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SocialConsumer Tech

Intelligent Matching for a Social News Platform

A fast-growing US social platform startup

AI team augmentation that hardened the platform's architecture, mobile performance, and ML matching engine for scale.

Team augmentation

Embedded senior engineers

Higher accuracy

ML compatibility scoring

Faster releases

Fewer defects, raised standards

Challenge

Evolving the platform to support long-term growth

As the application expanded, the team identified opportunities to strengthen its technical foundation. Building scalable architecture, broadening machine-learning expertise, enhancing mobile development practices, and raising overall engineering standards became key steps for long-term growth.

Approach

Driving performance and standards

Pento engaged under a team-augmentation model to strengthen the client's team at critical stages. Our engineers enhanced mobile performance with React Native and Android expertise, reinforced backend development with Laravel and MySQL, and upgraded the ML engine to deliver accurate compatibility scores.

Raising engineering quality

Structured code reviews and technical mentoring raised standards, reduced defects, and accelerated feature releases across the team.

Outcome

Building a scalable platform

The application matured into a robust, scalable platform. It expanded its feature set and established itself as a viable alternative in social networking.

Focus Areas

AI & ML SolutionsTeam AugmentationMobile Development

Services Provided

AI Team AugmentationMachine Learning ServicesMobile DevelopmentBackend Development

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