OpenAI and Dell Technologies are working together to help enterprises bring Codex into the environments where their most important data, systems, and workflows already live.
Codex has become one of the fastest-growing products in OpenAI’s enterprise portfolio. More than 4 million developers now use Codex every week, and enterprises are using it across the software development lifecycle—from code reviews and test coverage to incident response and large-scale codebase reasoning.
Codex’s use cases are also expanding beyond coding. Teams are now using Codex-powered agents to gather context across tools, prepare reports, route product feedback, qualify leads, draft follow-up messages, and coordinate work across business systems.
Scaling these deployments requires Codex to run securely in the hybrid and on-premises environments where enterprises already keep their data, systems, and workflows—for example, within the Dell AI Data Platform and Dell AI Factory.
Through this partnership, Codex will connect to the Dell AI Data Platform. Many enterprises already use this platform to store, organize, and govern enterprise data on-premises. This collaboration helps bring Codex closer to the internal context that makes agents truly useful: codebases, documentation, business systems, operational knowledge, and team workflows.
Dell and OpenAI will also explore how Codex can integrate with Dell AI Factory, which enterprises use to support their AI workloads. This includes connecting Codex, ChatGPT Enterprise, and other API-based solutions to AI Factory to prepare data, manage record systems, run tests, and deploy AI applications integrated into enterprise hybrid or on-premises Dell infrastructure.
“This partnership with OpenAI brings together Dell’s industry-leading enterprise infrastructure and OpenAI’s cutting-edge agentic AI tools and models. Dell AI Factory powered by OpenAI Codex makes it possible to bring AI into the enterprise where enterprise data already lives—inside the enterprise—and gives customers a practical, secure path to deploy AI agents at scale.”
——Ihab Tarazi, Senior Vice President and Chief Technology Officer, Infrastructure Solutions Group, Dell Technologies
For customers, this means a more realistic path to production. Codex can be placed close to enterprise data and systems, with the control large organizations need, while still retaining the flexibility to support a broader range of software development and knowledge-work scenarios.
By connecting Codex to governed enterprise data inside Dell environments, customers will be able to build, test, automate, analyze, and take action in production workflows with richer context at their disposal.
We hope this helps more enterprises adopt Codex faster, expand into more high-value workflows, and turn AI agents into reusable systems that are genuinely useful in real-world operations.