Admissions Decision Software
Admissions Intelligence for Counselors & Schools
College admissions decision software for counselors and schools. Instead of estimating one school at a time, it analyses a student’s entire application portfolio — the list, the Early Decision choice, and the institution-specific factors behind each — as one set of connected decisions.
The system is currently a research-based prototype, developed out of Nadia Moore Academic Advisory’s own four-year advisory practice. Read more about the admissions software for counselors and schools, our quantitative methodology, and our admissions research.
Most admissions tools answer: “What are this student’s chances at this college?”
We answer: “How should this student’s entire application portfolio be constructed?”
Admissions data is fragmented across public disclosures, common data sets, and institutional reporting, and it is almost always consumed one school at a time. But a student applies as a portfolio: the schools, the Early Decision choice, and the balance of reach and likely admits interact with one another. Treating that as a single decision problem is the premise of everything we build.
The Platform
See the model in action
Simulate an entire application portfolio, evaluate school-specific factors, and optimize strategic decisions such as Early Decision.
Prototype interface. Live product walkthrough available on request.
Request a DemoModel Status
Current model: research-based prototype. Production roadmap: calibration using anonymized application and outcome data from participating institutions.
Three layers of admissions intelligence
Each layer is described in more detail on the page for counselors and schools, alongside what the prototype does today and what institution-specific calibration would add.
01
Portfolio Optimization
Simulate outcomes across an entire college application list rather than evaluating schools independently.
02
Early Decision Optimization
Identify where a student's binding Early Decision application creates the greatest portfolio-level advantage.
03
Institutional Factors
Model the interaction between a student's profile and institution-specific characteristics rather than relying solely on headline acceptance rates.
Data Roadmap
Built to become institution-specific
- 01Public admissions data
- 02Baseline model
- 03School / IEC historical outcomes
- 04Institution-specific calibration
- 05Better decision support
Today’s model uses public admissions data and research-based priors. The production architecture is designed to calibrate models on anonymized student → application → outcome data contributed by participating schools and IECs. The current system is a research-based prototype, not a validated production model.
The reasoning behind each modeling layer is set out in our methodology and prototype overview, and the underlying admissions research we publish sits in Admissions Intelligence.
Who it is for
Primary
Counselors & Schools
Use admissions intelligence to make portfolio, Early Decision, and student-strategy decisions.
Request a DemoAdvisory Practice
Students & Families
Looking for individualized four-year admissions strategy?
Learn About AdvisoryAbout
Where the software came from
Nadia Moore Academic Advisory began, and continues to operate, as a selective four-year academic and admissions advisory for families in Winston-Salem, North Carolina. That practice is where the software came from. Building four-year plans one family at a time surfaced the same recurring problem: the decisions that mattered most — which schools belong on a list together, where the binding Early Decision application should go, how a student’s profile interacts with a specific institution’s priorities — were being made from fragmented public data and professional intuition, one school at a time.
The quantitative decision-support system was built internally to structure that work. It is now being developed into software for independent educational consultants and schools. The family advisory practice remains the originating operating practice and the environment in which the modeling work is exercised.
The platform is built and led by founder Aidan Romeo.
Help us build the next generation of admissions decision software.
We are currently seeking a small number of counselors and educational organizations to stress-test the platform and shape institution-specific models.
Request a Demo