List of OpenAI GPT-3.5 Customers
OpenAI
1455 3rd St,
San Francisco, 94158, CA,
United States
San Francisco, 94158, CA,
United States
1 669-200-3584
Professional Services
4000
$13.1B
Since 2010, our global team of researchers has been studying OpenAI GPT-3.5 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-3.5 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-3.5 for Generative AI Platforms include: Elevance Health, formerly Anthem, Inc, a United States based Insurance organisation with 104900 employees and revenues of $171.34 billion, Evernorth Health Services, a United States based Healthcare organisation with 50000 employees and revenues of $140.00 billion, ADP, a United States based Professional Services organisation with 67000 employees and revenues of $21.80 billion, Shopify, a Canada based Professional Services organisation with 7600 employees and revenues of $11.56 billion, Siemens Healthineers USA, a United States based Professional Services organisation with 17000 employees and revenues of $9.24 billion and many others.
Contact us if you need a completed and verified list of companies using OpenAI GPT-3.5, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Abeyon | Professional Services | 10 | $1M | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
In 2023, Abeyon implemented OpenAI GPT-3.5 as a Generative AI Platforms deployment focused on text extraction and classification workflows. The implementation was executed from Abeyon’s Fairfax, VA operations and aligns the OpenAI GPT-3.5 application with client services and data science activities at the firm.
The technical implementation used named entity recognition applied to an equipment classification manual covering about 1,000 datapoints for labeling, and prompt engineering plus fine-tuning to scale extraction across approximately 25,000 unstructured datapoints. LangChain was used alongside OpenAI GPT-3.5 models to extract keywords and generate embeddings, and cosine similarity comparisons were performed to benchmark against BERT training results. A downstream SVM classification model was prepared using the selected feature set to produce categorical predictions.
Operational coverage centered on data science and client-facing workflows, with the Data Scientist Intern in Fairfax contributing to model development and production handoff. Governance and process adjustments included dataset labeling, model selection, and a prediction workflow to support leadership in matching descriptive equipment texts to the correct department, enabling Abeyon’s use of OpenAI GPT-3.5 within its Generative AI Platforms capability for day to day client request handling.
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ADP | Professional Services | 67000 | $21.8B | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
In 2023, ADP implemented OpenAI GPT-3.5 in a Generative AI Platforms initiative to build a GPT 3.5 Turbo powered chatbot intended to enhance HCM services. The project targeted ADP's HR and payroll service channels, establishing a conversational layer to improve employee self service and routine inquiry handling within the HCM product set.
The OpenAI GPT-3.5 deployment emphasized conversational AI modules including natural language understanding for HR queries, intent recognition, contextual response generation, and session handling for multi turn dialogues. Configuration work included prompt engineering, role based response constraints to control scope of answers, and integration of business rules to align responses with HR policy and payroll guidance.
The chatbot was integrated into ADP HCM service touchpoints to support employee facing HR support and payroll assistance workflows while preserving escalation paths to human specialists for complex or sensitive cases. Operational coverage focused on augmenting service channels and agent workflows rather than replacing human adjudication in HR decision making.
Development and rollout followed Agile methodology with iterative sprints, backlog prioritization, and staged user acceptance cycles to refine prompt sets and coverage. Governance measures included change control for model updates, access controls around sensitive HR and payroll data, and defined escalation workflows to route unresolved queries to ADP HR specialists.
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Alteryx | Professional Services | 2345 | $1.0B | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2022 | n/a |
In 2022, Alteryx deployed OpenAI GPT-3.5 as part of its Generative AI Platforms work within the intelligence suite product development stream. The deployment supported both new machine learning cloud products and enhancements to existing intelligence suite offerings, driven by a cross-functional development team of engineers and product management.
Implementation centered on embedding OpenAI GPT-3.5 for natural language understanding and generative capabilities alongside document understanding models such as LayoutLM and other machine learning tooling. Engineering delivered a split-plane architecture separating model orchestration from sensitive data handling to comply with complex data governance requirements, and implemented tooling for model training and automated data labeling to operationalize model lifecycle workflows.
Integrations were executed through close collaboration with product management and the data science organization, with the engineering team providing guidance and tooling to simplify annotation and model training pipelines. The work spanned cloud-hosted machine learning components, inference endpoints, and developer-facing training utilities, impacting engineering, data science, and product management functions.
