Dataloop

Dataloop Ltd. offers an AI development platform that combines data management, model management, pipeline orchestration, serverless applications and human feedback workflows. It is aimed at data engineers, data scientists, software engineers, AI leaders and human reviewers building GenAI and other AI applications.

What It Is

Dataloop is a unified platform for the AI data lifecycle, built around unstructured data. It pre-processes items for search and filtering, and supports image, video, text, JSON, LiDAR, audio, PDF, GIS and multimodal data. Teams can curate, version, clean and route data to models and applications.

How the Workflow Fits Together

Pipelines connect data, models, applications and human feedback, either through a drag-and-drop interface or in code with the Python SDK. A marketplace provides pre-created models, pipeline templates and nodes. The in-platform function-as-a-service layer lets developers run code against their data and models without separate authentication or infrastructure setup. Models can be versioned, compared, fine-tuned and deployed within the platform.

Human Feedback and GenAI Use Cases

The site documents use cases including RLHF/RLAIF validation, active learning pipelines, RAG workflows, AI agents, LiDAR annotation, DataOps, and multi-cloud compute across major clouds, on-premise, NVIDIA DGX or Dataloop's own compute. Dataloop also promotes an NVIDIA NIM embedded platform.

Security

Dataloop states compliance with GDPR, ISO 27001, ISO 27701 and SOC 2 Type II. Controls it lists include RBAC, SSO, 2FA, AES-256 encryption and an audit trail of activity.