Activeloop Testimonials

"Incredible tool! One of our researchers at National Center for Supercomputing Applications had great success using Deep Lake for multimodal pipelining for self supervised video embeddings. We are now trying to move away from HDF5's as they are too slow, annoying to work with, and just don't have the features we need to pipe efficiently into PyTorch. Exciting!"

"I chose Deep Lake among other vector databases due to its open-source nature, easy setup process, and developer-friendly features. It seamlessly integrates with AWS S3, which I found cost-effective and familiar. Moreover, it included a multi-modality feature that enabled us to store our content as embeddings for further analysis - a vital feature significantly improving our AI assistant's responsiveness."