XPEL manufactures automotive and architectural protective films and ceramic coatings, distributed through a trained installer base supported by proprietary software (DAP). The tech stack—multi-cloud (Azure, AWS, GCP), containerized (.NET, Java, Python, Kubernetes), ERP-integrated (NetSuite, SAP)—is production-grade; current hiring (4 of 6 roles in engineering, weighted toward senior/principal level) and active projects (deployment automation, TPU formulation scaling, manufacturing process automation) suggest internal push to reduce manual manufacturing steps and shrink bench-to-production cycles, two recurring pain points in the project data.
XPEL is a publicly traded manufacturer and distributor of paint protection film, window tint, solar and security films, and ceramic coatings for automotive and commercial/residential applications. The company operates a network of trained installers globally and maintains proprietary DAP (design and application) software to coordinate orders, logistics, and technical guidance. Scale spans manufacturing (compound formulation and extrusion), software operations (web, desktop, mobile release management), and go-to-market (direct sales, installer support, content-driven marketing). Headquarters in San Antonio, Texas; 201–500 employees.
Multi-cloud (Azure, AWS, GCP), containerized backend (.NET, Java, Python, Kubernetes, Docker), databases (SQL Server, Oracle), ERP (NetSuite, SAP), and proprietary DAP software. Frontend: Node.js, TypeScript, Bootstrap, jQuery.
Next-gen product roadmap, deployment pipeline automation, TPU formulation and extrusion trials, pigment masterbatch development, and manufacturing process automation to reduce manual steps and scrap rates.
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XPEL'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.