Smarter Student Enrollment
Planning Starts with AI
Smarter Student Enrollment Planning Starts with AI
Simulate future enrollment trends using machine learning and data,
inputs tailored to your district.
Move Beyond Spreadsheets. Plan for What's Next.
Traditional approaches like the Cohort-Survival Method fall short in today’s dynamic K–12 landscape. School choice, charter growth, and shifting demographics demand a smarter approach.
Our AI-powered models simulate complex enrollment scenarios to help you make better decisions—today and five years from now.
Why Districts Are Moving Past the Cohort-Survival Method
| Features | Cohort-Survival Method | AI & Machine Learning Models |
|---|---|---|
|
Data Inputs |
Limited to historical trends |
Expands to student choice, census, school performance & building permits |
|
Flexibility |
Static, assumes past patterns repeat |
Dynamic. Adapts to new variables |
|
Planning Scope |
Facilities-focused (seats & buildings) |
Extends to staffing, services, transportation & student outcomes |
|
Simulation Capacity |
Limited |
Foundation for modeling the impact of decisions and policy changes |
Predict
Estimate future enrollment shifts based on student detail, demographic trends, and policy changes.
Identify
Discover patterns in student choice, retention, and mobility to help districts make data-driven decisions.
Simulate
Model the impact of redistricting, charter growth, staffing changes, and retention strategies before making decisions.
Our model layers insights across community trends, campus impacts, program demand, and resource allocation.
AI-Powered
Planning in
3 Steps
Step 1
Your Data
Combine student data, housing permits, census trends, and historical context
Step 2
More Models
Use ensemble machine learning models to simulate school-specific enrollment shifts
Step 3
Tailored Insights
Visualize how changes affect staffing, student services, and transportation