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Top 233 AI Code Generation Software SaaS Companies in May 2026

As of May 2026, there are 233 SaaS companies in AI Code Generation Software. They have combined revenues of $6.5B and employ 10.1K people. They have raised $28.7B and serve 1.3M customers combined.

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
233
Revenue
$6.5B
Funding
$28.7B
Employees
10.1K

Filters

Sorting: Highest -> Lowest

Filters

Top AI Code Generation Software Companies

Showing 10 of 20 companies ranked by annual revenue.

1
Devin AI

San Francisco, California, United States

The first AI software engineer. We are an applied AI lab building end-to-end software agents. We’re building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.

Revenue
$75M
Customers
-
Year founded
2024
Funding
$196M
Team size
84
Growth
-
2
Wolfram

Champaign, Illinois, United States

Founded by Stephen Wolfram in 1987, Wolfram Research is one of the world's most respected computer, web, and cloud software companies—as well as a powerhouse of scientific and technical innovation. As pioneers in computation and computational knowledge, we have pursued a long-term vision to develop the science, technology, and tools to make computation an ever-more-potent force in today's and tomorrow's world. Over the course of more than a quarter of a century, we have progressively built an unprecedented base of technology that now makes possible our broad portfolio of innovative products. At the center is the revolutionary Wolfram Language, which defines a unique convergence of computation and knowledge.

Revenue
$70M
Customers
-
Year founded
1987
Funding
-
Team size
636
Growth
-25.26%
3
stackoverflow.ai

New York, NY, United States

stackoverflow.ai is an AI-powered search and discovery tool designed to modernize the Stack Overflow experience by helping developers get answers instantly, learn along the way and provide a path into the community.

Revenue
$67.4M
Customers
-
Year founded
2008
Funding
-
Team size
613
Growth
-
4
Poolside AI

Paris, France

A model built specifically for the challenges of modern software engineering. Fine-tune our model on how your business writes software, using your practices, libraries, APIs, and knowledge bases. Your proprietary model that continuously learns how your developers write code. You become an AI company. The poolside stack can be deployed to your own infrastructure. No data or code ever leaves your security boundary. Ideal for highly regulated industries like Financial Services, Defense, Technology as well as Retail, Tech and Systems Integrators.

Revenue
$50M
Customers
-
Year founded
2023
Funding
$625M
Team size
256
Growth
66.67%
5
Emergent.sh

California, United States

Unlike traditional no-code platforms that focus on simple prototypes or single-function tools, Emergent delivers production-grade, full-stack web and mobile applications complete with frontend, backend, database integration, and deployment - all from a single natural language prompt.

Revenue
$50M
Customers
1M
Year founded
2025
Funding
$100M
Team size
70
Growth
-
6
Driver AI

, United States

Understand millions of lines of code in minutes.

Revenue
$48.8M
Customers
-
Year founded
2023
Funding
-
Team size
359
Growth
-
7
01.AI

Beijing, China

open-source AI model startup

Revenue
$30.5M
Customers
-
Year founded
2023
Funding
$300M
Team size
78
Growth
52.5%
8
Sakana AI

Tokyo, Japan

Sakana AI is a Japanese artificial intelligence company based in Tokyo, specializing in developing AI models that can generate text, images, video, code, and multimedia, drawing inspiration from natural phenomena such as evolution and natural selection.

Revenue
$30M
Customers
-
Year founded
2023
Funding
$365M
Team size
102
Growth
-
9
LMArena

San Francisco, United States

Created by researchers from UC Berkeley, LMArena is an open platform where everyone can easily access, explore, and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage.

Revenue
$30M
Customers
100
Year founded
2025
Funding
$250M
Team size
41
Growth
-
10
Reflection AI

Brooklyn, New York, United States

Reflection was founded by former DeepMind and OpenAI researchers to build superintelligent coding agents. We previously built the most powerful LLM (ChatGPT, Gemini) and agent (AlphaGo, AlphaZero) systems in the world. At Reflection, we’re building autonomous AI systems that will soon help us accomplish virtually any cognitive task on a computer. We believe that coding is the root node problem that unlocks general computer use. In the near future large language models will interact with all software through code. https://tryasimov.reflection.ai/asimov-waitlist

Revenue
$20M
Customers
-
Year founded
2024
Funding
$2.1B
Team size
79
Growth
-

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.