Tevo builds mobile applications with embedded AI for productivity, education, and entertainment use cases. The tech stack is mobile-native (Java, Kotlin, Swift, RxSwift) with Firebase backend and Google/Meta/TikTok integrations — typical of consumer app companies. However, the pain-point list (low app-store rankings, negative reviews, low install conversion) and active projects (A/B testing for ASO, algorithm monitoring, competitive analysis across niches) reveal a company fighting for discoverability in crowded app-store categories rather than scaling an established product.
Tevo develops mobile applications that combine artificial intelligence with consumer use cases in productivity, education, and entertainment. The company operates at 11–50 employees from Hanoi and is currently hiring across engineering, marketing, and data roles — predominantly junior and mid-level. Their technical approach centers on native mobile development (iOS and Android) with cloud infrastructure (Firebase, Google Play services). Current work priorities include improving app-store visibility through A/B testing and algorithm monitoring, building analytics dashboards to track product KPIs, and competitive positioning within their target niches.
Mobile-native (Java, Kotlin, Swift, RxSwift), Firebase backend, Google Play and iOS platform services, analytics via Looker Studio and Metabase, and integrations with Meta, Google, and TikTok ad networks.
App-store optimization through A/B testing, algorithm monitoring for rankings, competitive analysis across productivity/education/entertainment niches, ad network campaign deployment, and product analytics dashboards.
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