1
Databricks
San Francisco, California, United States
a cloud-based data engineering, data science, and machine learning platform
- Revenue
- $5.4B
- Customers
- 10K
- Year founded
- 2013
- Funding
- $9B
- Team size
- 8K
- Growth
- 45.95%
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As of August 2026, there are 3,995 SaaS companies in AI & Machine Learning Operationalization (MLOps) Software. They have combined revenues of $48.1B and employ 272K people. They have raised $51.2B and serve 3.1B customers combined.
AI & Machine Learning Operationalization (MLOps) software refers to a suite of tools and practices designed to facilitate the deployment, monitoring, and management of machine learning models in production environments. These solutions aim to streamline the entire machine learning lifecycle, enabling teams to transition from model development to operationalization more efficiently. MLOps software addresses critical stages such as model training, versioning, and continuous integration/continuous deployment (CI/CD), allowing organizations to rapidly iterate and improve their models over time. The primary use cases for MLOps software span various industries, including healthcare, finance, and retail, where organizations apply machine learning to enhance decision-making, forecasting, and operational efficiency. Typical features of MLOps platforms include automated workflows, data management tools, and model performance monitoring, which help ensure that deployed models operate optimally. Common buyer personas typically include data scientists, machine learning engineers, IT operations teams, and project managers focused on leveraging AI technologies to drive business outcomes.
Sorting: Highest -> Lowest
Showing 10 of 3,995 companies ranked by annual revenue.
San Francisco, California, United States
a cloud-based data engineering, data science, and machine learning platform
San Francisco, California, United States
AI-powered technology enabler and digital transformer of American…
- The software must provide capabilities for model deployment and management in production environments. - It should enable monitoring and maintenance of machine learning models post-deployment. - The solution must facilitate collaboration among data scientists and operations teams through streamlined workflows. - It should support version control and rollback features for models. - Not just a data analytics tool; must also offer integrated machine learning lifecycle management functionalities.
San Francisco, California, United States
The world's most powerful data labeling and RLHF platform, designed for the next generation of AI
Seoul, South Korea
MegazoneCloud accelerates your journey to the AI era with comprehensive cloud, AI, and cybersecurity solutions.
Munich, Bayern, Germany
process mining platform to help businesses analyze, visualize, and optimize their processes.
Los Angeles, California, United States
Metropolis is a proprietary AI- and computer vision-based operating system designed to revolutionize parking management and support the advancement of mobility capabilities.
Las Vegas, Nevada, United States
TELUS Digital AI & Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI ...
London, United Kingdom
Harnessing the power of artificial intelligence to create realistic, adaptable simulations for pilot training, aircraft design testing, air traffic management scenarios, and more. Enhance safety, efficiency, and decision-making in the aviation industry with AI -powered virtual environments.
San Francisco, California, United States
We are a tech-enabled service providing solutions to the world’s most complex business problems. Driven by our proprietary process orchestration platform, we seamlessly integrate advanced AI and automation with a global network of over 3,500 experts. This powerful combination delivers new capabilities and eliminates barriers to execution for our clients, unlocking unprecedented efficiency, scale, and growth opportunities.
