Kairos
Constraint-based timetable optimization platform
Constraint-based timetable optimization for educational institutions, modeling complex academic scheduling problems into high-performance decision algorithms.
Platform Architecture
Kairos models complex academic scheduling constraints into high-performance CP-SAT decision engines using mathematical optimization frameworks like Google OR-Tools.
Core Capabilities: Multi-variable resource matching (teachers, classrooms, student groups), hard & soft constraint weighting, collision elimination, and automated schedule balance.
Kairos v0.2.1 is currently in active development. A research paper documenting the system and its constraint optimization architecture is in progress.
We are currently preparing the research paper behind Kairos and its constraint solving architecture. The publication will be released soon.
Request Private Access
We are opening private testing slots for educational administrators, scheduling officers, and academic institutions interested in trying Kairos v0.2.1.
Are you bored?
We probably shouldn't have built this.