DataLoop

Dataloop provides an AI-ready data stack platform built for unstructured data, multimodal pipelines, and the full AI data lifecycle, enabling organizations to modernize their data infrastructure for the next wave of AI. The platform integrates seven core components: Data management with automated preprocessing and embeddings for exploring and curating vast quantities of unstructured data; Models supporting cutting-edge off-the-shelf AI models or custom-built models with versioning, experimentation, comparison, and fine-tuning deployed directly in production; Pipelines for orchestrating data, models, elements, and human feedback through drag-and-drop or Python SDK interfaces; Applications with in-platform function-as-a-service for building AI-based applications; Human Feedback for integrating annotation, RLHF, and active learning into the loop; a Marketplace with hundreds of pre-created nodes, models, elements, and pipelines; and enterprise-grade Security with GDPR, ISO 27001, ISO 27701, and SOC 2 Type II compliance, RBAC, SSO, 2FA, and AES-256 encryption. Dataloop supports generative AI workflows with multimodal pipelines, LLMs, RAG techniques, and foundation models, along with use cases including active learning workflows, validating GenAI through RLHF and RLAIF, running AI in production, building AI agents, LiDAR processing, and multi-cloud AI compute. The platform embeds NVIDIA NIM architecture for 128x faster NIM adoption and partners with NVIDIA, Microsoft, Google, and Qualcomm. Dataloop delivers 20x faster development, 70% time saved through collaboration, 10x higher quality through human-machine feedback loops, and 95% automation across average pipelines. Founded in 2017 and headquartered in Tel Aviv, Israel, Dataloop has raised approximately $50 million in Series B funding from investors including NGP Capital, Alpha Wave Global, Amiti, F2 Capital, OurCrowd, SeedIL Ventures, Lenovo Capital and Incubator Group, and Onnivation.