List of OpenAI Realtime Customers
San Francisco, CA, 94158,
United States
Since 2010, our global team of researchers has been studying OpenAI Realtime 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 OpenAI Realtime 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 OpenAI Realtime for Generative AI Platforms include: StubHub, a United States based Professional Services organisation with 900 employees and revenues of $1.75 billion and many others.
Contact us if you need a completed and verified list of companies using OpenAI Realtime, 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 OpenAI Realtime 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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StubHub | Professional Services | 900 | $1.7B | United States | OpenAI | OpenAI Realtime | Generative AI Platforms | 2023 | n/a |
In 2023, StubHub deployed OpenAI Realtime as part of its Generative AI Platforms portfolio to power agentic customer service across voice and text modalities. The deployment positioned OpenAI Realtime to handle real-time streaming audio and low-latency text interactions, enabling conversational routing and automated response generation for a customer base described as serving millions of users.
Implementation centered on a voicebot and conversational orchestration layer built on OpenAI Realtime, combined with a retrieval augmented generation retrieval layer. Engineers rebuilt the RAG system to use deterministic filtering, smaller document chunking, and a revised text embedding model, changes that were explicitly introduced to improve recall and precision. Parallel work restructured LLM evaluation by migrating evaluation pipelines to langgraph, langchain, and langsmith to support iterative model assessment and scenario-based testing.
Integrations tied OpenAI Realtime to the customized RAG retrieval pipeline and to the new LLM evaluation tooling, creating an operational flow from real-time audio/text ingestion through retrieval, embedding comparison, and model inference. The implementation uses OpenAI Realtime for live modality handling while orchestration and evaluation tooling coordinate content filtering and prompt flows, keeping system behavior observable for ongoing tuning.
Governance and rollout emphasized repeatable evaluation and retrieval controls, with the LLM eval migration and deterministic filtering codified as part of the engineering workflow. StubHub OpenAI Realtime Generative AI Platforms customer service workstreams reflect a focus on operationalizing agentic automation, ongoing evaluation pipelines, and retrieval governance to maintain response quality at scale, with recall and precision improvements cited as explicit outcomes.
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