Machine Learning

DataNature AI is the platform's ML foundation, covering feature engineering, model development, deployment, and serving at enterprise scale, built on governed lakehouse data.

DataNature AI · vector DB · feature store · MLOps

• Feature Store — curated, reusable ML features built from Lakehouse Gold data.
• Vector Database — embeddings from DocuContext for semantic search and retrieval-augmented generation (RAG).
• Model Training & MLOps — build, tune, version, deploy, and monitor models (credit risk, fraud, churn, etc.).
• Serving & tracking — real-time and batch inference, with experiment tracking for full reproducibility.
• Ecosystem — models flow to AI360 and Voir agent skills; partner/ISV models from the Marketplace augment decisions.