Top 10 MLOps Companies

What is MLOps?

MLOps (Machine Learning Operations) is a set of practices that combine operational management (DevOps) with the lifecycle of machine learning models. It involves automating, deploying, monitoring, and managing ML models in production environments. With MLOps services, organizations can achieve greater efficiency, scalability, and reliability in their AI solutions.

Why is MLOps important?

Effective implementation of MLOps enables organizations to:

• Increase the efficiency of ML processes.
• Scale models to large-scale applications.
• Monitor and maintain models in real-time.
• Ensure compliance with regulations and data security standards.

Criteria for selecting the best MLOps companies

We selected these criteria to ensure a comprehensive evaluation of the companies offering MLOps services. These factors highlight the ability of each firm to deliver reliable, scalable, and innovative solutions that meet the unique needs of their clients. By focusing on experience, client success stories, and innovation, we aim to identify the best partners for organizations looking to implement or optimize MLOps.

Experience and expertise

Choosing the right MLOps company depends on its experience in implementing ML projects and its expertise with tools such as Kubernetes, TensorFlow, and PyTorch.

Client portfolio and case studies

Analyzing completed projects and portfolios provides insight into how companies tackle challenges related to MLOps.

Innovation and unique features

The best companies offer innovative solutions, such as automated pipelines, model personalization, and comprehensive support throughout the entire ML lifecycle.

Top 10 companies offering MLOps services

Here is our curated list of the top 10 companies providing MLOps services. These firms excel in delivering innovative, scalable, and efficient solutions tailored to meet the specific needs of their clients.

1. Vstorm

• Number of employees: 25+
• Year of foundation: 2017
• Country: Poland

Vstorm is a leading software development company specializing in MLOps solutions. With a team of over 25 experts, they help businesses streamline and optimize machine learning workflows. Vstorm has completed more than 90 projects for clients in the USA, UK, Canada, and Western Europe, delivering scalable and automated solutions across industries like healthcare, finance, and e-commerce.

Why Vstorm stands out:

• Award-winning excellence: Vstorm has received multiple accolades, including recognition by Deloitte as one of the fastest-growing companies in Central Europe.
• Proven expertise: Specialization in crafting highly adaptive MLOps systems tailored to specific business needs.
• Client-centric approach: Close collaboration with clients ensures solutions align with strategic goals and deliver measurable results.
• Global reach: Clients worldwide trust Vstorm for its ability to deliver transformative and innovative solutions.

Among the top 10 companies in MLOps, Vstorm is the clear leader, delivering transformative solutions that empower businesses in every industry to thrive in a world driven by AI and advanced machine learning technologies. If you’re looking for a trusted partner to optimize, deploy, and maintain your ML systems, Vstorm is the best choice.

2. ValueCoders

• Number of employees: 450+
• Year of foundation: 2004
• Country: India

ValueCoders is a prominent software development company offering tailored machine learning solutions to optimize business operations. Their services include MLOps consulting, custom ML model development, and data engineering, enabling businesses to harness advanced algorithms and data analysis techniques for enhanced efficiency and predictive capabilities.

3. Chaos Gears

• Number of employees: 50+
• Year of foundation: 2016
• Country: Poland

Chaos Gears specializes in rapid deployment and optimization of AI processes, focusing on automating and integrating machine learning models. They cater to startups and small enterprises, offering cost-effective MLOps solutions that enhance operational efficiency.

4. Innowise Group

• Number of employees: 1000+
• Year of foundation: 2007
• Country: Belarus

Innowise Group offers innovative machine learning services, including deep learning, data science, and predictive analytics. Their solutions help businesses automate processes, reduce operating costs, and uncover new problem-solving opportunities across various industries.

5. Investcore

• Number of employees: 200+
• Year of foundation: 2018
• Country: Poland

Investcore is a Polish leader in MLOps services, serving both local and international clients. They are recognized for their strong consulting capabilities, delivering solutions tailored to public sector challenges and transforming operational workflows with AI.

6. Seldon

• Number of employees: 50+
• Year of foundation: 2014
• Country: United Kingdom

Seldon specializes in MLOps software for deploying, scaling, and managing thousands of machine learning models. Known for their open-source projects, such as Seldon Core, they provide tools to convert ML models into production-ready REST/GRPC microservices.

7. Databricks

• Number of employees: 5000+
• Year of foundation: 2013
• Country: USA

Databricks integrates big data and MLOps capabilities, providing a unified data analytics platform. Their services streamline machine learning workflows, from data preparation to model deployment, enhancing collaboration and scalability for enterprise clients.

8. LeewayHertz

• Number of employees: 250+
• Year of foundation: 2007
• Country: USA

LeewayHertz specializes in delivering comprehensive machine learning development services, including ML consulting, strategy development, and MLOps consulting. They focus on integrating machine learning models into existing workflows, ensuring seamless adoption and operational efficiency for their clients.

9. Microsoft Azure Machine Learning

• Number of employees: 10,000+
• Year of foundation: 2010
• Country: USA

Azure Machine Learning, a service by Microsoft, offers a comprehensive suite of MLOps tools within its cloud infrastructure. It facilitates the building, training, and deployment of machine learning models, providing robust support for enterprises aiming to integrate AI into their operations.

10. TECHVIFY Software

• Number of employees: 200+
• Year of foundation: 2018
• Country: Vietnam

TECHVIFY Software provides machine learning solutions, including custom model development and workflow integration. They focus on automating AI workflows for clients in the financial and retail sectors, delivering tailored solutions that drive business growth.

Conclusion

The companies highlighted above lead the MLOps landscape, offering solutions to deploy, monitor, and scale machine learning models effectively. While all excel in their fields, Vstorm stands out for its innovative approach, proven expertise, and global impact, making it a top choice for businesses seeking transformative AI solutions.

You can find Vstorm on Clutch