List of OpenAI GPT-3.5 Customers
San Francisco, 94158, CA,
United States
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 65200 employees and revenues of $20.56 billion, Siemens Healthineers USA, a United States based Professional Services organisation with 17000 employees and revenues of $9.24 billion, Shopify, a Canada based Retail organisation with 8100 employees and revenues of $8.88 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.
The OpenAI GPT-3.5 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
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.
|
|
|
ADP | Professional Services | 65200 | $20.6B | 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.
|
|
|
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.
|
|
|
|
Non Profit | 40 | $25M | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
|
|
|
|
Education | 12229 | $2.9B | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
|
|
|
|
Professional Services | 40 | $4M | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
|
|
|
|
Consumer Packaged Goods | 150 | $20M | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
|
|
|
|
Manufacturing | 5000 | $1.2B | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2022 | n/a |
|
|
|
|
Professional Services | 15 | $1M | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
|
|
|
|
Professional Services | 20 | $2M | United States | OpenAI | OpenAI GPT-3.5 | Generative AI Platforms | 2023 | n/a |
|
Buyer Intent: Companies Evaluating OpenAI GPT-3.5
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||