AI Buyer Insights:

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of OpenAI GPT-3 Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Professional Services 75 $6M United States OpenAI OpenAI GPT-3 Generative AI Platforms 2022 n/a
Professional Services 28 $3M United States OpenAI OpenAI GPT-3 Generative AI Platforms 2022 n/a
Education 250 $30M United States OpenAI OpenAI GPT-3 Generative AI Platforms 2023 n/a
Media 35000 $39.3B United States OpenAI OpenAI GPT-3 Generative AI Platforms 2021 n/a
Professional Services 40 $4M United States OpenAI OpenAI GPT-3 Generative AI Platforms 2022 n/a
Professional Services 192 $20M United States OpenAI OpenAI GPT-3 Generative AI Platforms 2021 n/a
Professional Services 40 $4M United States OpenAI OpenAI GPT-3 Generative AI Platforms 2022 n/a
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FAQ - APPS RUN THE WORLD OpenAI GPT-3 Coverage

OpenAI GPT-3 is a Generative AI Platforms solution from OpenAI.

Companies worldwide use OpenAI GPT-3, from small firms to large enterprises across 21+ industries.

Organizations such as Warner Bros. Discovery, Quizlet, Willdom, Inworld AI and Waymark are recorded users of OpenAI GPT-3 for Generative AI Platforms.

Companies using OpenAI GPT-3 are most concentrated in Media, Education and Professional Services, with adoption spanning over 21 industries.

Companies using OpenAI GPT-3 are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of OpenAI GPT-3 across Americas, EMEA, and APAC.

Companies using OpenAI GPT-3 range from small businesses with 0-100 employees - 70%, to mid-sized firms with 101-1,000 employees - 20%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 10%.

Customers of OpenAI GPT-3 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 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.