The GPU Database for Agents

"It's next-level. We've enabled a new human-machine interface that is natural to use and yields high-accuracy results for end-users. I am confident that adopting Activeloop was a value-add through improved innovation that will compound as our AI operations grow"

"They started out with a vector store integration, so it's flown under the radar, but... @activeloopai's Deeplake is an intriguing fully-fledged serverless data lake that supports attribute based filtering, multiple distance functions, MMR search."

"As the datasets enlarge and become multi-modal, next-gen solutions built specifically to address those use cases, like Deeplake, will help AI teams deliver models to production faster, and more efficiently."

"We've 10x-ed the time to production, increased model accuracy by 19.5% and reduced training costs by 32%, setting new standards in the last-mile delivery space."

"Deeplake made working on more complex data no more complicated from a data management point of view. Whether I'm working on 10 million images with 10 different modalities or a thousand images with just one modality, it's all the same from the perspective of the user of the system."