Who it is built for
- Enterprises preparing governed data for AI initiatives
- Teams building RAG and agentic AI workflows
- Organizations orchestrating data across cloud, on-premises, and hybrid environments
Enterprise data orchestration for AI lifecycle workflows
Dell Data Orchestration Engine is the current product built from Dell's acquisition of Dataloop. It coordinates data ingestion, preparation, embeddings, retrieval, inference, and evaluation so enterprises can turn structured, unstructured, and multimodal data into governed datasets for AI systems.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
The engine connects ingestion, dataset preparation, embedding, retrieval, and inference in a unified pipeline.
It applies chunking, enrichment, metadata tagging, and embeddings to make unstructured data usable for AI.
The platform discovers, labels, enriches, and transforms structured, unstructured, and multimodal data into governed datasets at scale.
Connect enterprise data sources and define the pipelines needed to ingest, prepare, enrich, and retrieve data. The engine coordinates those workflows across environments, producing governed AI-ready datasets for training, retrieval, inference, and evaluation.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.