For academic directors, program managers, and coordinators who want to identify at-risk students, personalize interventions, and anticipate learning needs with artificial intelligence.
Improve Student Success →Your agents spend 70% of their time showing properties to people who are "just browsing." The result: burnout and mounting frustration.
4.2h per unqualified prospectYou survey lost prospects, but the answers are always vague: "Still looking," "Didn't find what we wanted." No clear pattern emerges.
11% average conversion rateYou treat every prospect equally, even though only 20% will ever sign. You're leaving tens of thousands of dollars on the table every month.
-$285K/yr in missed opportunitiesTestez notre simulateur spécialisé en 60 secondes et obtenez des recommandations adaptées aux réalités du secteur de l'éducation québécois.
Cortex Voice analyzes student feedback and identifies early disengagement signals. Your advisors can intervene at the right moment with the right actions.
Cortex analyzes course evaluations, instructor comments, and absences to identify struggling students before they drop out. You intervene 2–3 months earlier than before.
Cortex scores each student by risk level and recommends concrete actions. Your advisors know exactly who to contact today — and with which personalized message.
With targeted interventions based on real data, you reduce dropout by 30–40% and increase your government funding tied to student success outcomes.
From setup to your first student alerts, Cortex is up and running fast.
Send short surveys (3–5 questions) to your students via email or SMS. Cortex integrates with your existing tools (Omnivox, LÉA, and more).
The AI analyzes responses and identifies students showing signs of disengagement: rising absences, course frustration, social withdrawal.
Receive automatic alerts with recommended actions: contact the student, refer to an advisor, adjust the academic plan. Simple and actionable.
CEGEP Montérégie (fictitious name), a regional institution of 2,800 students, had a dropout rate of 18% — well above the provincial average of 12%.
Problem: Advisors discovered struggling students 6–8 weeks after the first warning signs — by then, it was already too late.
At-risk students never voluntarily asked for help. The only available indicators were:
By deploying Cortex Voice to collect bi-weekly student feedback (5 questions, 2 minutes), the CEGEP identified 3 early signals of imminent dropout:
Cortex automatically alerted advisors as soon as a student showed 2+ of these signals, enabling targeted interventions 4–6 weeks earlier.
From CEGEPs to universities, our clients use Cortex to improve student success and reduce dropout rates.
Identify at-risk students as early as their first semester and intervene before dropout occurs. Increase your graduation rate by 25–35%.
Analyze student satisfaction by program and faculty. Detect underperforming courses and continuously improve the academic experience.
Measure program-to-market alignment in real time. Adjust your curriculum based on actual needs expressed by your students.
Tailored operational intelligence for every sector. See how other industries maximize their results with Cortex.
Retain top talent, save $820K per year. Targeted retention, smarter hiring.
Serve 45% more citizens with the same resources. Optimized services, higher satisfaction.
Cut wait times by 40%, optimize bed capacity. Better care, maximum efficiency.
Join the CEGEPs, colleges, and universities using Cortex Voice to identify and support at-risk students before they leave.
At-risk student detection in real time — not 2 months later
Automatic alerts for your advisors with recommended actions
Measurable ROI: every student retained = $8K–$15K in preserved funding
See how Comulead can accelerate your growth in just 15 minutes.