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Making it easy to compliantly manage the machine learning lifecycle
Provides a centralised repository of ML models, where possible with models in standard formats
Enables users to find existing ML models, encouraging re-use of best practice and avoiding duplication of work
Ensures any deployed models are fully compliant, and that compliance rules are applied consistently from a single service
Bailo can be used entirely by a well documented API or Python client
Bailo shows a collection of models in a marketplace
Bailo displays a configurable set of information for a model
Draft releases for models
Bailo can be used entirely by a well documented API or Python client
Bailo shows a collection of models in a marketplace