Intelligent operations for the university

Explore the domains The platform

Colleges have to run more efficiently and adapt faster than their systems allow

Planning still runs on annual cycles and disconnected systems. Operating well takes a shared picture and a faster cycle.

Your model

1SeeEvery system and document in one model of the institution
2ActRoutine work runs automatically, and decisions stay with your staff
3MeasureResults tracked against goals, holdouts, and prior years
4ImproveForecasts and plans updated as results come in

Today, data sits in pieces, with no shared model and no fast way to act

The same student can appear in six systems, and much of the real work actually happens between them.

A unified model for driving outcomes that matter

CollegeVine models your entire institution so you can unify operations across systems.

The CollegeVine platform

One model of the institution, with everything built on it

Your systems feed one ontology of the institution, memory adds what your people know, and applications, agents, and workflows run on top.

The platform in detail

Every major operation of the university on one model

Grow enrollment and net tuition, and recruit more efficiently

Class forecast against goal and market

Student Lifecycle

Improve retention and transform student services

Each student’s risk and next step

Student Finance

Price aid for lifetime value and run aid and bursar services

Aid priced on lifetime value

Academic Operations

Offer the courses students need, at lower cost

Course demand from degree progress

Institutional Finance

Forecast cash and revenue, manage working capital and close faster

Daily cash and revenue forecast

Raise more and show donors what their gifts achieve

Restricted funds matched to students

Staff to the real workload and run HR services efficiently

Staffing matched to workload

Each domain strengthens the others

How we deploy

A defined path from first connection to measured results

ConnectYour systems, documents, and outside data

ValidateBacktested against your own history

DeployAgainst outcomes agreed with your team

ExpandTo the next domain, on the same model

Start with one domain, then expand on the same model

We scope the first domain with your team and agree on the outcomes to measure.

Talk to us How we deploy