# How Terminal X uses Pinecone

**three hours**: “users now save around three hours per day using Terminal X”

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

- Company: [Terminal X](https://www.usedby.ai/companies/terminal-x.md)
- Tool: [Pinecone](https://www.usedby.ai/tools/pinecone.md)
- Industry: [E-commerce & D2C](https://www.usedby.ai/companies/industry/e-commerce-d2c.md)

## What the story says

Terminal X, a vertical AI platform for institutional investors, uses Pinecone as the vector search layer of its RAG pipeline. It indexes millions of financial documents so its research agent can retrieve precise passages, tables and data points for tasks like due diligence, earnings prep, portfolio monitoring and memo drafting.

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

> On average, users now save around three hours per day using Terminal X, and the time required to build investment memos has dropped from two days to just half a day.

- **0.68 to 0.91**: “F1 scores increasing from 0.68 to 0.91 (0.93 for precision)”
- **35%**: “Reduced average latency by more than 35% in key workflows”
- **25%**: “Reduced system maintenance time by 25%”
- **51.7ms**: “median query latency of 51.7ms”

> With Pinecone, we achieved the retrieval speed, accuracy, and scalability we simply couldn’t get elsewhere.
>
> Kibeom Kim, CTO at Terminal X

## What usedby checked

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

- Checked: the figure three hours is printed word for word on the page, near the name of Terminal X.
- Checked: the passage quoted above is copied word for word from the page, near the name of Terminal X.
- Checked: Terminal X 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/terminal-x-pinecone · How we check: https://www.usedby.ai/methodology