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Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering, and Business. Founded by the team who created Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA, and Battery Ventures, among others, have a global customer base that includes Salesforce, Viacom, Shell, and HP.
DataRobot captures the knowledge, experience, and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time it takes using traditional data science methods.
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 and managing them with ML Ops functionality. Kortical is different as it is built with transparency and control, where the code is editable vs hidden behind a UI. Some of the unique tools are, scoring the model improvement when you build new features before you build the model, explainability on DNN for NLP back into text and app hosting for easy scalable ML solutions. Kortical is an intuitive, code optional, platform that is enjoyable to use as it works with your current workflow vs hiding it behind a clunky web app.
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