Omniscol transforms academic scheduling by embedding artificial intelligence directly into your browser. Our advanced technology helps you build and optimize timetables quickly, reliably and effortlessly.
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Omniscol leverages AI across three key stages of scheduling:
✅ Before scheduling: Instantly find the best time slot, ideal room or available substitute teacher.
⚠️ After scheduling: Detect conflicts and adjust your timetables effortlessly.
🚀 During automatic generation: Our optimized engine schedules all lessons while respecting your constraints.
Placing or moving a lesson? Omniscol guides you with an intuitive color-coded system based on detected conflicts:✅ Green: Everything is valid.
🟡 Yellow: Minor adjustment may be needed (e.g., room change).
🟧 Orange: Important constraint detected — review required (e.g., travel time between campuses, incompatible consecutive subjects).
🔴 Red: Impossible (e.g., teacher unavailable, class already scheduled). You can still override if necessary.
🔍 Instantly visualize valid options and schedule with confidence.
Need a teacher, room or equipment for a lesson? Omniscol analyzes all available options in real time and suggests the best match.
📊 Availability: Who is free at this time?
✅ Compliance: Room capacity and type, lesson requirements, teacher subject expertise.
📈 Optimization: Smart suggestions based on the overall timetable structure.
🔄 Save valuable time by instantly identifying the optimal solution.
Omniscol continuously monitors your timetable and flags potential issues as soon as they appear.
🕵️ Automatic analysis: Detect issues instantly and adjust effortlessly.
👨🚒 Flexible control: If you override a constraint, Omniscol keeps you informed while preserving full control.
🚨 Clear and interactive alerts: Identify issues at a glance with both a global overview and detailed inspection tools. Each affected lesson is highlighted directly within the timetable for fast correction.
Omniscol supports a wide range of constraints and performs deep structural analysis. It can even detect lessons without an assigned teacher or the absence of any qualified teacher for a subject at a given time slot.
🎛️ You stay in control while benefiting from proactive intelligent assistance.
Real-world examples:
🏫 Mid-size secondary school (16 classes, 27 rooms, 549 lessons): 1 minute.
🎓 Higher-education institution (13 cohorts, 9 rooms, 83 lessons): 10 seconds.
🌍 Large institution (80 classes, 60 rooms, 2000 lessons): 4 minutes.
The engine adapts to your priorities:
⏰ Minimize idle periods.
🔄 Distribute or compress teaching hours.
⚫ Include or ignore room constraints.
⏲️ Enforce minimum or maximum daily presence.
🏫 Weekly timetable: Recurring weekly structure, common in K–12 education.
🔢 Cycle-based timetable: Recurring lessons over a custom day cycle (e.g., 10-day cycle), common in North America.
📆 Calendar-based timetable: Date-specific scheduling, typical in higher education and training institutions.
If no complete solution exists, Omniscol automatically generates the best achievable partial timetable and provides a clear diagnostic report.
🔄 Optimize with confidence using a responsive AI built around your constraints.
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