Top MLOps Companies in Poland

Algomine focuses on monetizing data through end-to-end AI-driven solutions, emphasizing the importance of MLOps for deploying machine learning models at scale. Their expertise in digital transformation and AI adoption enables organizations to successfully integrate and optimize their AI lifecycle.

The company emphasizes its expertise in MLOps, highlighting the implementation process and its own MLOps Framework, which transforms how organizations leverage machine learning. Their full-stack AI and machine learning solutions are designed to convert business data into actionable insights, addressing the challenges of data management across various industries.

MLJAR offers innovative tools for MLOps, including AutoML and support for deploying machine learning models with Django. Their focus on collaboration and detailed documentation for each model enhances the data science workflow, making it an ideal resource for teams dedicated to effective data analysis.

Deepstributed Ltd. provides Machine Learning Engineers with a platform to seamlessly run and manage their experiments by integrating code, hyperparameters, datasets, and models in one place. Their tools simplify the setup, queuing, parameterization, iteration, and distribution of experiments across multiple GPUs, addressing key challenges faced by MLOps professionals.

Neptune offers a configurable UI that allows ML teams to organize and visualize model metadata effectively, facilitating collaboration throughout the model development process. With features for versioning production-ready models and sharing insights, Neptune streamlines workflows and enhances teamwork, making it a trusted choice for over 500 leading ML teams.

Elitmind specializes in Machine Learning and AI consulting services, focusing on Microsoft Azure Data & AI technologies. They have successfully delivered over 300 Data & AI solutions across various industries, highlighting their expertise and strategic partnership with Microsoft.

CrossLogic Consulting emphasizes the importance of implementing CI/CD pipelines to streamline the deployment process, which is crucial for MLOps. They offer expertise in cloud architecture, security, and monitoring, allowing application developers to concentrate on building applications while ensuring efficient and automated deployment practices.

The company specializes in transforming scientific and technological concepts into business solutions, offering end-to-end models for data classification, forecasting, and clustering. Their expertise in data analysis and integration positions them as valuable partners in implementing machine learning and data analytics services.

DevOpsBox is a fully automated Internal Developer Platform that simplifies the application development process and streamlines IT services. This modular platform, based on open standards, allows teams to focus on business functionality development, which can be particularly beneficial in the MLOps context.

The company offers a platform that seamlessly integrates multiple AI solutions into radiology workflows, enhancing productivity and reducing costs for radiologists. Their one-stop-shop approach provides access to clinically validated AI models, supporting effective integration of various AI vendors.