Pinecone Raises $10 Million To Build Serverless Vector Database For Machine Learning

Pinecone Raises $10 Million To Build Serverless Vector Database For Machine Learning

by NeoTech Post

Pinecone, which builds serverless vector database to enable the next generation of artificial intelligence applications in the cloud, raised $10 million in seed funding. 

Wing Venture Capital led the funding round. As part of the investment, Wing’s Founding Partner, Peter Wagner, will be joining the Pinecone board. 

Pinecone builds infrastructure to enable the next wave of artificial intelligence (AI) applications in the cloud. The company’s vector database supports large scale production deployments of real-time applications such as personalization, semantic text search, image retrieval, data fusion, deduplication, recommendation, and anomaly detection. 

Using Pinecone’s unique vector database, ML and data infrastructure engineers can dynamically transform and index billions of high-dimensional vectors. They can answer queries like the nearest neighbor and max-dot-product search accurately and in milliseconds. Pinecone’s database is serverless and API-driven, which means customers always have the computing resources they need, when they need them, without worrying about infrastructure or maintenance. Simple self-onboarding and consumption-based pricing let companies build proofs of concept with very little overhead and then scale effortlessly. 

“Visionary leaders in many companies are working hard to transform their business with machine learning. Pinecone gives them technology they need which, until today, was reserved to a few tech giants,” said Edo Liberty, Founder and CEO of Pinecone.

Image Credit: Pinecone