# How Stravito uses Pinecone

As published on [pinecone.io](https://www.pinecone.io/customers/stravito/). Captured by usedby on 2026-10-08.

- Company: [Stravito](https://www.usedby.ai/companies/stravito.md)
- Tool: [Pinecone](https://www.usedby.ai/tools/pinecone.md)
- Teams: Engineering, DevOps

## What the story says

Stravito uses Pinecone's vector database for the semantic search behind Stravito Assistant, its generative AI conversational interface for market research content. It also uses Pinecone's hosted embedding and reranking models to improve recall in its retrieval pipeline.

Summary written by usedby from the source page, in English. The figures are those of Pinecone and Stravito, not ours.

> Pinecone’s serverless offering scales automatically to handle Stravito’s growing workloads, maintaining performance without additional effort from the DevOps team.

> We realized early on that we needed a semantic search solution capable of handling both the volume and variety of our customers' data. Pinecone’s infrastructure gave us the flexibility to meet that challenge without overburdening our engineering team.
>
> Viktor Karlsson, Software Engineer

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the passage quoted above is copied word for word from the page, near the name of Stravito.
- Checked: Stravito uses Pinecone. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

---
Source: https://www.usedby.ai/case-studies/stravito-pinecone · How we check: https://www.usedby.ai/methodology