49%
“49% reduction in average time-to-resolution”
As published on pinecone.io. Captured by usedby on Oct 3, 2026.
What happened
Aquant uses Pinecone as the retrieval layer of its agentic AI service platform. Service manuals, technician notes, repair records, call transcripts and other content are embedded and indexed for semantic search, with per-customer namespaces and metadata filtering, so service professionals get real-time answers.
Summary written by usedby from the source page, in English. The figures are those of Pinecone and Aquant, not ours.
- 98%“Retrieval accuracy now consistently exceeds 98% in internal benchmarks”
- 48%“Weekly question volume grew by 48%, reflecting increased trust and reliance on the AI system.”
- 53%“No-response rate (i.e., number of queries with no valid output) dropped by 53%, increasing answer reliability”
- 19%“19% reduction in cost per service case”
Pinecone is now an anchor of Aquant’s agentic toolchain. Content—including customer service manuals and documentation; voice recordings; videos; repair records, free-text technician notes, part catalogs, schematic drawings; call transcripts; and machine logs—is embedded
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. Its performance and scalability allow us to serve our customers in production at enterprise scale, without compromising speed or accuracy. That’s enabled us to move beyond static answers and toward dynamic, AI-driven service intelligence.
What the story claims, and what we checked
We compared the story with its live page on Oct 3, 2026.
- The figure: 49%CheckedPrinted word for word on the page, near the name of Aquant.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Aquant.
- Aquant uses PineconeCheckedConfirmed line. Latest check across sources: Oct 3, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.




