Sales teams spent hours manually filtering 390M+ contacts. Engineers deployed real-time AI search to surface ideal buyers instantly.
A go-to-market intelligence platform managing hundreds of millions of professional contact records and firmographic data across more than 100,000 namespaces.
Sales teams spent hours manually searching and filtering through large datasets to identify the right buyers within a target account. To replace this...
“Pinecone’s slab architecture and Dedicated Read Nodes gave us the speed, consistency, and isolation we needed to run real-time recommendations at scale. Instead of managing infrastructure, we spend our time improving our recommendation model and the product itself. That has reduced the time our customers spend researching, filtering, and evaluating contacts—from hours to minutes—by giving them the right people to reach out to with a single click.”
B2B intelligence and go-to-market platform for sales and marketing teams.
Managed vector database for AI search, retrieval, and recommendation systems.
ZoomInfo's Contact recommendations is part of this use case:
Related implementations across industries and use cases
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
Sifting 400M records stalled sales. AI agents now query 40 sources instantly to push prioritized leads directly into CRM.
Processing trillion-token datasets took months. A native vector engine cut deduplication costs 5x and doubled processing speed.
Processing trillion-token datasets took months. A native vector engine cut deduplication costs 5x and doubled processing speed.
Scaling curation for 90M buyers was impossible. Now, experts build seed collections and Vertex AI expands them into millions of custom feeds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sales teams spent hours manually filtering 390M+ contacts. Engineers deployed real-time AI search to surface ideal buyers instantly.
A go-to-market intelligence platform managing hundreds of millions of professional contact records and firmographic data across more than 100,000 namespaces.
Sales teams spent hours manually searching and filtering through large datasets to identify the right buyers within a target account. To replace this...
“Pinecone’s slab architecture and Dedicated Read Nodes gave us the speed, consistency, and isolation we needed to run real-time recommendations at scale. Instead of managing infrastructure, we spend our time improving our recommendation model and the product itself. That has reduced the time our customers spend researching, filtering, and evaluating contacts—from hours to minutes—by giving them the right people to reach out to with a single click.”
B2B intelligence and go-to-market platform for sales and marketing teams.
Managed vector database for AI search, retrieval, and recommendation systems.
ZoomInfo's Contact recommendations is part of this use case:
Related implementations across industries and use cases
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
Sifting 400M records stalled sales. AI agents now query 40 sources instantly to push prioritized leads directly into CRM.
Processing trillion-token datasets took months. A native vector engine cut deduplication costs 5x and doubled processing speed.
Processing trillion-token datasets took months. A native vector engine cut deduplication costs 5x and doubled processing speed.
Scaling curation for 90M buyers was impossible. Now, experts build seed collections and Vertex AI expands them into millions of custom feeds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.