Case Study: Stravito achieves faster, scalable insights with Pinecone

Stravito turns market and consumer data into actionable insights with Pinecone Inference

Stravito helps large enterprises simplify the storage and discovery of market research data. Their challenge was pulling actionable insights from vast amounts of unstructured, scattered data. To enhance their new conversational AI tool, Stravito Assistant, they needed a scalable semantic search solution from a vendor like Pinecone.

Pinecone provided its vector database to power semantic search and retrieval-augmented generation (RAG) for the Assistant. The solution offered effortless scalability, tenant isolation, and improved performance through features like a reranker. As a result, Stravito empowered its customers to find and integrate insights faster and more effectively, all while reducing engineering overhead and operational costs for the Stravito team.

Stravito

Viktor Karlsson

Software Engineer