Any questions?
Please contact our team, to learn more about our solutions.
Automates end to end process with AI, using resources efficiently (classrooms, teachers, etc.) to build quality collaborative schedules.
Generates accurate course demand projections, helping on budget control.
Compliance with business rules, considering schedule quality criterias for professors and students.
Enables for collaborative work among areas, keeping control and centralization of information.
Permite simulaciones para generar el mínimo de grupos, optimizando la planta física y la disponibilidad docente.
Includes AI engines for supporting manual user decisions based on roles and permissions.
Establishes workflows for requesting and assigning physical facilities, extending them to the university community.
Simulates students' curriculum progress, generating robust course demand estimates.
It collaboratively communicates, validates and adjusts course demand estimates.
It automates the generation of schedules using algorithms to minimize the opening of groups, improving the quality of schedules.
It allows manual adjustment of schedules in a collaborative manner, with support of intelligent recommendation engines.
Streamlines and automates the management of quotas available for students in the enrollment process.
It extends to the university community the possibility of booking physical facilities for specific activities, providing
AI engines connected to user interface modules, integrated to the digital ecosystem.
Infrastructure designed to fully exploit the capabilities of cloud computing.
High availability enrollment service, managed and supported by Foris.
AWS Cloud Architects; partnership since 2017.
Please contact our team, to learn more about our solutions.