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

    V7

    MLOps Software

    V7 is a leading the era of AI-first software. V7 offers a complete toolkit for your training data engine: Automated labeling tools, models in the loop, annotation services, and a …

  • Overall Reference Rating 4.8

    Iguazio

    Verified
    MLOps Software

    Iguazio brings data science to life, with a platform for enterprises to automate MLOps and cut the time to impact of AI projects. With the Iguazio MLOps Platform, data science …

  • Overall Reference Rating 4.8
    MLOps Software

    Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and …

  • Overall Reference Rating 4.8
    MLOps Software

    Prefect's unique hybrid execution model keeps your code and data completely private while taking full advantage of Their managed orchestration service. Their company is dedicated to empowering Its users. They …

  • Overall Reference Rating 4.8
    MLOps Software

    SuperAnnotate is helping companies build the next generation of computer vision products with its end-to-end platform and integrated marketplace of managed annotation service teams. SuperAnnotate provides comprehensive annotation tooling, robust …

  • Overall Reference Rating 4.8
    MLOps Software

    TrueFoundry is a Cloud-native PaaS for Machine learning teams to build, deploy and ship ML/LLM Applications on their own cloud/on-prem Infra in a faster, scalable, cost efficient way with the …

  • Overall Reference Rating 4.8
    MLOps Software

    JuliaHub’s mission is to empower those tackling the world’s toughest scientific and technical challenges with cutting-edge tools in a seamless, secure environment. Their product Dyad (formerly JuliaSim) is a leading …

  • Overall Reference Rating 4.8
    MLOps Software

    Valohai is the only machine learning platform built for private installations with company’s intellectual property’s safety at the core. Boost your data scientists’ productivity by letting them concentrate on model …

  • Overall Reference Rating 4.8
    MLOps Software

    Encord is the active learning platform for computer vision. Encord provides one AI-assisted platform to annotate, orchestrate collaborative labeling and quality control workflows, find & fix errors in your training …

  • Overall Reference Rating 4.7
    MLOps Software

    Outerbounds offers an AI-based, open-source machine learning (ML) platform built on the Metaflow framework for data science teams to develop, deploy, and operate ML and AI systems. It provides cloud …

  • Overall Reference Rating 4.8
    MLOps Software

    Canonical is deliver open source to the world faster, more securely and more cost effectively than any other company. They're also the publishers of Ubuntu, the world’s most popular enterprise …

  • Overall Reference Rating 4.8
    MLOps Software

    VROC is committed to tackling some of the biggest machine learning adoption challenges around data science, model deployment and maintenance, and whole of life cost effectiveness. With a vision of …

  • Overall Reference Rating 4.8
    MLOps Software

    Chalk is the data platform for inference, providing critical infrastructure that empowers teams to rapidly operationalize machine learning and AI. The developer-friendly platform consists of a Compute Engine that automatically …

  • Overall Reference Rating 4.8
    MLOps Software

    Edge Impulse is the leading development platform for embedded machine learning, used by over 3,000 enterprises across 30,000+ ML projects worldwide. They are on a mission to enable the ultimate …

  • Overall Reference Rating 4.8
    MLOps Software

    Elucidata is a pioneering life sciences MLOps company for the future that transforms biological discovery by integrating different forms of biomedical data. They support discovery programs at Pfizer, Bristol Myers …