Fluper

Fluper was contracted by Wisk, an autonomous air taxi company, to develop a machine learning (ML) prediction system for dynamic air ticket pricing. A team of 2-5 Fluper employees implemented a random forest as the primary model and switched the evaluation procedure from the MAPE metric to SMAPE, which improved error correction by 10-17%. They also designed a price modifier for the customer ticket sale platform based on historical data, which reduced service costs and increased customer ROI through dynamic price updates.

FreeSoft, a global provider of automated legacy modernization and migration services, hired Fluper to develop a mobile app. The app was designed to enhance client interactions and streamline services. It includes features such as a client dashboard, live chat, and push notifications. Fluper was responsible for the entire development process, from planning and design to deployment, and integrated the app with FreeSoft's internal systems. The app was successfully launched on both app stores, improving customer engagement and aligning with the company's brand identity.

Breezepay, a company focused on providing quick and seamless stablecoin transactions, enlisted Fluper's services to develop a mobile app. The app was designed to simplify cloud and cybersecurity services for business clients. Fluper's team integrated the app with Breezepay's existing systems, developed features like real-time notifications, customizable dashboards, and secure communication. After robust testing, the app was launched, and Fluper continues to provide reliable support for updates and fixes.