Governance and rollout emphasized data governance controls and capability enablement, with engineers providing mentoring, code pairing, and formal training on machine learning principles to align implementation with product requirements. The OpenAI GPT-3.5 integration was instrumented alongside existing ML components to create a cohesive Generative AI Platforms capability within Alteryxs intelligence suite.
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American Journalism Project | Non Profit | 40 | $25M | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
In 2023 American Journalism Project implemented OpenAI GPT-3.5 under a Generative AI Platforms initiative to help its portfolio of nonprofit local news organizations explore applied generative AI. The program pairs a centralized technology and AI studio with direct pilot grants and API provisioning to enable experiments in newsroom workflows and information delivery.
The technology and AI studio functions as the operational hub, providing assessment, expert coaching, and capacity building for editorial and product teams. Core capabilities targeted with OpenAI GPT-3.5 include model inference via the OpenAI API, prompt engineering, automated content drafting and summarization, structured analysis of public data, audience personalization workflows, and prototypes for new information formats to support reporting and engagement.
Integration architecture is centered on OpenAI API consumption, with OpenAI committing up to 5 million dollars in API credits alongside 5 million dollars in funding to finance pilots. AJP will distribute direct grants to approximately ten portfolio organizations that may build tools using the OpenAI API, while the studio orchestrates API access, shared tooling patterns, and a learning community across AJP’s portfolio to capture implementation artifacts and reusable guidelines.
Governance is organized around the studio and the learning community, documenting best practices, ethical guidelines, and operational playbooks and creating a feedback loop with OpenAI and external partners. The partnership explicitly acknowledges operational risks and policy challenges including misinformation, model bias, privacy, and copyright, and positions the pilots and documentation efforts to surface field-informed mitigation approaches while expanding local newsrooms capacity to experiment with generative AI using OpenAI GPT-3.5.
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Arizona State University | Education | 12229 | $2.9B | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
In 2023, Arizona State University implemented OpenAI GPT-3.5 within the Department of Information Systems to support faculty-led research on question answering for academic projects. The deployment is categorized under Generative AI Platforms and is recorded as part of research assistant activity supporting Professor Xia Liu from July 2023 to present.
The implementation focuses on building and training extractive and generative question answering models, combining deep learning architectures BERT, RoBERTa, and OpenAI GPT-3.5 for model development, training, and inference. Workstreams include corpus curation and annotation, scripted training and fine-tuning pipelines, experiment tracking, and model evaluation workflows to compare extractive and generative approaches. OpenAI GPT-3.5 is used for generative response synthesis while BERT and RoBERTa provide extractive ranking and representation learning, reflecting a hybrid research architecture common in Generative AI Platforms projects. Governance is maintained through departmental oversight and professor-led review, emphasizing reproducible training pipelines and documented experiment results.
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Professional Services | 40 | $4M | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
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Consumer Packaged Goods | 150 | $20M | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
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Manufacturing | 5000 | $1.2B | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2022 | n/a |
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Professional Services | 15 | $1M | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
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Professional Services | 20 | $2M | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
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Showing 1 to 10 of 29 entries
Buyer Intent: Companies Evaluating OpenAI GPT-3.5
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FAQ - APPS RUN THE WORLD OpenAI GPT-3.5 Coverage
OpenAI GPT-3.5 is a Generative AI Platforms solution from OpenAI.
Companies worldwide use OpenAI GPT-3.5, from small firms to large enterprises across 21+ industries.
Organizations such as Elevance Health, formerly Anthem, Inc, Evernorth Health Services, ADP, Shopify and Siemens Healthineers USA are recorded users of
OpenAI GPT-3.5 for Generative AI Platforms.
Companies using OpenAI GPT-3.5 are most concentrated in Insurance, Healthcare and Professional Services, with adoption spanning over 21 industries.
Companies using OpenAI GPT-3.5 are most concentrated in United States and Canada, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of OpenAI GPT-3.5 across Americas, EMEA, and APAC.
Companies using OpenAI GPT-3.5 range from small businesses with 0-100 employees - 48.28%, to mid-sized firms with 101-1,000 employees - 10.34%, large organizations with 1,001-10,000 employees - 20.69%, and global enterprises with 10,000+ employees - 20.69%.
Customers of OpenAI GPT-3.5 include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified OpenAI GPT-3.5 customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Generative AI Platforms.