List of OpenAI GPT-3 Customers
San Francisco, 94158, CA,
United States
Since 2010, our global team of researchers has been studying OpenAI GPT-3 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 GPT-3 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 GPT-3 for Generative AI Platforms include: Warner Bros. Discovery, a United States based Media organisation with 35000 employees and revenues of $39.32 billion, Quizlet, a United States based Education organisation with 250 employees and revenues of $30.0 million, Willdom, a United States based Professional Services organisation with 192 employees and revenues of $20.0 million, Inworld AI, a United States based Professional Services organisation with 75 employees and revenues of $6.0 million, Waymark, a United States based Professional Services organisation with 40 employees and revenues of $4.0 million and many others.
Contact us if you need a completed and verified list of companies using OpenAI GPT-3, 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 GPT-3 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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Computational Neurolinguistics Lab | Healthcare | 15 | $1M | United States | OpenAI | OpenAI GPT-3 | Generative AI Platforms | 2023 | n/a |
In 2023, Computational Neurolinguistics Lab implemented OpenAI GPT-3 as a core research tool to support in silico analyses of natural language production. The OpenAI GPT-3 deployment was applied to studies of sentence production and second language acquisition, extending comparative experiments previously run with OpenAI GPT-2 and human speech data. The integration followed a lightweight, API-driven architecture typical for Generative AI Platforms, with model access embedded into Python and R analysis pipelines to enable programmatic prompting, batch inference, and scripted feature extraction. Functional capabilities implemented included utterance simulation for stimulus generation, automated model-based comparison workflows, and data preparation routines used for visualization and statistical exploration. Model outputs were combined with multimodal experimental data, specifically EEG recordings collected via Emotiv wireless EEG headsets, and incorporated into the lab's data cleaning and analysis processes. Operational scope covered the lab's research activities and experimental design, with faculty and peers coordinating model use, protocol definition, and dissemination of findings within the Computational Neurolinguistics Lab.
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Eduleaf | Professional Services | 10 | $1M | United States | OpenAI | OpenAI GPT-3 | Generative AI Platforms | 2022 | n/a |
In 2022, Eduleaf implemented OpenAI GPT-3 as part of its Generative AI Platforms adoption to embed generative models across its machine learning and client delivery workflows. The deployment used OpenAI GPT-3 to power language generation and classification features within a compact professional services engineering organization headquartered in the United States, aligning the application with product development and client outreach functions.
Implementation modules included a software engineer classifier built from GitHub repository signals and code quality features, a resume information extraction pipeline using a custom named entity recognition model combined with rule based extraction, and a personalized recommendation engine that analyzed social media interests. Eduleaf also developed an email generation system leveraging GPT language capabilities with LinkedIn data, a conversational insight bot that retrieved Zoom recordings, produced Whisper based transcriptions, and extracted findings using ChatGPT model prompts, plus image generation experiments using DALL·E and a computer vision MaskRCNN trained on a bespoke dataset for face mask detection.
Integrations explicitly referenced in the implementation included GitHub data sources, LinkedIn data, Facebook and Twitter APIs for social signals, Zoom for call capture, OpenAI Whisper for transcription, ChatGPT for conversational insight extraction, and DALL·E for image generation. Operational coverage centered on the companys machine learning and engineering teams, with models and APIs orchestrated through standard development pipelines appropriate to a 10 person firm, supporting client projects and internal automation workflows.
Governance and delivery were managed using Agile frameworks and Scrum practices, with project tracking through Jira and Trello, and senior machine learning engineering leadership guiding cross functional teams from design through delivery. The narrative reflects a program of prompt engineering, model orchestration, and API driven integration consistent with Generative AI Platforms implementations in small professional services firms.
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FindOurView | Professional Services | 12 | $2M | United States | OpenAI | OpenAI GPT-3 | Generative AI Platforms | 2021 | n/a |
In 2021, FindOurView integrated OpenAI GPT-3 into its Generative AI Platforms architecture to power SaaS advanced analytics for unstructured ecommerce reviews. The implementation was embedded in a full stack application developed in collaboration with the CTO and CDO, leveraging AWS SageMaker for model training and deployment, Amazon Redshift for secure data warehousing, and a React front end for client interaction.
The project implemented end to end data pipelines for ingestion, deduplication, and retention using SQL and Python, with Langchain APIs used for data manipulation and querying. The solution incorporated Transformers pipeline components from Hugging Face for NLP tasks, Langchain Chains and Agents to orchestrate model-driven workflows, and an AI scheduling module built in SageMaker that applies a FIFO principle to appointment booking.
Integrations explicitly included OpenAI models such as da-vinci alongside OpenAI GPT-3 as part of the Generative AI Platforms footprint, and experimentation with Databricks Dolly_v2. The architecture reused Langchain for API interaction and memory callbacks, Hugging Face Transformers for model pipelines, FastAPI to expose prediction endpoints, Spark cluster ingestion for unified person data, and container deployments to Docker and GCP Kubernetes for portability.
Governance and MLOps practices were formalized using MLflow to manage model artifacts, configurations, and YAML packaging between training and inference pipelines on AWS SageMaker. A model interpretation module was implemented in Python to surface feature contribution scores and what if analysis, and Langchain memory and callback features were incorporated into production chains to support explainability and operational tracing.
The implementation produced a consolidated FindOurView OpenAI GPT-3 Generative AI Platforms capability that delivered a robust solution with reliable and secure storage in Redshift, improved scheduling efficiency through the FIFO agent, and productionizable CV and overstaying risk POCs. The overstaying probability model is planned for future use by the National Targeting Center, and the team documented APIs and MLOps artifacts to support ongoing operationalization.
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Professional Services | 75 | $6M | United States | OpenAI | OpenAI GPT-3 | Generative AI Platforms | 2022 | n/a |
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Professional Services | 28 | $3M | United States | OpenAI | OpenAI GPT-3 | Generative AI Platforms | 2022 | n/a |
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Education | 250 | $30M | United States | OpenAI | OpenAI GPT-3 | Generative AI Platforms | 2023 | n/a |
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Media | 35000 | $39.3B | United States | OpenAI | OpenAI GPT-3 | Generative AI Platforms | 2021 | n/a |
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Professional Services | 40 | $4M | United States | OpenAI | OpenAI GPT-3 | Generative AI Platforms | 2022 | n/a |
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Professional Services | 192 | $20M | United States | OpenAI | OpenAI GPT-3 | Generative AI Platforms | 2021 | n/a |
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Professional Services | 40 | $4M | United States | OpenAI | OpenAI GPT-3 | Generative AI Platforms | 2022 | n/a |
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Buyer Intent: Companies Evaluating OpenAI GPT-3
Discover Software Buyers actively Evaluating Enterprise Applications
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