Devron

Devron is rethinking the way data science platforms read and share insights across datasets. Sensitive data is often siloed off in private networks, on-premise, and in entrenched environments, limiting data scientists in deriving actionable insights for business decisions. Multiple parties often duplicate or lose track of data being shared within and across organizations, often increasing data engineering and cloud costs.

‍Devron is enabling data scientists to build on top of decentralized data stores. We reduce the clutter and steps required for data engineers and scientists to conduct data science and we obviate the need to centralize and duplicate data. Companies no longer need to redact, anonymize or synthetically create data to perform advanced analytics - but instead keep data where it resides (including in their secure or regulatory-restricted environments) and bring the algorithms to the data. All of this is in service to providing business and research leaders more intelligence for better decisioning, the ability to deliver a better customer experience, and the insight to innovate.

Devron is on the path to build the next-generation data science and machine learning platform to enable decentralized analytics. We foresee a globally distributed data fabric that preserves the privacy of the source data, freeing it to drive innovation and insights and unleashing its untapped value. We seek to change the world one algorithm at a time!

Devron is on the path to build the next-generation data science and machine learning platform to enable decentralized analytics. We foresee a globally distributed data fabric that preserves the privacy of the source data, freeing it to drive innovation and insights and unleashing its untapped value. We seek to change the world one algorithm at a time!

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‍Devron is enabling data scientists to build on top of decentralized data stores. We reduce the clutter and steps required for data engineers and scientists to conduct data science and we obviate the need to centralize and duplicate data. Companies no longer need to redact, anonymize or synthetically create data to perform advanced analytics - but instead keep data where it resides (including in their secure or regulatory-restricted environments) and bring the algorithms to the data. All of this is in service to providing business and research leaders more intelligence for better decisioning, the ability to deliver a better customer experience, and the insight to innovate.

Devron is rethinking the way data science platforms read and share insights across datasets. Sensitive data is often siloed off in private networks, on-premise, and in entrenched environments, limiting data scientists in deriving actionable insights for business decisions. Multiple parties often duplicate or lose track of data being shared within and across organizations, often increasing data engineering and cloud costs.

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