Dataloop
The AI-ready Data Stack for unstructured data, multimodal pipelines, and the full AI data lifecycle
Enterprise·All audiences·API available
Key strengths
End-to-end AI data lifecycle management for unstructured dataVisual drag-and-drop pipeline builder with Python SDK supportBuilt-in human-in-the-loop / RLHF feedback integrationMarketplace of 100s of pre-built models, pipelines, and nodesEnterprise-grade security: SOC 2 Type II, ISO 27001, GDPR compliant
Enterprise pricing
Tel Aviv
Founded 2017
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- Active Learning Pipelines: Automatically route low-confidence model predictions to human reviewers, retrain with corrected labels, and iterate — all orchestrated in a single pipeline.
- RAG Workflow Construction: Build Retrieval-Augmented Generation pipelines connecting data ingestion, embedding generation, vector retrieval, and LLM inference nodes.
- RLHF / RLAIF Implementation: Integrate human feedback directly into production model training loops using structured annotation tasks and feedback routing.
- Multi-Cloud AI Compute Orchestration: Deploy model inference and data processing workloads across multiple cloud environments without rewriting infrastructure code.
- LiDAR & Multimodal Data Processing: Manage and annotate point cloud, image, audio, and text data in unified pipelines for autonomous driving and robotics applications.
- Custom FaaS Development: Write serverless Python functions that execute complex preprocessing, post-processing, or business logic as first-class pipeline nodes.