Fitness business software platform with payment processing and member management
ABC Fitness operates a multi-product suite for gym and fitness centers, spanning member management, billing, and payment processing. The tech stack reveals a dual-track modernization effort: Java/Spring and .NET backends powering legacy club-management software, while concurrent adoption of LangChain, LangGraph, and Workday Prism signals a push toward AI-native workflows and operational standardization. Active projects in LLM evaluation, agent orchestration, and core API modernization, paired with pain points around legacy development models and SMB revenue scaling, indicate the company is rebuilding its platform layer while defending existing customer bases.
Notable leadership hires: Cross-Sell Upsell Director
ABC Fitness develops software for fitness facilities of all sizes, offering integrated solutions for club management, member billing, and payment processing. The company operates globally with engineering, sales, and data teams distributed across eight countries (Poland, India, United States, Ireland, Australia, Brazil, Canada, Argentina). With 1,001–5,000 employees and headquarters in Sherwood, Arkansas, ABC Fitness serves a broad customer base spanning boutique studios to large multi-location chains. The product portfolio handles payment routing through Stripe, Worldpay, and GoCardless, member data in Oracle and SQL Server, and business analytics via Power BI, Tableau, and Qlik Sense.
Java, Spring, .NET, ASP.NET Core, SQL Server, Oracle, MongoDB, MySQL, AWS, GCP, Azure. Analytics: Power BI, Tableau, Qlik Sense, Databricks. Payments: Stripe, Worldpay, GoCardless. Recently adopting LangChain, LangGraph for AI capabilities.
LLM evaluation and AI-powered product capabilities, modernizing core APIs for AI-native workflows, agent orchestration, mobile app development, and a platform migration to production. Also scaling revenue for the SMB segment and redesigning compensation plans.
ABC Fitness's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.