Pinecone operates a vector database built from Rust, TypeScript, and Go, deployed across AWS, GCP, and Azure. The stack reveals a performance-first infrastructure approach—Kafka, Kinesis, and Pub/Sub for streaming; Elasticsearch, Lucene, and Solr for search indexing; Datadog for observability. Active projects center on distributed-systems tuning and tail-latency reduction, and the company is actively adopting n8n and Claude, signaling investment in workflow automation and AI integration alongside the core database. Engineering hiring dominates (12 roles), with senior and staff-level positions leading the expansion.
Pinecone is a vector database company serving AI development teams that need to store, retrieve, and search high-dimensional embeddings at production scale. Founded in 2019 and based in New York, the company has grown to 51–200 employees and operates in the United States and Israel. The product is structured around core capabilities: real-time event processing, full-text and vector search integration, multi-cloud deployment, and metering infrastructure. Active projects include performance optimization (tail-latency reduction, throughput improvement), next-generation search capabilities, community growth via Discord, and customer marketing campaigns. The sales and support footprint remain lean relative to engineering and product, reflecting a developer-led go-to-market model.
Pinecone's core stack includes Rust, TypeScript, and Go. Infrastructure runs on Kafka, Kinesis, and Pub/Sub for streaming; Elasticsearch, Lucene, and Solr for indexing. Deployment spans AWS, GCP, and Azure. Recent adoptions include n8n, Claude, and Cursor.
Pinecone is headquartered in New York, NY and was founded in 2019. The company actively hires in the United States and Israel.
Other companies in the same industry, closest in size