List of OpenAI Codex Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
MIT Department of Electrical Engineering and Computer Science Education 130 $10M United States OpenAI Legacy OpenAI Codex AI Frameworks and Libraries 2021 n/a
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Buyer Intent: Companies Evaluating OpenAI Codex

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating OpenAI Codex. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating OpenAI Codex for AI Frameworks and Libraries include:

  1. Rong Giant Bestment, a South Korea based Professional Services organization with 10 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
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FAQ - APPS RUN THE WORLD OpenAI Codex Coverage

OpenAI Codex is a AI Frameworks and Libraries solution from OpenAI.

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

Organizations such as MIT Department of Electrical Engineering and Computer Science are recorded users of OpenAI Codex for AI Frameworks and Libraries.

Companies using OpenAI Codex are most concentrated in Education, with adoption spanning over 21 industries.

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

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

Customers of OpenAI Codex 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 Codex customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI Frameworks and Libraries.