Milo for higher education

Frontier intelligence for students.
Pedagogical control for professors.

Students already take questions to AI instead of office hours. Milo gives them experience with frontier tools and shows professors where the class is stuck via aggregated reports and dashboards.

Built first for undergraduate and graduate computer science and engineering courses.

CS 40 Faculty view
Last 7 days
Faculty brief

Where students get stuck

Updated today
Questions 268 Across student conversations
Homework 3 questions 61% Locality: 2.4× Homework 2
Recurring clusters 18 Across course concepts
Top question clusters Share of questions
90° rotation locality45%
Block-major mapping31%
UArray2b indexing16%
Timing experiments8%
Office-hours blind spot Homework 3 · Image rotation
47 AI sessions 12 live-help requests
Guidance is active for this topic

Illustrative faculty view

For students

The tools students already choose. Connected to the course.

Milo starts with the open-ended chat interface students already understand. They work directly with frontier models, files, course materials, and pasted code. An integrated coding harness is coming next.

  • Frontier models for explanation, research, and problem-solving
  • Your syllabus, lectures, and assignments in context
  • Files and pasted code in the same conversation
  • Integrated coding harness coming next
HW3 rotation helpCourse guidance on
Model ▾
Why is rotate-90 slower than rotate-180 in my ppmtrans timings?
m

With row-major arrays, a 90° rotation can turn sequential access into strided writes. A 180° rotation can preserve longer sequential runs, so it often causes fewer cache misses.

Professor guidance · HW3 image rotation

I can explain the pattern or help inspect your code. I will not write the complete assigned function.

Inspect my code Explain locality Get live help
Ask about your course, upload a file, or paste code…

For professors

See the questions that never reach office hours.

Students still ask for help. They now ask AI. Milo turns those private conversations into course-level signals that professors can act on.

Recover the missing signal

See which concepts produce repeated questions, even when office hours stay quiet.

See class patterns

Find changes in question volume and confusion without reading private conversations.

Intervene selectively

Add hints or a live-help path only where an assignment needs them.

Private conversations. Useful patterns.

Professors see aggregated trends across the class. They see an individual transcript only when a student shares it.

  • Private by default. Student transcripts stay out of the professor view.
  • No training on pilot conversations. Each institution sets its retention period before students join.
  • Not an AI detector. Milo supports teaching. It does not assign misconduct scores.

Start with one course

Run Milo for four weeks.

Students get general-purpose AI tools with course context. Professors get a weekly brief on where the class is stuck. After four weeks, Acyclic reviews the results and next steps with you.

Request a 4-week course pilot