Pinecone

Pinecone

Computer Software, , New York, United States, 51-200 Employees

pinecone.io

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phone no Phone Number: 65********

Who is PINECONE

Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features suc...

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industries-icon Industry: Computer Software

SIC SIC Code: 7374 | NAICS Code: 518210 | Show More

checked-icon Does something look wrong? Fix it. | View contact records from PINECONE

Pinecone Org Chart and Mapping

Employees

Travis Donia

Director of Engineering

Jen Desimone

People Team / Project Coordinator

Chuck Fontana

Vice President of Business Development

Tej Chilukuri

Senior Growth Product Manager

Gibbs Cullen

Senior Product Marketing Manager

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Frequently Asked Questions Regarding Pinecone

Answer: Pinecone's headquarters are located at New York, United States

Answer: Pinecone's phone number is 65********

Answer: Pinecone's official website is https://pinecone.io

Answer: Pinecone's revenue is $5 Million to $10 Million

Answer: Pinecone's SIC: 7374

Answer: Pinecone's NAICS: 518210

Answer: Pinecone has 51-200 employees

Answer: Pinecone is in Computer Software

Answer: Pinecone contact info: Phone number: 65******** Website: https://pinecone.io

Answer: Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. We are engineers who built large machine learning platforms, databases, and search engines at AWS, Yahoo, Splunk, Databricks, and more. We are scientists who transformed businesses with ML applications such as shopping recommendations, online advertising, semantic search, anomaly detection, and more. We are researchers who collectively published more than 100 academic papers and patents on machine learning, systems, and algorithms.

Answer:

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