Now in private beta · 12 universities

8 weeks of foresight, not hindsight.

Cohort.ai turns your LMS data into early-warning insights. Used by 47 program directors across 12 universities to lift completion rates by an average of 23%.

Trusted by program directors at Northridge College, Oakhaven University, St. Mary's Polytechnic, and 9 others.
app.cohort.ai / programs / cs-undergrad / fall-26
Computer Science · Fall 2026
Cohort risk overview
12w8w4w
Students
0
enrolled
At-risk
0
7.6% of cohort
Precision
0%
at 8 weeks
Lift
+0%
completion
10080604020W0W2W4W6W8W10W12risk threshold
S-241892
S-310488
S-187681
Updated 4 min ago · 184 students
Trusted by student-success teams at
NRCNorthridge College
OHUOakhaven University
SMPSt. Mary's Polytechnic
CBSCedarbrook State
LWILinwood Institute
WGCWestgate College
The gap

Most early-warning systems fire after the student has already disengaged.

Spreadsheets and gradebook exports tell you what happened — never what's about to.

What it does

One model. The whole intervention loop.

Predict at-risk students

ML model trained on 80,000+ student trajectories.

87% precision at 8 weeks out. Per-student risk scores update nightly from your LMS.

LMS-native

One-click connectors to Canvas, Moodle, Blackboard.

CanvasMoodleBlackboardD2L
Intervention playbooks

Auto-suggest the right outreach for each risk pattern.

✓Email check-in
✓Advisor 1:1
Tutor referral
Faculty dashboard

Each instructor sees their cohort. Anonymized IDs only.

S-241892
S-310481
S-187664
FERPA-compliant

On-prem deployment available. SOC 2 in progress.

FERPASOC 2GDPR
See it in action

Watch one cohort, six weeks of signals.

Scroll through the timeline. The model flags three students before midterms.

app.cohort.ai / programs / cs-undergrad / fall-26
Computer Science · Fall 2026
Cohort risk overview
12w8w4w
Students
0
enrolled
At-risk
0
7.6% of cohort
Precision
0%
at 8 weeks
Lift
+0%
completion
10080604020W0W2W4W6W8W10W12risk threshold
S-241892
S-310488
S-187681
Updated 4 min ago · 184 students
Week 2
Login frequency drops 40%
Three students show a sharp decline in LMS sessions vs. their semester baseline.
Week 4
Submissions running late
Two of those three students miss two consecutive assignment deadlines.
Week 6
Risk threshold crossed — alert sent
Cohort.ai flags the cohort to the advisor. 8 weeks before midterm withdrawal.

“We caught 14 at-risk seniors in our Computer Science cohort 6 weeks before midterms. 11 of them finished the program. Cohort.ai saw what our gradebook couldn't.”

AK
Dr. Anjali Krishnamurthy
Director of Student Success, Northridge College

See your cohort's risk picture in 20 minutes.

Free demo. Bring your data, or use ours.

© 2026 Cohort.ai · Spec demo by Kumaravel · All rights reserved.
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