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
Services Provided
Related
Contact us
Have a Similar Challenge?
We build production AI systems end to end — from strategy and prototype to a scalable, secure platform. Let's talk about yours.