Industry Analysis
How Holafly achieved 5x faster localization via a custom AI skill and Crowdin
End-to-end AI localization operating systems are replacing point tools
Holafly's implementation of a custom AI skill with Crowdin has driven a remarkable transformation in their localization process, propelling speed and efficiency to an impressive degree.
The company's mobile app, now available in 16 languages, achieved a localization speed increase of 4 to 5 times. This leap in efficiency exemplifies the tangible impact of intelligent automation when seamlessly integrated with effective project planning. The backbone of this advancement is the synergy between Crowdin's robust platform and the Claude 4.6 Sonnet AI model, which underpins Holafly's agile approach to language services.
The execution of this strategy was not only about technology adoption but also smart operational tactics. Holafly introduced four new European languages without incurring any additional development work, showcasing how strategic deployment of AI can streamline processes. Marcel Pintó Biescas, the Head of Mobile at Holafly, emphasizes that the company doesn't halt its developmental train for translations. Instead, they embrace the calculated risk of using AI translations, with a confidence that aligns with the expectation of human post-editing to ensure quality. This pragmatic balance between speed and accuracy allows Holafly to maintain its competitive edge while minimizing the bottlenecks traditionally associated with translation tasks.
One of the key revelations in Holafly's approach is their ability to integrate AI while retaining a degree of human oversight that bolsters quality assurance. Although AI handles the initial translation heavy lifting, most content undergoes a proofreading stage, effectively mitigating potential quality risks of AI-translated text. This layered approach underscores a fundamental understanding at Holafly that technological efficiency and human expertise are not mutually exclusive but rather complementary forces. Their willingness to manage the inherent risks of cutting-edge technology is tempered by a commitment to maintaining the integrity of their brand's voice across diverse linguistic landscapes.
In the broader context of the language services sector, Holafly's strategy underscores a pivotal transition in how multilingual content is engineered. By leveraging an AI-enabled workflow within Crowdin, Holafly not only accelerates its localization cycles but also sets a benchmark for how modern businesses can adapt to the demands of global markets. This evolution signals a shift in localization strategies, where AI is positioned not just as a tool for efficiency but as a catalyst for innovation in managing cross-cultural interactions and communications.
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