01
build the base
Enter application information
Capture grades, activities, interests, and goals in one profile used by every later decision.
Admissions shouldn't remainan information war
The problem is not a lack of information. It is the lack of a system that can compare, explain, and move the next decision forward. Lumni turns the application into one clear workflow.
AI Copilot
MIT EECS
Reach14%
CMU CS
Reach22%
Quickly generate a first admissions route
Move schools, essays, and timelines together
Keep the final call on the decisions that matter
Calibrated against officially published admit rates — every prediction explained
Application data kept current · Every conclusion explained
Published data, real cases, and explainable predictions
Kept current
School and application data
Multi-source
Published information and rankings
Sources shown
Cases and admissions information
No black box
Basis and limitations explained
MITStanfordHarvardPrincetonYaleColumbiaCaltechUChicagoUPennCornellBrownDukeJHUNorthwesternUCLAMITStanfordHarvardPrincetonYaleColumbiaCaltechUChicagoUPennCornellBrownDukeJHUNorthwesternUCLA
A six-step application workflow
From entering your profile to making the final call
Build the profile, choose schools, understand strategy, and compare the full plan. Each step produces a clear result without forcing you across scattered sources.
- 02two school-list paths
DIY search / AI-assisted shortlist
Research schools yourself or let AI shape reach, match, and safety options from the profile.
- 03strategy
Understand the application plan
See how rounds, program fit, materials, and profile gaps change what should happen next.
- 04side-by-side comparison
Optimize the application mix
Compare schools, majors, cost, probability, and workload before adjusting the overall list.
- 05explore together
Playful tools and community culture
Use assessments, chat, teams, and the message board to find ideas and talk with applicants on a similar path.
- 06coming next
Unannounced capability
A new application capability is in progress. Until launch, the workflow keeps the clue without inventing a promise.
Move through the workflow yourself or call on AI guidance and community collaboration when useful. Irreversible final decisions always remain yours.
An AI-native admissions workbench
Six capabilities, designed to behave like one system
Not a pile of tools. One coordinated workflow for school strategy, essays, planning, prediction, collaboration, and expert judgment.
Lumni community board
Every application question has someone working through it.
From conversations and school lists to predictions, essays, and timelines, see how applicants turn uncertainty into the next action.
Method over marketing
Trust what you can verify.
No borrowed numbers, no invented stories. Here is how the engine actually earns your trust.
Anchored to published data
Probability calibration is anchored to each school's officially published admit rates — not forum folklore or consultant instinct.
Ranges, not verdicts
Every prediction ships as a probability band with its reasons and uncertainty spelled out. When the data is too thin, we say so instead of guessing.
AI does the legwork, humans own the calls
Lists, essays, and timelines move faster with AI — while the irreversible decisions stay with human judgment.
Every number has a source
School data carries provenance: rankings from five global systems, admissions figures traceable to where they were published.
