Overview
SkyFi wants anyone, not just governments and big enterprises, to pull satellite imagery and geospatial data straight from their phone. Built in Austin with teams across Europe and the US, its app strips away the technical barriers that once made Earth observation a specialist's game. The mission was global; for a while, the content wasn't.

The Challenge
SkyFi faced several obstacles in engaging a global audience:
English-only content
All announcement videos and support materials were exclusively in English, limiting SkyFi's ability to connect with non-English-speaking users.
High cost & long turnaround
Traditional video localization was prohibitively expensive and time-consuming, making it impractical for rapid, frequent releases.
Untapped market potential
Without localized content, SkyFi risked leaving significant marketing opportunities on the table across regions where English proficiency is low.
The Solution
Rask AI's comprehensive video localization platform enabled SkyFi to break language barriers and streamline its global outreach:
Expanding global reach
By translating and dubbing new product announcement videos into 10 languages, SkyFi increased its potential audience by approximately 100 million users.
High-quality translation & voice cloning
Rask AI handled 90-95 percent of SkyFi's translation workload, with VoiceClone preserving the authenticity of the brand voice across top languages.
Strategic marketing insights
SkyFi translated a CEO keynote into the top languages and used ad engagement metrics to prioritize further localization efforts, optimizing resource allocation.
Strengthening customer & partner relationships
Localized videos generated positive feedback, leading to new inquiries and stronger engagement with distribution partners.
Industry influence & broader adoption
SkyFi's success with Rask AI attracted investor interest and inspired other organizations to adopt AI-driven localization strategies.
The Impact
100 million more potential users reached through localized announcements.
Enhanced global team collaboration via culturally relevant materials.
90-95% translation efficiency, reducing manual workload.
Data-driven prioritization of languages for app localization.