Dataloop

What is Dataloop?

Dataloop is a platform for modernizing data infrastructure for AI development, with a focus on unstructured data and multimodal pipelines. It covers data management, models, pipelines, serverless applications and human feedback.

Key capabilities of Dataloop

• Data management: Explore, analyze and curate unstructured data with automated preprocessing.
• Models: Pre-built and custom models with versioning and fine-tuning.
• Pipelines: Drag-and-drop or Python SDK workflows combining data, models and human feedback.
• Serverless applications: Function-as-a-service for AI functionality.
• Human feedback: RLHF, annotation and human-in-the-loop workflows.

How Dataloop works

Teams bring unstructured data into Dataloop, curate it, and build pipelines that chain preprocessing, models and human review, either visually or with the Python SDK. Serverless functions run the logic without infrastructure setup, and human feedback loops route outputs to reviewers for annotation or RLHF.

Who uses Dataloop?

Data engineers, data scientists, software engineers, AI leaders and human reviewers use Dataloop.

Dataloop pricing

The vendor does not publish prices on its homepage, so cost is quote-based.

Dataloop alternatives

Labelbox is a data labeling platform, Argilla is an open-source data curation tool, and Lightly focuses on data selection for computer vision. Dataloop is distinguished by combining data management, pipelines and human feedback.