# How Aquant uses Pinecone

**49%**: “49% reduction in average time-to-resolution”

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

- Company: [Aquant](https://www.usedby.ai/companies/aquant.md)
- Tool: [Pinecone](https://www.usedby.ai/tools/pinecone.md)
- Industry: [Energy, Utilities & Cleantech](https://www.usedby.ai/companies/industry/energy-utilities-cleantech.md)
- Teams: data science, engineering, product R&D

## What the story says

Aquant uses Pinecone as the semantic retrieval layer of its agentic AI platform for service professionals. Service manuals, technician notes, repair records, call transcripts and other content are embedded and indexed in Pinecone to power real-time, context-aware answers and agents.

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

> Weekly question volume grew by 48%, reflecting increased trust and reliance on the AI system. The platform now operates reliably at a tens-of-thousands scale, with growing adoption among new and returning users.

- **98%**: “Retrieval accuracy now consistently exceeds 98% in internal benchmarks”
- **48%**: “Weekly question volume grew by 48%”
- **53%**: “No-response rate (i.e., number of queries with no valid output) dropped by 53%”
- **19%**: “19% reduction in cost per service case”

> Pinecone is a critical part of our agentic architecture; it powers the retrieval backbone of Aquant AI, including our knowledge agent, which delivers real-time, context-aware guidance to service professionals.
>
> Oded Sagie, vice president of product and R&D at Aquant

## What usedby checked

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

- Checked: the figure 49% is printed word for word on the page, near the name of Aquant.
- Checked: the passage quoted above is copied word for word from the page, near the name of Aquant.
- Checked: Aquant 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/aquant-pinecone · How we check: https://www.usedby.ai/methodology