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%
Top 50 AI & Machine Learning Operationalization (MLOps) Software Companies (August 2026)
As of August 2026, Latka tracks 4,006 AI & machine learning operationalization (MLOps) software companies. They have combined revenues of $48.3B and employ 273K people. They have raised $51.2B and serve 3.1B customers combined.
Every company below sells AI & machine learning operationalization (MLOps) 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 & Machine Learning Operationalization (MLOps) Software Companies do
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.
- Companies
- 4,006
- Revenue
- $48.3B
- Funding
- $51.2B
- Employees
- 273K
Filters
Sorting: Highest -> Lowest
Top AI & Machine Learning Operationalization (MLOps) Software Companies by revenue
Showing 10 of 4,006 companies ranked by annual revenue.
2
GrubMarket
San Francisco, California, United States
AI-powered technology enabler and digital transformer of American…
- Revenue
- $2.4B
- Year founded
- 2014
- Funding
- $515M
- Team size
- 115
- Growth
- 20%
3
Surge AI
San Francisco, California, United States
The world's most powerful data labeling and RLHF platform, designed for the next generation of AI
- Revenue
- $1.4B
- Year founded
- 2018
- Funding
- $25M
- Team size
- 121
- Growth
- 12.5%
4
MegazoneCloud
Seoul, South Korea
MegazoneCloud accelerates your journey to the AI era with comprehensive cloud, AI, and cybersecurity solutions.
- Revenue
- $1.2B
- Year founded
- 2018
- Funding
- $510M
- Team size
- 1K
5
Celonis
Munich, Bayern, Germany
process mining platform to help businesses analyze, visualize, and optimize their processes.
- Revenue
- $771M
- Customers
- 500
- Year founded
- 2011
- Funding
- $2.4B
- Team size
- 3.7K
6
Metropolis
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.
- Revenue
- $580M
- Year founded
- 2017
- Funding
- $1.8B
- Team size
- 603
7
TELUS Digital AI Data Solutions
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 ...
- Revenue
- $507.1M
- Year founded
- 2005
- Funding
- $1.6M
- Revenue
- $500M
- Customers
- 4K
- Year founded
- 2015
- Funding
- $583M
- Team size
- 1.3K
9
Simulation 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.
- Revenue
- $459.4M
10
Invisible
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.
- Revenue
- $409.9M
- Year founded
- 2015
- Team size
- 2.8K
Frequently asked questions about AI & Machine Learning Operationalization (MLOps) Software Companies
How many AI & machine learning operationalization (MLOps) software companies are there?
Latka tracks 4,006 AI & machine learning operationalization (MLOps) software companies with reported revenue. Together they generate $48.3B in annual revenue and employ 273K people.
Which AI & machine learning operationalization (MLOps) software company is the largest?
Databricks is the largest, with $5.4B in annual revenue, founded in 2013.
How much revenue does a typical AI & machine learning operationalization (MLOps) software company make?
The average AI & machine learning operationalization (MLOps) software company in this list makes $12.1M a year, across 4,006 companies with reported revenue. They serve 3.1B customers combined.
Who are the leading AI & Machine Learning Operationalization (MLOps) software vendors?
Ranked by annual revenue, the leaders are Databricks, GrubMarket, Surge AI, MegazoneCloud and Celonis.
How much funding have AI & machine learning operationalization (MLOps) software companies raised?
The 4,006 AI & machine learning operationalization (MLOps) software companies tracked here have raised $51.2B in disclosed funding between them.
Related Artificial Intelligence Software categories
Inclusion Criteria
- 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.