List of Pinecone AI Customers
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United States
Since 2010, our global team of researchers has been studying Pinecone AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Pinecone AI for AI Database from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Pinecone AI for AI Database include: Vanguard, a United States based Banking and Financial Services organisation with 20000 employees and revenues of $6.93 billion, Gong, a United States based Professional Services organisation with 1100 employees and revenues of $115.0 million, Chipper Cash, a United States based Banking and Financial Services organisation with 350 employees and revenues of $75.0 million and many others.
Contact us if you need a completed and verified list of companies using Pinecone AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Pinecone AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Chipper Cash | Banking and Financial Services | 350 | $75M | United States | Pinecone | Pinecone AI | AI Database | 2024 | n/a |
In 2024, Chipper Cash implemented Pinecone AI to power a real time selfie based identity verification flow aimed at detecting duplicate signups across its African markets, supporting fraud detection and payments onboarding. Pinecone AI serves as an AI Database storing facial embeddings and enabling similarity search to surface duplicate accounts during initial identity checks.
The architecture pairs an embedding generation stage with a persistent vector index that supports low latency similarity queries, enabling decisions inline with the signup flow. Functional capabilities implemented include dense vector storage, nearest neighbor similarity search, and real time scoring for duplicate detection and identity verification.
The Pinecone AI deployment was embedded into Chipper Cash's fraud detection and payments onboarding pipelines and operationally applied across multiple African markets, with example results highlighted for Uganda. The implementation reduced end to end verification latency from up to 20 minutes to under 2 seconds and lowered fraudulent signups by roughly 10x.
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Gong | Professional Services | 1100 | $115M | United States | Pinecone | Pinecone AI | AI Database | 2020 | n/a |
In 2020, Gong deployed Pinecone AI as the core vector database for its Smart Trackers product to detect and classify concepts in customer conversations across the United States. Pinecone AI is used as the AI Database foundation for Gong's revenue intelligence workflows, linking conversation-derived embeddings to concept classification and ongoing tracker logic.
The implementation configures Pinecone AI to index and persist billions of sentence embeddings generated from Gong conversation transcripts, providing vector similarity search and semantic retrieval capabilities that power concept detection and classification in Smart Trackers. Pinecone AI functions as the primary vector index and retrieval layer within Gong's inference and analytics pipeline, supporting semantic search and real-time concept matching at scale.
The partnership included a move to Pinecone serverless, enabling elastic storage of billions of sentence embeddings and removing traditional capacity management for the vector store. Operational coverage is focused in the United States and the deployment supports revenue intelligence, sales operations, and customer-facing analytics functions within Gong.
The partnership move to Pinecone serverless delivered a reported 10x cost reduction for the sentence embedding workload, and the engagement emphasized serverless scaling and cost efficiency as primary operational objectives. Governance and rollout were coordinated with Pinecone to embed the AI Database into Smart Trackers, aligning vector index management and model output consumption with Gong product release and data workflows.
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Vanguard | Banking and Financial Services | 20000 | $6.9B | United States | Pinecone | Pinecone AI | AI Database | 2025 | n/a |
In 2025, Vanguard deployed Pinecone AI to power Agent Assist, an internal RAG search assistant for customer support in the United States. The deployment positioned Pinecone AI as the AI Database supporting retrieval augmented generation and semantic search workflows for front line customer support within Vanguard's finance operations. The implementation targeted live document access and agent query workflows to improve accuracy and compliance visibility.
The implementation used a hybrid dense and sparse retrieval architecture with metadata filtering to enforce compliance rules, combining vector similarity and lexical search to surface regulated content. Functional capabilities implemented include RAG orchestration, semantic indexing, metadata based access controls, audit logging, and query routing to reduce escalation. Pinecone AI was configured to index live documents and support near real time updates so support agents see current regulatory and product information.
Governance was structured around metadata filtering policies and audit traceability for live documents, enabling compliance teams to review provenance and query logs. Vanguard reported a 12% improvement in search accuracy, reduced call handling times, and better audit traceability after deployment, outcomes tied directly to the Pinecone AI implementation. This implementation establishes Vanguard Pinecone AI AI Database as the retrieval layer for customer support in United States finance operations.
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Buyer Intent: Companies Evaluating Pinecone AI
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