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Transforms course enrollment with AI-based recommendation engines, providing personalized schedule proposals for each student.
Personalizing schedule and group proposals based on profile and curriculum progress, aligned to University rules.
Technology and design to enhance experience through intuitive interfaces adaptable to all devices.
Scalable infrastructure to support thousands of students simultaneously, providing stability without failures or downtimes.
Flexible parameterization to implement dynamic and adaptable rules according to needs for each university.
Adaptable to the university’s visual ecosystem. Integration with workflows (SSO, payment gateways) for seamless experience.
Automates allocation and review workflows, reducing manual intervention and streamlining decision-making.
Recommends individual schedule for each student based on personalized data such as profile, curriculum progress and course availability.
Facilitates students’ self-management during enrollment, granting them control over their academic progress by providing all necessary information in one place.
Provides students a comprehensive and online view of their study plan, including information about courses, requirements and groups, enabling conscious semester planning.
Provides guidance for students through interactive alerts and suggestions, helping them to understand regulations related to their schedule, for compliance with all established rules.
Facilitates students to enroll predefined course sets, allowing them to exchange multiple schedules with a single click and adjust the enrollment based on preferences.
Provides students with a seamless and comprehensive experience, allowing them to complete the entire enrollment process in one place, eliminating administrative steps and simplifying the process.
Provides tools which enable academic staff to perform massive and individual actions, optimizing the process and facilitating real-time support.
Continuous adaptation approach which recognizes the enrollment processes dynamism and unique characteristics of each university, providing flexibility and customization.
It allows students to make preliminary selection of courses before starting the enrollment process, facilitating precise planning of course offerings and quota availability.
Kubernetes-based elastic capacity model.
Infrastructure designed for full exploitation of cloud computing capabilities.
High availability enrollment service, managed and supported by Foris.
Architects specialized in AWS cloud; partnership since 2017.
Please contact our team, to learn more about our solutions.