See how institutions like yours are using AI to transform research, operations, and the student experience — with Curricu.me as their partner.
This client wanted to enable AI for all of their users but was prohibited because of the high monthly costs, lock-in, and loss of control.
Curricu.me leveraged open source tools with usage-based pricing to enable AI for all of their users, with an administration interface on top to manage usage and budgets.
The administration was able to deploy quickly with guardrails, a predictable cost model, no vendor lock-in, and flexibility to adjust as the AI landscape evolves.
A large community college system needed to evaluate incoming students and place them at the right academic level to give them the best chance of success and retention.
Incoming students have complex credentials and a wide range of prior learning experiences, and the college was not able to do this manually so students would self-place based on their own knowledge and assumptions. This self-placement process was error-prone and led to student dissatisfaction.
Curricu.me developed an automated wizard with rubric-based scoring that evaluated students' prior learning and suggested an appropriate academic level for them in real time.
An consultancy conducts hundreds of interviews with ex-customers to determine why they did or did not choose a particular institution. Manually reviewing transcripts, tagging themes, and synthesizing findings across dozens of clients was consuming their analysts' time and delaying reports to clients.
Curricu.me built a custom application that ingests interview recordings and transcripts, extracts every question and response, and identifies recurring themes — from financial-aid concerns and campus-visit impressions to academic-program fit and peer influence.
The platform generates executive-ready insight reports in minutes instead of weeks, highlighting exactly where each institution is winning hearts and where prospective students are slipping away — giving enrollment teams a clear, data-driven playbook for improving yield.
This client was performing a meta-analysis that required review and structured analysis of thousands of scientific journal articles.
Articles needed to be converted from various formats into AI-readable text, and then analyzed. In order to ensure the analysis was accurate, AI was compared against human review until the AI met human accuracy.
Curricu.me developed a reusable custom application for this over a matter of days that automated the process, for a task that would have been difficult to impossible for a small research team.