Activeloop

Activeloop offers a streamlined API designed for the creation, storage, version control, and collaborative management of multi-modal AI datasets, regardless of size. Their open-core stack enables rapid data transformation and streaming, facilitating model training at scale. Deep Lake, a key component, functions as a vector database, providing significant advantages for foundational model training. These benefits include the ability to fine-tune Large Language Models (LLMs) using multi-modal datasets, the storage of both embeddings and original data with automatic version control (eliminating the need for re-computation), and a truly serverless service that avoids vendor lock-in.

Activeloop's rapid growth on GitHub has attracted users from leading companies like Google, Waymo, and Intel. The founding team comprises alumni from prestigious institutions such as Princeton, Stanford, Google, and Tesla, and the company is backed by Y Combinator and other prominent Silicon Valley investors.

Activeloop is actively hiring. Interested candidates can explore open positions on their YC page.