Activeloop, a Mountain View, CA-based provider of a database for AI, raised $11M in Series A funding.
Backers included Streamlined Ventures, Y Combinator, Samsung Next, Alumni Ventures, and Dispersion Capital. The round brings Activeloop’s total funding to about $20M.
The company intends to use the funds to enable the onboarding of further enterprise customers, empowering anyone to organize complex unstructured data and retrieve knowledge with AI.
Led by CEO Davit Buniatyan, Activeloop offers Deep Lake, the database for AI, empowering anyone to organize complex enterprise data and retrieve knowledge with AI. Deep Lake is used by Fortune 500 companies in regulated sectors like biopharma, MedTech, legal, and automotive to connect unstructured data—audio, video, images, text, and embeddings—to machine learning and large language models (LLMs).
Deep Lake’s AI-native embedded architecture ensures easy on-premise setup in a few lines of code. This makes it the preferred choice for enterprises seeking to manage their private data for GenAI without exposing it to external parties.
FinSMEs
26/03/2024