Company Information

Deep Lake is designed to handle multimodal, unstructured data—such as images, audio, video, text, and embeddings—by storing them in a tensor format that facilitates efficient querying, version control, and real-time streaming to machine learning frameworks like PyTorch and TensorFlow. This architecture enables teams to manage complex datasets, train models faster, and deploy AI applications more effectively.