1
Anthropic
San Francisco, California, United States
AI research company that builds Claude, an AI assistant for tasks at any scale
- Revenue
- $47B
- Customers
- 300K
- Year founded
- 2021
- Funding
- $87.6B
- Team size
- 2.3K
- Growth
- 840%
Top 5 AI Code Generation Software Companies $100M+ Revenue (August 2026)
As of August 2026, Latka tracks 5 AI code generation software companies with $100M+ in annual revenue. They have combined revenues of $47.9B and employ 3.4K people. They have raised $89B and serve 300K customers combined.
Every company below sells AI code generation 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 AI Code Generation Software Companies do
AI Code Generation Software refers to tools that utilize artificial intelligence algorithms to automate the process of writing code. These tools are designed to assist developers by generating code snippets, functions, and even entire applications based on input requirements. Their primary use cases include enhancing productivity, reducing repetitive coding tasks, and improving code quality through AI-driven suggestions. Typical features of AI Code Generation Software include natural language processing for understanding user input, integration with code editing environments, and the ability to learn from existing codebases. Common buyer personas for these tools typically include software developers, DevOps engineers, and technical project managers, who are looking to streamline their development processes and accelerate delivery timelines.
- Companies
- 5
- Revenue
- $47.9B
- Funding
- $89B
- Employees
- 3.4K
Filters
Sorting: Highest -> Lowest
Top AI Code Generation Software Companies $100M+ Revenue
Showing 5 of 5 companies ranked by annual revenue.
2
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%
- Revenue
- $168M
- Year founded
- 2012
- Funding
- $618.3M
- Team size
- 57
- Revenue
- $148M
- Funding
- $195M
5
Factory
Sydney, New South Wales, Australia
Factory is a developer of an AI-based platform for computer codes and software engineering. Its platform reviews code, addresses bugs, answers questions, and transforms software development with AI.
- Revenue
- $129M
- Year founded
- 2023
- Team size
- 868
Frequently asked questions about AI Code Generation Software Companies $100M+ Revenue
How many AI code generation software companies with $100M+ in annual revenue are there?
Latka tracks 5 AI code generation software companies with $100M+ in annual revenue. Together they generate $47.9B in annual revenue and employ 3.4K people.
Which AI code generation software company with $100M+ in annual revenue is the largest?
Anthropic is the largest, with $47B in annual revenue, founded in 2021.
How much revenue does a typical AI code generation software company with $100M+ in annual revenue make?
The average AI code generation software company in this list makes $9.6B a year, across 5 companies with reported revenue. They serve 300K customers combined.
Who are the leading AI Code Generation software vendors with $100M+ in annual revenue?
Ranked by annual revenue, the leaders are Anthropic, Lovable, Zhipu AI, GOAT and Factory.
How much funding have AI code generation software companies with $100M+ in annual revenue raised?
The 5 AI code generation software companies with $100M+ in annual revenue tracked here have raised $89B in disclosed funding between them.
Related Artificial Intelligence Software categories
Inclusion Criteria
- The software must generate code based on user input or specifications. - It should support multiple programming languages or be adaptable to various coding environments. - Must integrate with common development tools like IDEs (Integrated Development Environments). - Should provide features for code optimization and error correction. - Not just a code editor; must include AI-driven suggestions and automation. - Must be suitable for use by both novice and experienced developers.