Automate and maintain domain-specific lineage, versioning, labeling/annotation, and tracking of all enterprise metadata. Leverage AI-driven schema generation or detection to automatically identify, propose, and refine standardized schemas, ensuring every data asset adheres to rigorous governance standards. Monitor data quality and mitigate detected anomalies easily from one place.

Securely stream and manage high-velocity data into and out of AI pipelines from any network or source with simple interfaces and as needed encryption to ensure models are always up to date.

Build, iterate, and deploy dynamic, real-code functions that normalize, enrich, and even generate synthetic training data. By healing incomplete datasets and augmenting data based on existing schemas and examples, this capability accelerates the creation of comprehensive, high-quality training assets.

Orchestrate the flow of data—whether raw, tokenized, or transformed via custom functions—by seamlessly aggregating to or from your own registered data stores and APIs. Define the data you need for the use cases that matter to your business and ensure your AI training pipeline has everything it needs in one place.

Empower your data pipeline with selective tokenization that lets you choose which unified data sets to refine for AI training. This capability transforms your raw data into a consistent, ready-to-use format—while keeping the original data accessible for further use.