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Oreflow MLOps Platform
Your Gateway to Scalable
ML on Kubernetes
Unlock the Power
of Machine Learning
with Oreflow MLOps Platform
Oreflow is an advanced on-prem platform that simplifies the management of the life cycle of ML models on Kubernetes, making it portable and scalable. Whether you’re experimenting on a laptop, deploying to an on-premises cluster or scaling to the cloud, Oreflow provides a seamless experience.
Oreflow is dedicated to providing a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Our goal is not to recreate other services but to enable easy, repeatable and portable deployments on any Kubernetes environment.
Revolutionizing Data-Driven Decision-Making
Oreflow transforms how organizations approach machine learning, offering a streamlined and efficient process for managing ML workflows on Kubernetes.
Effortless Deployment:
Oreflow deployments streamline the entire machine learning lifecycle on Kubernetes, enabling seamless scaling from experimentation to production while fostering collaboration and reproducibility.
Versatile Infrastructure:
Deploy ML workloads locally, on-premises, or in the cloud, adapting to your specific environment and choosing optimal platforms for each ML workflow stage.
Comprehensive ML Lifecycle Management:
Oreflow supports the entire machine learning lifecycle, from data preparation and model training to prediction serving and service management, ensuring a seamless and integrated experience.
Dynamic Scalability:
Take advantage of Kubernetes’s powerful capabilities to scale your ML operations based on demand. Oreflow’s architecture allows you to manage and deploy loosely-coupled microservices efficiently, ensuring optimal performance at all times.
Tailored Customization:
Oreflow handles the complexities of deployment and scaling, allowing you to focus on what matters most—driving data-driven insights and making informed decisions.
Why Oreflow
Streamline ML deployments, scale operations effortlessly, and make informed, data-driven decisions with Oreflow.
User-Friendly Deployment:
Experience hassle-free deployments with minimal configuration.
Unmatched Flexibility:
Support various deployment environments, from local setups to cloud infrastructures.
Enhanced Efficiency:
Optimize resource management and streamline the ML lifecycle for peak performance.
Collaborative Workspace:
Foster teamwork and resource sharing among data science teams.
Secure Data Integration:
Access and process big data while maintaining security and permissions.
Supercharge Your
Business with Oreflow
Integrate Oredata’s Oreflow with comprehensive data, cloud, and end-to-end services to unlock valuable insights and automate processes, elevating customer experiences. Trust Oredata’s expertise to drive your organization forward in today’s rapidly evolving technological landscape. Designed for precision and efficiency, Oreflow is your key to leveraging the full potential of machine learning.
OreFlow was developed with the support of the TÜBİTAK-TEYDEB Support Program (Project No: 3211397).
However, all responsibility for the product lies with Oredata.
However, all responsibility for the product lies with Oredata.