A purpose-built, high-performance data storage layer optimized for AI and ML workloads. Braintree Technologies’ AI Datastore provides fast access to training data, model artifacts, and inference outputs enabling seamless experimentation, deployment, and scaling of AI systems.
Model Artifact Repository
Securely stores trained ML models, weights, metadata, and experiment results. Tracks versions and enables reproducibility and auditability across the model lifecycle.
A centralized repository for storing, versioning, and sharing machine learning features used across models. Ensures consistency between training and inference pipelines.