# How Melange uses Pinecone

**$75,000**: “Melange estimates that Pinecone saves them approximately $75,000 per year”

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

- Company: [Melange](https://www.usedby.ai/companies/melange.md)
- Tool: [Pinecone](https://www.usedby.ai/tools/pinecone.md)

## What the story says

Melange, a patent analytics company, stores embeddings of patent and academic documents in Pinecone and uses it as the first step of every prior art search. It loads embeddings through Parquet bulk imports and uses separate namespaces to test new embedding models.

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

> Melange estimates that Pinecone saves them approximately $75,000 per year across avoided infrastructure maintenance, reduced operational burden, and less engineering time spent troubleshooting database issues.

- **600M**: “With Pinecone in place, Melange moved from a fragile 40M-record prototype to a production system spanning more than 600M vectors across multiple model generations.”

> Our KPI for Pinecone is straightforward: how little time we spend thinking about it.
>
> Joshua Beck, CEO at Melange

## What usedby checked

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

- Checked: the figure $75,000 is printed word for word on the page, near the name of Melange.
- Checked: the passage quoted above is copied word for word from the page, near the name of Melange.
- Checked: Melange uses Pinecone. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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