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Top 10 Generative AI Software Companies (November 2026)

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.

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
4,154
Revenue
$147.8B
Funding
$271.1B
Employees
164.6K

Filters

Sorting: Highest -> Lowest

Filters

Top Generative AI Software Companies by revenue

Showing 10 of 4,154 companies ranked by annual revenue.

1Anthropic logo
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
Growth
1200%
2OpenAI logo
OpenAI

San Francisco, United States

AI research and deployment company

Revenue
$50B
Customers
2M
Year founded
2015
Funding
$138.1B
Team size
4.5K
Growth
150%
3micro1 logo
micro1

Palo Alto, California, United States

World-class software engineers, powered by AI

Revenue
$1B
Year founded
2021
Funding
$38.3M
Team size
326
Growth
900%
4Cognition AI logo
Cognition AI

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.

Revenue
$1B
Year founded
2023
Funding
$1.8B
Team size
360
Growth
1150%
5DeepSeek logo
DeepSeek

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. 🐋

Revenue
$1B
Year founded
2023
Funding
$7B
Team size
122
Growth
7351.56%
6Higgsfield AI logo
Higgsfield AI

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.

Revenue
$1B
Customers
2M
Year founded
2023
Funding
$188M
Team size
101
Growth
1624.14%
7Moonshot AI logo
Moonshot AI

Beijing, China

Moonshot AI is an artificial intelligence company that specializes in creating AI chatbots and utilizes large language models for various applications.

Revenue
$1B
Year founded
2023
Funding
$1B
Team size
80
Growth
316.67%
8Perplexity logo
Perplexity

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.

Revenue
$750M
Customers
15M
Year founded
2022
Funding
$1.2B
Team size
1.4K
Growth
650%
9Travel AI logo
Travel AI

London, England, United Kingdom

Travel AI company profile and metrics.

Revenue
$696.3M
Year founded
2022
10Eleven Labs logo
Eleven Labs

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.

Revenue
$600M
Year founded
2022
Funding
$781M
Team size
400
Growth
81.82%

Frequently asked questions about Generative AI Software Companies

How many generative AI software companies are there?

Latka tracks 4,154 generative AI software companies with reported revenue. Together they generate $147.8B in annual revenue and employ 164.6K 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 $35.6M a year, across 4,154 companies with reported revenue. They serve 95.6M customers combined.

Who are the leading Generative AI software vendors?

Ranked by annual revenue, the leaders are Anthropic, OpenAI, micro1, Cognition AI and DeepSeek.

How much funding have generative AI software companies raised?

The 4,154 generative AI software companies tracked here have raised $271.1B 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.