One system for the whole university
EAMS — UIMS internally — runs admissions, course registration, grading, graduation and finance on a single student record, and gives every student an AI advisor that knows their curriculum. Built to replace the legacy systems universities here are still running.
The legacy system is the bottleneck
Most universities here run software written a decade or more ago by people who have since moved on.
Nobody can change it
Built on a framework past end-of-life, with no one left who maintains it. Every new regulation becomes a manual workaround.
The data can't be trusted
No foreign keys, no audit trail. When a mark changes, nobody can say who changed it or when.
Students ask people, not software
Which credits am I missing, when do I graduate — questions the data can already answer, asked instead of an advisor with hundreds of other students.
Rules live in people's heads
Prerequisites, attendance thresholds, payment holds — enforced inconsistently, because they're enforced by hand.
Six modules, one student record
Every rule enforced in one place, every change audited
Admissions
An applicant pipeline with a real state machine and history: language-test enforcement, preparatory placement, and conversion to student without re-entering anything.
Registration
Three registration windows, role gates for the registrar, prerequisite enforcement, credit-hour caps, financial holds, and forced repeats at term close.
Grading
Per-course assessment schemes — weighted components, final-exam minimums, makeup rules, attendance-based exam eligibility, letter conversion. Computed in one place, not once per faculty.
Curriculum
Program plans by study year, and a prerequisite graph the registrar edits directly, with impossible cycles rejected on save.
Finance
Tuition contracts, installments and payments, with the clearance rule that blocks registration applied as a rule — not a phone call.
Audit & roles
A database-level log of who changed which mark and when, with permission sets you edit per role instead of per person.
Every student gets an advisor who knows their curriculum
The system already knows what each course unlocks, which credits are missing, and how far a student is from graduating. The advisor turns that into an answer, in Kyrgyz, Russian or English. The arithmetic stays in the system where it's tested — the AI explains the result.
Answers come from the student's own record, not a chatbot guessing from a handbook. Official decisions — graduation eligibility, prerequisite waivers — stay with the registrar.
Your data moves first, not last
No university switches systems over a weekend. The old data comes across before anything changes.
Import
Your legacy database is loaded as it stands. Nothing dropped, nothing cleaned up in secret.
Transform
Rebuilt into the new model, repeatably. Every orphaned record is listed in an audit table instead of silently disappearing.
Recompute
Grades are recomputed with your own rules and compared against the legacy marks, so every difference is found before a student sees it.
Run in parallel
The new system runs beside the old one for a full term, then becomes the system of record.
Let's look at what you're running
Tell us what your university uses today and we'll tell you honestly what the migration involves.
Or email us directly at
info@data-bil.com