1
LeO
New York, New York, United States
AI-scaling platform for digital transformation tailored to the insurance industry.
- Revenue
- $10M
- Customers
- -
- Year founded
- 2017
- Funding
- $11.1M
- Team size
- 153
- Growth
- -
Top 4,527 Generative AI Software SaaS Companies in July 2026
As of July 2026, there are 4,527 SaaS companies in Generative AI Software. They have combined revenues of $69.2B and employ 236K people. They have raised $209B and serve 195.7M customers combined.
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.
Filters
Sorting: Highest -> Lowest
Top Generative AI Software Companies
Showing 10 of 410 companies ranked by annual revenue.
2
Airstrip AI
Mountain View, California, United States
Airstrip is an AI-powered legal co-pilot for your startup. Airstrip provides compliant personalized legal documents for your use case, provides AI powered personalized legal assistance, and provides expert insights. Launch confidently with Airstrip! ✈️
- Revenue
- $10M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 2
- Growth
- -
- Revenue
- $10M
- Customers
- -
- Year founded
- 2019
- Funding
- -
- Team size
- 8
- Growth
- -
4
Exa
San Francisco, California, United States
Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.
- Revenue
- $10M
- Customers
- -
- Year founded
- 2021
- Funding
- $335M
- Team size
- 90
- Growth
- 110.53%
5
Pieces for Developers
Cincinnati, Ohio, United States
Pieces is an AI-enabled productivity tool designed to supercharge developer efficiency. It unifies the entire toolchain with an on-device copilot that helps capture, enrich, and reuse useful materials, streamline collaboration, and solve complex problems through a contextual understanding of your workflow
- Revenue
- $10M
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 59
- Growth
- -
6
Contentor - AI Localisation
Sweden
AI enabled scalable localisation for e-commerce. We help companies to enter new markets - as fast as you want.
- Revenue
- $9.9M
- Customers
- -
- Year founded
- 2008
- Funding
- $361.7K
- Team size
- 90
- Growth
- -
7
Revuze
Palo Alto, California, United States
Revuze is a leader in Generative AI analysis for online reviews, revolutionizing the consumer insights landscape. With years of experience leveraging LLM training, Revuze unlocks the full potential of insights from verified buyers across multiple e-commerce sources. Our cutting-edge solutions empower businesses to seamlessly integrate review analytics into their marketing and product processes, enabling strategic decision-making. Through high-quality data, insightful predictions, and scalable capabilities across sources and regions, we offer real-time analysis with intuitive features, dynamic dashboards, and comprehensive reports. From data collection to final visualization, Revuze’s end-to-end solutions ensure you can navigate the rapidly changing landscape of your categories and confidently make daily data-driven decisions. Discover the power of Revuze, the GPT of the consumer insights industry, and gain a deeper understanding of your customers and competitors.
- Revenue
- $9.9M
- Customers
- -
- Year founded
- 2013
- Funding
- -
- Team size
- 90
- Growth
- -
8
ClayHR
Reston, Virginia, United States
Gartner Cool Vendor for Human Capital Management, ClayHR is the AI powered HCM system for fast growing mid-sized enterprises. With an open API, rich data integrations and highly configurable platform, ClayHR enables you to hire the best candidates, easily onboard your employees, guide their performance and train and retaining your best talent. ClayHR was launched in 2013, and has customers spanning multiple industries across North America, South America, Europe, Africa and Asia Pacific. Completely cloud based application available via your favorite web browsers and native iOS and Android mobile apps. 100+ integrations with Indeed, ZipRecruiter, Monster, Slack, Jira, and others.
- Revenue
- $9.9M
- Customers
- -
- Year founded
- 2013
- Funding
- -
- Team size
- 90
- Growth
- -
- Revenue
- $9.9M
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 66
- Growth
- -
10
SuperAGI
Palo Alto, California, United States
SuperAGI is an open-source autonomous AI agent framework designed for developers to build, manage, and run autonomous agents efficiently. It supports concurrent agent operations, integrates with various tools, and provides a graphical user interface for easy interaction. The framework is scalable, allowing for complex AI operations, and includes features like performance telemetry, agent memory storage, and optimized token usage to enhance functionality and cost management.
- Revenue
- $9.9M
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 90
- Growth
- -
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.