{"id":33,"date":"2026-04-26T12:22:29","date_gmt":"2026-04-26T12:22:29","guid":{"rendered":"https:\/\/blog.quansys.ai\/?p=33"},"modified":"2026-04-26T12:43:19","modified_gmt":"2026-04-26T12:43:19","slug":"scaling-codex-to-enterprises-worldwide","status":"publish","type":"post","link":"https:\/\/blog.quansys.ai\/?p=33","title":{"rendered":"Scaling Codex to enterprises worldwide"},"content":{"rendered":"\n

In early April, we shared that more than 3 million developers were using Codex every week. Just two weeks later, that number has grown to more than 4 million.<\/p>\n\n\n\n

Beyond individual adoption, we are seeing enterprises moving quickly to roll Codex into real workflows across engineering and beyond.<\/p>\n\n\n\n

Companies are using Codex across the software development lifecycle. Virgin Atlantic is using it to increase test coverage and increase team velocity – reducing technical debt and improving performance. Ramp is using it to accelerate code review. Notion is using it to quickly build new features. Cisco is using it to understand and reason across large, interconnected repositories. Rakuten is using it for things like incident response. What starts with one team often expands quickly as leaders see the gains in speed, output, and leverage. Codex is also moving beyond coding\u2060(opens in a new window)<\/a>, with support for tasks like browser-based work, image generation, memory, and ongoing work across tools and apps.<\/p>\n\n\n\n

That momentum is starting to extend beyond engineering. Teams are using Codex to pull together context from different tools, reason through what matters, and turn scattered information into useful work – like briefs, plans, checklists, drafts, and follow-ups – and then take action. That creates a larger opportunity for enterprises to help every team move faster – not just the teams writing code.<\/p>\n\n\n\n

We want to help more enterprises do this.<\/p>\n\n\n\n

Introducing Codex Labs<\/h2>\n\n\n\n

That is why we are launching Codex Labs<\/a>.<\/p>\n\n\n\n

Codex Labs brings OpenAI experts directly into organizations to help teams put Codex to work on real problems. Through hands-on workshops and working sessions, enterprise orgs learn where Codex fits, how to integrate it into existing workflows, and how to move from early usage to repeatable deployment. The goal is simple: help enterprises get real value from Codex, faster.<\/p>\n\n\n\n

Scaling enterprise Codex use with our partners<\/h2>\n\n\n\n

The demand we\u2019re seeing is outpacing our ability to help enterprises adopt Codex as quickly as they\u2019d like. So, we are also working with leading global systems integrators (GSIs) to scale that impact.<\/p>\n\n\n\n

These firms know how to operate inside large enterprises. They know how to modernize software delivery, integrate new systems, support change across complex organizations, and help customers move from pilot to production.<\/p>\n\n\n\n

Today, those partners include Accenture, Capgemini, CGI, Cognizant, Infosys, PwC, and Tata Consultancy Services (TCS).<\/p>\n\n\n\n

These partners will help enterprise customers identify and deploy high-value Codex use cases across the software development lifecycle, moving from pilots to production-ready deployments. They are also using Codex internally, changing the way their teams operate in order to build repeatable ways to bring Codex to customers.<\/p>\n","protected":false},"excerpt":{"rendered":"

In early April, we shared that more than 3 million developers were using Codex every week. Just two weeks later, that number has grown to more than 4 million. Beyond individual adoption, we are seeing enterprises moving quickly to roll Codex into real workflows across engineering and beyond. Companies are using Codex across the software […]<\/p>\n","protected":false},"author":2,"featured_media":59,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-33","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-agents"],"_links":{"self":[{"href":"https:\/\/blog.quansys.ai\/index.php?rest_route=\/wp\/v2\/posts\/33","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.quansys.ai\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.quansys.ai\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.quansys.ai\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.quansys.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=33"}],"version-history":[{"count":1,"href":"https:\/\/blog.quansys.ai\/index.php?rest_route=\/wp\/v2\/posts\/33\/revisions"}],"predecessor-version":[{"id":34,"href":"https:\/\/blog.quansys.ai\/index.php?rest_route=\/wp\/v2\/posts\/33\/revisions\/34"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.quansys.ai\/index.php?rest_route=\/wp\/v2\/media\/59"}],"wp:attachment":[{"href":"https:\/\/blog.quansys.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=33"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.quansys.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=33"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.quansys.ai\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=33"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}