Activeloop

AI data infrastructure platform with Deep Lake vector store for multimodal dataset management

AI InfrastructureFreemium

Activeloop builds Deep Lake, an open-source data lake optimized for AI applications that supports streaming datasets directly to training frameworks, storing multimodal data (images, videos, text, embeddings), and vector search for LLM applications. Unlike traditional data warehouses, Deep Lake is designed for the specific patterns of ML training—random access, streaming batches, and version control of large datasets. AI teams use Deep Lake to store and manage training datasets, evaluation sets, and embedding stores for RAG applications. The platform handles petabyte-scale multimodal data efficiently, solving the data management challenges that arise as AI training datasets grow beyond what fits in memory or standard storage systems.

Key Features

• ✓Multimodal data lake
• ✓Vector search
• ✓Training streaming
• ✓Dataset versioning
• ✓Open-source