§ Suite · ServicesFive tools · one workspace
What Illuma actually does.
Each service is one instrument. Pick the tab to see the tool, how it works, and what makes it different.
Manage your saved list like a sheet: swap schools, set ED, edit fit notes, jump into supplements.
Output includes
- Tier assignment using top-30 ML prediction
- Per-school fit + risk notes
- ED / EA strategy recommendation
- Autofill admit %, SAT policy, and supplements
Under the hood
ML models + calibration layers, not a ChatGPT wrapper.
1
Admit-probability regression (per school, per round)
Trained on top-30 cycle outcomes, returns RD, ED, and EA probabilities calibrated to CDS.
2
Profile-score rubric
Initiative, EC impact, and spike domain scored 0 to 100, fed back into the regression.
3
Mechanical tier assignment
Reach, Match, and Safety derived from ML probability plus the school's 25th and 75th percentile bands.
4
Counselor-curated archetype guidance
Pool-pattern guidance matched by archetype and injected as context, not improvised.
5
ED-leverage scoring
Ratio of ED to RD probability flags ED candidates above 2x and ED-redundant below 1.5x.
Ready to try it?
First eval free. No credit card required to sign up.