Enable rapid iteration on AI agent development with accessible data management
Deeplake provides tools to explore, query, and manage data in a unified platform built for the agentic era, reducing time spent on data infrastructure setup

Deep Research on Your Multi-Modal Data
Deep Lake AI Knowledge Agent conducts Deep Research on your data, no matter its modality, location, or size. Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) stored anywhere, to AI. Over time, it learns from your queries, tailoring the results to your work! Deep Lake is used by Fortune 500 companies like Bayer, Matterport, and others.
Deeplake provides tools to explore, query, and manage data in a unified platform built for the agentic era, reducing time spent on data infrastructure setup
Deeplake is designed as a GPU database that handles diverse data types natively, allowing teams to explore and manage multimodal datasets with GPU-accelerated compute
Deeplake consolidates storage and compute for AI workloads, eliminating the need to manage separate databases and compute clusters, streamlining agent deployment
Deeplake provides a GPU-native database optimized for agentic workloads, enabling AI agents to query and manage data efficiently at scale without traditional database bottlenecks