Platform
Datatron’s Platform
Datatron offers tools and features built from scratch, specifically to make machine learning in production work for you.
Automating and accelerating the management of your ML processes
Most teams discover that there’s more to just deploying models, which is already a very manual and time-consuming task. Datatron offers single model governance and management platform for all of your ML, AI, and Data Science models in production. We help you automate, optimize, and accelerate your ML models to ensure they are running smoothly and efficiently in production.
Use Any Framework
Data Scientists use a variety of frameworks to build the best models. We support anything you’d build a model with ( e.g. TensorFlow, H2O, Scikit-Learn, and SAS ) .
Write in Multiple Languages
Different teams use different languages. No worries. Datatron supports models built using the languages you already use ( E.g. SAS, Python, R, Scala, etc. ).
On-Prem, In the Cloud, Hybrid, or Airgap
Whether your infrastructure is designed for on-prem, multi-cloud, or both, Datatron works across AWS, Azure, Google Cloud, as well as on-premises options.
Model Catalog
Explore models built and uploaded by your Data Science team, all from one centralized repository.
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Model Deployment
Create a scalable model deployment in just a few clicks. Deploy models built using any language or framework.
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Model Monitoring
Make better decisions based on your model performance. Monitor models and get alerted for model decay and anomalies.
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Model Governance
Spend less time on model validation, bias detection, and internal audit processes. Go from model development to internal auditing to production faster than ever.
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Model Management
Manage multiple models running in production easily. Dynamically select the best model at runtime based on your configuration.
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Model Workflow
Apply business logic to your model prediction results. Create unique workflows using multiple sources and languages.
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