Case Study: Aquant achieves faster, more accurate AI service intelligence with Pinecone

Aquant delivers scalable, expert-level service intelligence with Pinecone

Aquant, an AI-driven service optimization platform for large manufacturing companies, faced a challenge scaling its real-time, domain-specific retrieval. Their in-house vector search infrastructure was slow, produced inconsistent results, and required significant management, preventing them from meeting the demands of their enterprise customers. They needed an enterprise-ready solution to power their agentic AI platform.

By implementing the Pinecone vector database, Aquant gained a high-performance retrieval backbone. The solution delivered sub-100ms search latency, over 98% retrieval accuracy, and eliminated operational overhead. This resulted in a 48% increase in user questions and a 49% reduction in average time-to-resolution for its customers, demonstrating significant real-world impact.

Aquant

Oded Sagie

Vice President of Product and R&D