MLOps Software Companies

MLOps (Machine Learning Operations) software refers to a set of tools, practices, and processes that facilitate the development, deployment, monitoring, and management of machine learning models in production environments.

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  • Overall Reference Rating 4.8
    MLOps Software

    Strong Compute, a Sydney, Australia-based startup that helps developers remove the bottlenecks in their machine learning training pipelines, today announced that it has raised a $7.8 million seed round. The …

  • Overall Reference Rating 4.8
    MLOps Software

    Kortical - end to end ML platform - editable in code, built for data scientists to assist with preparing data, building ML models, deploying scalable models with a few clicks …

  • Overall Reference Rating 4.8
    MLOps Software

    CognitiveScale is an enterprise AI software company with solutions that help customers win with intelligent, transparent and trusted AI/ML powered digital systems. Their Cortex software and industry AI accelerators enable …

  • Overall Reference Rating 4.8
    MLOps Software

    dotData is a leading provider of AI‑powered feature and insight discovery platforms that help financial institutions unlock the full value of their data and transform how they manage risk, grow …

  • Overall Reference Rating 4.8
    MLOps Software

    Skytree machine-learning platform is built for speed and scalability, building the most accurate machine learning models, faster. Skytree machine learning software delivers an end-to-end model building experience, from data preparation …

  • Overall Reference Rating 4.8
    MLOps Software

    Galileo is building the data intelligence toolchain for machine learning developers working with unstructured data - over 80% of the world's data today. Galileo is currently powering ML teams across …

  • Overall Reference Rating 4.8
    MLOps Software

    Intel Tiber AI Studio is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built …

  • Overall Reference Rating 4.8
    MLOps Software

    Qwak is the first ML engineering platform, with a clear mission statement, To remove the last barrier from data science in order to make your company ML driven. Qwak is …

  • Overall Reference Rating 4.8
    MLOps Software

    Union.ai enable software users with the tools to take their ideas from conception to high quality production. They believe that orchestration is the foundational technology that will power data and …

  • Overall Reference Rating 4.8
    MLOps Software

    Datature simplifies the way people build deep-learning capabilities. Using Nexus, our end-to-end #nocode mlops platform, we enable everyone to create AI breakthroughs of their own.

  • Overall Reference Rating 4.8
    MLOps Software

    Factory is an AI company, backed by Sequoia Capital, bringing autonomy to software engineering. Factory is one of the first organizations globally to adhere to the new ISO 42001 standard …

  • Overall Reference Rating 4.8
    MLOps Software

    NVIDIA Run:ai accelerates AI and machine learning operations by addressing key infrastructure challenges through dynamic resource allocation, comprehensive AI life-cycle support, and strategic resource management. By pooling resources across environments …

  • Overall Reference Rating 4.8
    MLOps Software

    Hopsworks is a world-class technology company in the artificial intelligence field founded by a group of world-class technology practitioners. Their mission is to build the world’s most scalable, secure, reliable, …

  • Overall Reference Rating 4.8
    MLOps Software

    Hasty.ai data-centric ML platform allows companies with unique data to build and deploy vision AI applications faster and more reliably across any infrastructure – helping you bring value-added services to …

  • Overall Reference Rating 4.8
    MLOps Software

    Falkon is a Greylock & Trilogy backed company. As product, engineering and research veterans from Amazon, Dropbox, Zulily, Microsoft and Amperity, they have lived through years of bad metrics meetings. …