List of Vespa.ai Customers
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Since 2010, our global team of researchers has been studying Vespa.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 Vespa.ai for Generative AI Platforms 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 Vespa.ai for Generative AI Platforms include: Spotify, a Sweden based Media organisation with 9123 employees and revenues of $3.19 billion, Vinted, a Lithuania based Professional Services organisation with 2000 employees and revenues of $894.0 million, Perplexity, a United States based Professional Services organisation with 55 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using Vespa.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 Vespa.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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Perplexity | Professional Services | 55 | $5M | United States | Vespa.ai | Vespa.ai | Generative AI Platforms | 2024 | n/a |
In 2024, Perplexity implemented Vespa.ai as the retrieval layer for its consumer AI search product. The deployment used Vespa.ai within the Generative AI Platforms category to power large scale Retrieval Augmented Generation information retrieval workflows targeted at the United States market.
The implementation focused on fast, fresh, and fine grained retrieval from billions of web pages, with configuration work on indexing pipelines, vector retrieval and relevance ranking to support cited responses. Perplexity instrumented document metadata capture and citation attribution as part of the retrieval pipeline to enable source backed answers to end users.
Operationally the Vespa.ai deployment served as a centralized retrieval service for Perplexity’s consumer facing search product, connecting ingestion and web crawling feeds to the front end query layer and RAG orchestrator. The scope of the rollout emphasized information retrieval at consumer scale and the architecture was tuned for high throughput and low latency to meet search performance needs.
Governance work included ongoing retrieval quality tuning and monitoring for freshness and citation accuracy, with rollout timing aligned to Vespa.ai public case study and blog timelines. The Vespa.ai implementation enabled Perplexity to scale to millions of users while delivering source backed, cited answers within its AI search information retrieval function.
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Spotify | Media | 9123 | $3.2B | Sweden | Vespa.ai | Vespa.ai | Generative AI Platforms | 2022 | n/a |
In 2022, Spotify R&D adopted Vespa.ai to power dense and semantic search for podcast episode retrieval as part of its Natural Language Search initiative. The implementation uses Vespa.ai within the Generative AI Platforms category to index and serve vector representations for podcast queries.
The deployment leverages approximate nearest neighbor ANN vector indexing and a hybrid reranking layer to combine semantic and lexical signals, enabling more relevant episode surface results. Vespa.ai handles the vector indexing and ANN search, while the hybrid reranker applies relevance ordering for episode retrieval workflows.
The solution was deployed into production as part of Spotify's Natural Language Search pipeline for podcast episode retrieval and was instrumented to serve end user search experiences. Operational scope targeted podcast query traffic and the implementation was rolled out broadly after validation.
Rollout followed successful A/B tests and the project was rolled out to most users, with Spotify reporting improved relevance and user engagement for podcast queries.
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Vinted | Professional Services | 2000 | $894M | Lithuania | Vespa.ai | Vespa.ai | Generative AI Platforms | 2023 | n/a |
In 2023, Vinted implemented Vespa.ai as its search and personalization backbone to improve item discovery across its marketplace in Europe and the USA. Vespa.ai was adopted within the Generative AI Platforms category to power search and recommendation use cases that directly affect marketplace discovery and buyer conversion.
The implementation deployed Vespa.ai as a hybrid vector and lexical search engine at scale, combining dense vector retrieval with lexical matching to surface relevant listings. Vinted used Vespa.ai recommendation and personalization modules to drive real time ranking and personalized item feeds, aligning search retrieval with individual user signals and session context.
The deployment covered marketplace search surfaces and recommendation touchpoints across Europe and the USA, concentrating on item discovery and transaction flows. According to Vespa.ai the deployment increased transactions by approximately 1.1 percent and contributed over €3.5 million in gross merchandise value, outcomes attributed to the combined search and recommendation configuration.
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Buyer Intent: Companies Evaluating Vespa.ai
- Global River, a United States based Distribution organization with 10 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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