1
Databricks
San Francisco, California, United States
a cloud-based data engineering, data science, and machine learning platform
- Revenue
- $3.7B
- Customers
- 10K
- Year founded
- 2013
- Funding
- $4B
- Team size
- 12.3K
- Growth
- 54.17%
Top 3,992 AI & Machine Learning Operationalization (MLOps) Software SaaS Companies in May 2026
As of May 2026, there are 3,992 SaaS companies in AI & Machine Learning Operationalization (MLOps) Software. They have combined revenues of $45.7B and employ 280.3K people. They have raised $41.7B 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.
Filters
Sorting: Highest -> Lowest
Top AI & Machine Learning Operationalization (MLOps) Software Companies
Showing 10 of 3,992 companies ranked by annual revenue.
2
GrubMarket
San Francisco, California, United States
AI-powered technology enabler and digital transformer of American…
- Revenue
- $2.4B
- Customers
- -
- 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
- Customers
- -
- 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
- Customers
- -
- Year founded
- 2018
- Funding
- $510M
- Team size
- 1K
- Growth
- -7.69%
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
- Growth
- -
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
- Customers
- -
- Year founded
- 2017
- Funding
- $1.8B
- Team size
- 603
- Growth
- 430.37%
7
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
- Customers
- -
- Year founded
- 2015
- Funding
- -
- Team size
- 2.8K
- Growth
- -
8
DemandScience
Danvers, Massachusetts, United States
DemandScience is the premier AI-powered, B2B demand generation company accelerating global growth for our clients. The DemandScience intelligence platform empowers B2B organizations to swiftly identify the right accounts and target in-market buyers with precision. By combining groundbreaking technologies and AI innovation, the company ensures timely delivery of accurate data, intelligence, and insights, adding value to the end-to-end journey from initial engagement to conversion. Founded in 2012, DemandScience provides 1,500 global customers with superior marketing solutions, B2B data, and leads.
- Revenue
- $381.6M
- Customers
- 1.5K
- Year founded
- 2012
- Funding
- -
- Team size
- 1.1K
- Growth
- 27.2%
9
Cartrack
United States
Cartrack is a leading global Software-as-a-Service (SaaS) platform provider for small, medium and large businesses, as well as consumers needing a software platform for data analytics to optimise fleets, driver behaviour, insurance risk, safety and asset recovery. Data analytics remain Cartrack’s primary offering, in addition to growing its artificial intelligence and value-added services to deliver a tangible return on investment to its subscribers. Cartrack is also renowned for its agility and speed in developing innovative, first-to-market solutions that are aimed at further enhancing the customer experience. Cartrack’s impressive organic growth since being launched in South Africa in 2004 has resulted in an extensive footprint in 23 countries across Africa, Europe, North America, Asia Pacific, and the Middle East. With an active subscriber base in excess of 1.5 million, the Group ranks among the largest of its peer companies globally. Cartrack is a vertically integrated service-centric organisation owning all its unique intellectual property and business processes, ranging from in-house design, device and software development, mobile-technical workshops and sales. Hence, Cartrack is in full control of delivering superior service while also protecting its industry-leading margins and clean balance sheet.
- Revenue
- $355.6M
- Customers
- -
- Year founded
- 2004
- Funding
- -
- Team size
- 3.2K
- Growth
- -
10
Invisible Technologies
San Francisco, California, United States
Developer of a synthetic intelligence platform intended to automate daily office tasks. The company's platform can operate a digital assembly line that can perform multiple time-consuming processes at once, enabling clients to focus on creative work that only they can do.
- Revenue
- $336.3M
- Customers
- -
- Year founded
- 2015
- Funding
- $7.9M
- Team size
- 3.1K
- Growth
- -
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.