Client story Accelerating Mobile Language Learning Delivery
CLIENT STORY
Accelerating mobile language learning delivery for a global education provider
Client
A leading international education provider needed to accelerate development of a mobile language learning application offering comprehensive digital courses. Insight AI provided an extended development team that integrated with the client’s existing setup to increase development velocity.
Education
Challenge
The client needed additional support to develop its mobile language learning application, but limited internal resources were slowing development and affecting delivery timelines. This risked delaying the rollout of a strategically important product in a highly competitive digital education market, where speed to market and continuous feature delivery are critical.
The challenge was to increase development capacity without disrupting existing processes, while maintaining high quality and effective communication across an international project.
Outcomes
Insight AI provided an extended development team that worked as a seamless extension of the client’s internal capabilities, using microservices and modern mobile and web technologies. As a result, the mobile application went live in 6 app stores across multiple countries, expanding its international reach.
Insight AI was selected for its flexible team extension model and its technical depth across mobile, web and cloud.
Insight AI was chosen for its ability to provide skilled developers through a flexible model that aligned with the client’s culture and ways of working. Its technical depth matched the needs of a complex international education project. The team demonstrated strong responsiveness, high-quality talent and efficient scaling of resources, operating as an integrated extension of the client’s team.
Our solution
Insight AI provided an extended development team that worked as a seamless extension of the client’s internal capabilities, building a custom solution focused on accelerating feature delivery rather than relying on off-the-shelf products.
The team worked within a Scrum framework, joined the existing workflows and used Jira, Confluence and Git to maintain transparency and alignment. The solution was built to preserve quality and scalability for the international platform.
Key highlights:
- Collaboration: Scrum methodology enabling iterative delivery and close collaboration with the client’s internal team, coordinated through Jira, Confluence and Git
- Architecture: Microservices architecture deployed on AWS, supporting modular development and scalability
- Technology: Kotlin for Android and Swift/SwiftUI for iOS, Next.js, TypeScript and Tailwind CSS for the web frontend, and Java and Python with PostgreSQL on the backend
- Delivery: No major integrations or data migrations, allowing the team to focus on core feature development and stable releases across multiple app stores
Benefits and outcomes
By augmenting its team with experienced developers, the client accelerated the delivery of its mobile language learning application.
- International reach: The mobile application went live in 6 app stores across Turkey, Switzerland, Ukraine, the Netherlands and Benelux, and Indonesia
- Development speed: Faster development and quicker feature releases through team augmentation with experienced developers
- Operational efficiency: Delivery timelines improved as resource constraints were reduced through scalable team extension
- Talent quality: The client highlighted the high quality of talent, efficient team scaling and excellent communication throughout the project
By / 5 Nov 2026 / Topics: Application development
