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Cult.fit says it has expanded OpenAI’s Codex from engineering into data analysis and internal workflows, with more than 20 applications built by non-engineering teams in recent months. The company also uses the OpenAI API for a voice-based AI Trainer and says one internal software rebuild avoided more than $100,000 in annual costs.
Indian fitness company cult.fit says it has expanded OpenAI’s Codex beyond software engineering, using the coding tool to help business teams analyze data and build internal applications. The company says the rollout has supported more than 20 applications built by non-engineering teams in recent months, as it also develops AI-based member services using the OpenAI API.
Cult.fit says it standardized its software development lifecycle on Codex after developers had been using a mix of coding assistants and agents. The company says a shared platform lets teams use common approaches for repository structures, agent instructions, testing, code review and feedback. Its CTO, Santhosh Kumar, described the move as a way to make the organization more AI-oriented, rather than limiting AI use to coding.
The company has developed specialized engineering agents for tasks including incident investigation and security. Its Site Reliability Engineering agent can gather information from observability tools and logs, investigate incidents and, in many cases, prepare a proposed fix as a pull request for an engineer to review. Cult.fit says it is also moving toward specification-led development, in which a defined requirement guides work toward a reviewable pull request.
Kumar said a social feed for the cult.fit app was built and shipped in two months using the newer workflow, compared with an estimate of more than a year under the company’s previous approach. That timing is the company’s estimate, and the supplied report does not provide independent verification or details of the project’s scope.
Codex Moves Beyond Engineering
The expansion matters because it places software-building tools in the hands of teams outside engineering, potentially reducing dependence on central technical and analyst groups for routine work. Cult.fit says teams can now query company data themselves, where smaller requests previously went through a central analyst team. It reports that human resources staff built a workflow for performance reviews, scheduling and feedback collection.
The company also says an engineer rebuilt the functionality of internal dashboard software over a weekend after the cost of that software rose sharply. Cult.fit estimates the change avoids more than $100,000 in annual software costs. The report does not identify the vendor, explain how the savings were calculated, or say whether the rebuilt tool replaces the product entirely.
For members, the parallel effort is a voice-first AI Trainer that uses GPT Realtime through an OpenAI API integration to give workout cues and support workout logging through two-way voice interaction. Cult.fit says about 20% of its gym users use the existing AI Trainer; it gives no measurement period or usage definition. The company says more than 45% of its members are first-time gym goers, making guidance a focus of its product work.
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From Coding Tools to Member Services
Cult.fit describes itself as a technology-enabled fitness business with 708 fitness centers across 77 cities and nearly one million paid members. Its operations combine subscriptions for gym access and trainer-led classes with consumer products such as fitness equipment, footwear and activewear. These scale figures come from the company profile in OpenAI’s report.
The company’s Codex rollout began with engineering standardization, then broadened to data access and internal app development. Cult.fit says it supported that change with a company hackathon, a one-day session in which managers built tools for their functions, and twice-weekly engineering office hours. Engineers are also embedded in selected functions, according to the report. Separately, the company says it is applying AI to customer support cases, including requests to waive penalties after missed group classes; the supplied material describes checking local weather and attendance signals but does not provide further details about the process.
““Once we standardized on Codex, we could build our software development lifecycle around a single platform.””
— Santhosh Kumar, CTO of cult.fit
Independent Results Remain Unreported
The account is published by OpenAI, Codex’s developer, and relies on cult.fit’s descriptions of its own results. The material does not include independent validation of the reported development timelines, cost avoidance, app count or productivity effects. It also does not specify how the company measured the estimated two-month build, what work the previous one-year estimate covered, or the period and methodology behind the $100,000 savings figure.
Details about the AI Trainer’s performance, member satisfaction and effect on workout outcomes are not provided. The report also does not state how the customer-support agent handles disputed or ambiguous cases, what level of human review is used, or how member data and decisions are governed. It is unclear how broadly the internal tools have been adopted or whether the reported workflows will change as the rollout grows.
More Workflows and Member Features
Cult.fit says it is continuing to extend Codex across functions and move toward a specification-led engineering process, with engineers supporting teams through office hours and embedded roles. The company has not announced a timeline for further deployments or provided targets for adoption, savings or development speed.
On the customer side, the company is developing the voice-first AI Trainer and applying AI to selected support workflows. The supplied report does not give launch dates, availability by membership tier or plans for measuring results. Those details will help show whether the tools remain internal productivity aids or become a broader part of the member experience.
Key Questions
What is cult.fit doing with Codex?
Cult.fit says it uses Codex to standardize software development and support work such as incident investigation. It has also expanded access to data analysis and internal app-building beyond engineering.
How many internal apps have non-engineering teams built?
Cult.fit says non-engineering teams have built more than 20 applications in recent months. The report does not list each application or provide adoption figures.
What does the AI Trainer do?
The updated AI Trainer is designed for two-way voice interaction, offering workout cues and support for logging workouts. Cult.fit says it uses GPT Realtime through an OpenAI API integration.
How much does cult.fit say it saved?
The company says rebuilding the functionality of internal dashboard software avoided more than $100,000 in annual costs. The report does not explain the calculation or independently verify the estimate.
Are the reported results independently verified?
No independent verification is included in the supplied report, which was published by OpenAI and presents cult.fit’s own estimates and accounts. Measures of productivity, member outcomes and tool adoption remain unspecified.
Source: openai.com
