ROSE Digital is a U.S.-based digital transformation and emerging technology services provider. Its website emphasizes that it is not a traditional “digital agency,” but a team that starts from business outcomes and uses tools such as web, mobile, AR, voice, and AI to build digital products. Its public case studies include clients such as Adidas, Airbnb, American Express, JP Morgan Chase, Disney, and New York Lottery. Overall, it is positioned more as a consulting, design, and engineering delivery partner than as a self-serve SaaS-style AI tool.
ROSE’s most visible strengths are augmented reality and digital experience delivery, including Adidas virtual AR unboxing, Patrón AR bottle customization, and KHAITE WebAR apparel showcases. On the AI side, the clearest example mentioned is its work for JP Morgan Chase, where it created machine-learning production systems, middleware, and a web interface to present cash-flow management insights to large corporate clients. Team profiles also mention experimental interests in artificial intelligence, Markov chains, and related areas. However, the website does not disclose specific models, LLM capabilities, proprietary algorithms, or evaluation metrics, so it should not be viewed as a standard AI platform.
Its engineering capabilities appear fairly comprehensive, covering digital strategy, UX/UI, technical execution, and QA. The American Express case study shows that it can integrate identity, risk analysis, data processing, and front-end systems, as well as build backend microservices. The Airbnb case involves content architecture and platform feature optimization. In terms of technology stack, ROSE says it prefers JavaScript but is generally technology-agnostic, and has used Node, PHP, Python, Java, C#, and other technologies, making it suitable for custom integration in complex enterprise environments.
The website does not publish packages, free quotas, trials, or payment methods, so projects are most likely priced on a custom basis. On data privacy, the site does not disclose information on data retention, security compliance, certifications, or SLAs. Although ROSE has worked on finance, identity, and risk analysis-related projects, the specific security mechanisms cannot be confirmed from the available text. Chinese-language support is also not mentioned.
The main advantages are its strong portfolio of brand-level AR and digital experience projects, its ability to deliver across the full chain from strategy to design, development, and QA, and its experience with machine-learning productionization and system integration. The limitations are limited disclosure of AI capabilities, no public pricing, and no standardized product description, so detailed due diligence is needed before procurement. It is best suited for medium to large enterprises and brands looking to build AR marketing experiences, WebAR showcases, enterprise digital platforms, content system optimization, or ML-powered insight interfaces.
Access to the official website from mainland China is unclear, and payment and contracting methods are not disclosed. If a project involves deployment in China, ICP filing, cross-border data transfer, or local cloud deployment, network access, compliance requirements, and delivery team arrangements should be confirmed in advance. Alternatives to consider include Accenture Song, Deloitte Digital, EPAM, Thoughtworks, AKQA, as well as domestic digital transformation, AR/WebAR, and AI application development providers.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on builtbyrose.co official site.
builtbyrose.co is an United States AI Apps provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach builtbyrose.co directly.