annual revenue, the leaders are Anthropic, OpenAI, micro1, Cognition AI and DeepSeek.
The 4,154 generative AI software companies tracked here have raised $271.1B in disclosed funding between them.
- 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.