List of OpenAI Embeddings Customers
San Francisco, 94158, CA,
United States
Since 2010, our global team of researchers has been studying OpenAI Embeddings 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 Embeddings 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 Embeddings for Generative AI Platforms include: TaskUs, a United States based Professional Services organisation with 49600 employees and revenues of $995.0 million, Truvideo, a United States based Professional Services organisation with 30 employees and revenues of $3.0 million, Ocrolus, a United States based Professional Services organisation with 15 employees and revenues of $2.0 million, Deeptalk, a Indonesia based Healthcare organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using OpenAI Embeddings, 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 Embeddings 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!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Deeptalk | Healthcare | 10 | $1M | Indonesia | OpenAI | OpenAI Embeddings | Generative AI Platforms | 2024 | n/a |
In 2024 Deeptalk implemented OpenAI Embeddings as part of its Generative AI Platforms tooling to power AI assistants and feedback-analysis products for customers across Latin America. Deeptalk generates vector embeddings using OpenAI models and persists those vectors in Pinecone, creating a production pipeline that supports conversational retrieval and analytic queries for industries such as retail, healthcare, and banking in markets including Chile.
The implementation architecture centers on an embedding generation layer that calls OpenAI Embeddings, an indexing and vector storage tier hosted in Pinecone, and a retrieval layer that surfaces nearest neighbor results into conversational agents and feedback-analysis workflows. Functional capabilities include batch and real-time embedding ingestion, vector indexing, similarity search for conversational context augmentation, and analytic retrieval for feedback summarization and classification.
Integrations are explicit between OpenAI model APIs and the Pinecone vector database, with API orchestration connecting embedding outputs to product surfaces such as AI assistants and feedback-analysis tools. Operational scope covers product engineering and data teams building and maintaining embedding pipelines, index refresh schedules, and retrieval routing for clients across Latin America, with site presence noted in Chile.
Governance and process changes focused on embedding lifecycle controls, index maintenance workflows, and model selection policies to support consistent retrieval behavior. According to Pinecone documentation, using OpenAI Embeddings together with Pinecone reduced engineering overhead, sped time-to-market, and improved retrieval accuracy for Deeptalks conversational and analytic use cases.
|
 |
Ocrolus | Professional Services | 15 | $2M | United States | OpenAI | OpenAI Embeddings | Generative AI Platforms | 2023 | n/a |
In 2023, Ocrolus integrated OpenAI Embeddings into its document automation pipeline, announcing the integration in May 2023. The deployment targets extraction and classification of semi-structured and unstructured financial documents, including bank statements, paystubs, and mortgage applications, to support lending decisions in the United States, aligning the implementation with the Generative AI Platforms category.
OpenAI Embeddings are used to vectorize document content for semantic retrieval and similarity matching, improving automated data extraction and downstream classification workflows. The implementation focuses on embedding-driven content indexing and automated labeling, which reduces reliance on rule-based parsing and expands coverage for nonstandard document formats common in lending processes.
Operational scope centers on loan processing and underwriting functions used by lenders in the United States, with the embeddings integrated into Ocrolus's document automation pipeline rather than as a separate standalone service. The integration influences document review and exception handling workflows, enabling more automated triage and reducing manual annotation burdens for operations teams.
Ocrolus reports that OpenAI Embeddings reduce human involvement and increase throughput for lenders processing loans, while improving extraction and classification of targeted financial documents. These outcomes were stated by the company at the time of the May 2023 announcement, and they reflect the applied use of Generative AI Platforms capabilities to augment document-centric lending operations.
|
 |
TaskUs | Professional Services | 49600 | $995M | United States | OpenAI | OpenAI Embeddings | Generative AI Platforms | 2024 | n/a |
In 2024, TaskUs implemented OpenAI Embeddings as part of its TaskGPT/AssistAI stack, leveraging Generative AI Platforms capabilities to support customer service and customer experience use cases. The deployment uses OpenAI Embeddings models, including model variants such as OpenAI Ada, to generate dense vector representations for semantic search and retrieval-augmented generation supporting agent assistance and automated recommendations.
The implementation surfaces core functional capabilities for semantic search, retrieval-augmented generation, and client-specific recommendation workflows. Configuration focuses on embedding generation pipelines, vector indexing and similarity search, and orchestration of RAG workflows to produce contextual responses and recommendations within agent assistance flows.
Architecturally the implementation was executed on AWS with embeddings persisted in Pinecone, integrating the vector store into the TaskGPT/AssistAI runtime for real-time retrieval and ranking. Operational scope centers on customer service and CX engagements, with client-specific indexes and retrieval logic to tailor recommendations and retrieval to individual client datasets.
Governance and rollout were centered on integrating OpenAI Embeddings into existing AI assistance pipelines within TaskGPT/AssistAI, with production adoption for client-facing workflows. A Pinecone case study reporting on the same deployment documents outcomes including approximately a 20% reduction in average handle time and approximately a 5% increase in customer satisfaction.
|
 |
|
Professional Services | 30 | $3M | United States | OpenAI | OpenAI Embeddings | Generative AI Platforms | 2023 | n/a |
|
Buyer Intent: Companies Evaluating OpenAI Embeddings
- Baseten, a United States based Professional Services organization with 60 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||