Foris Suite is an AI-native platform for higher education operations in Latin America. It covers three critical areas of university management: academic planning and scheduling, course registration and student self-service, and retention management through predictive modeling of phenomena like dropout risk. Darwin - Academic Planning & Scheduling Darwin automates the full academic planning cycle, from enrollment demand projection to optimized schedule generation, reducing weeks of manual work to hours. Using proprietary optimization algorithms, Darwin assigns classrooms, time slots, and instructors simultaneously while satisfying hundreds of institutional constraints. Albus - Student Enrollment & Self-Service Albus gives students a unified self-service portal for course registration, academic progress tracking, finances, and scholarship management. Its AI recommendation engine generates a personalized schedule proposal for each student based on their curriculum progress, pending requirements, and personal preferences. Stella - Student Success & Retention Stella uses institution-specific machine learning and student characterization algorithms to model any measurable student phenomenon, such as dropout risk, academic underperformance, or payment probability, detecting at-risk students early and equipping advising teams with actionable risk profiles and intervention workflows. Core Services - Data, Integration & Platform Infrastructure Underlying all three portals is a shared layer of Core Services: a unified academic data repository, centralized financial management, identity and access control, and a data platform with pipelines, lakehouse, and analytics. This shared foundation ensures that student, academic, and financial data flows consistently across the entire suite. No silos, no manual synchronization between systems. A configurable rules engine and a no-code workflow platform let institutions automate complex academic policies without custom development. Algorithms & Agent Platform A unified platform that combines proprietary optimization algorithms, machine learning models, and LLM-powered agents to solve complex academic operations. It enables institutions to automate decision-making, optimize planning scenarios, and execute intelligent workflows through natural language, with full transparency and human-in-the-loop control. Built on AWS, multi-tenant, and SaaS-delivered. 15 years building AI for higher education in Latin America.