Enobase™ is our healthcare data science platform, built to prioritize patient privacy and data security.
Researchers across the globe will be able to leverage a familiar data science programming environment tailored to healthcare use cases, customizable integrations with machine learning tools, and infrastructure for collaborating with external partners through federated learning.
Our vision and approach
We provide multiple end-to-end data science workflows that help our users achieve faster experimentation cycles, external model validation, deployment, and continuous monitoring in real world healthcare scenarios.
Integrate
We work with our users to install the Enobase™ platform on the edge at data centers, such as hospitals and other institutions, ensuring that the institution retains compliance and control over data and enabling the ability to scale to their choice of cloud services.
Explore
With the Enobase™ cohort discovery tool, our users can easily query available datasets to discover broad population level statistics, which can be used to inform simple analytics or serve as a starting point for designing advanced models.
Empower
Our data scientists facilitate the process of exploring data for multi-endpoint analytics, everything from simple queries to AI/ML modeling.
Collaborate
We develop the infrastructure and support that enable our partners to adopt federated learning and other techniques that facilitate training models on larger heterogeneous datasets for improved generalizability.
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We provide solutions fordata science needs
We provide
solutions fordata science needs
Supporting multi-center collaboration
We build federated learning and other secure collaboration networks, providing an infrastructure for our partners to train and validate their models across multiple institutions and datasets.
Accelerating your healthcare data science workflows
With Enobase™, our data scientists support users in building and delivering ready-to-use AI/ML models.
Enobase™ is built on an edge computing framework that creates an infrastructure which allows data to be securely processed on premises for building AI/ML models. This allows partners to unlock value in siloed healthcare data for clinical impact.
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Connect with us to learn more
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