Do you support LMS integrations like Canvas or Moodle?

You can review submissions exported from your LMS today. Deeper integrations are on the roadmap, contact us about your program’s setup and volume.

Can students see their own scan results?

Reports are private to the account that ran them and are never public unless shared. How results are disclosed to students is a process decision your institution controls.

Can we run all submissions through automatically?

High-volume screening is best arranged with us directly, contact us about your program. We’d pair any automated screening with human review: a score should never trigger an automatic finding.

For universitys

For universities operating responsibly on AI-assisted assignments

A program-level posture, not a unilateral cudgel for individual instructors.

An academic-integrity posture can’t rest on one instructor’s hunch. Detecto gives a program a consistent, evidence-based read on AI-assisted work, a likelihood and the signals behind it, so decisions follow a documented process instead of a unilateral call.

See sample report How calibration works

Built for the people who review other people’s content

Editors at independent magazines
University writing centers
Newsroom verification desks
PR review teams
Content QA leads at agencies

What you review

What universitys typically scan with Detecto.

Course-level submissions across an LMS export
Capstone projects and theses
Application materials at admissions
Writing-center referrals from instructors

What’s at risk

The failure modes Detecto is built to surface.

Inconsistent, instructor-by-instructor handling of AI use
A finding made on suspicion, with no evidence to support it
A wrongful accusation that a fair process would have caught
Sensitive student work handled in tools the institution can’t account for

Where Detecto fits

The workflow, end to end.

Five steps. None of them is automated.

01
Submit course work, capstones, or admissions materials.
02
Read the score and confidence band as one input among several.
03
Open the highlighted view to ground any concern in specific passages.
04
Route flagged cases into your existing integrity process, with a human.
05
Retain the report as a consistent record across the program.

What the report gives you

Evidence that goes in the file.

A 0–100 AI-likelihood with a High / Medium / Low confidence band.

Sentence-level signals that show the basis for any concern.

A private, timestamped record that supports a defensible, repeatable process.

What not to do with AI detection

The same posture every Detecto reviewer reads. The score is evidence, not a verdict.

Don’t let the score substitute for your integrity process or a hearing.
Don’t act on a result without giving the student the evidence and a chance to respond.
Don’t deploy detection as surveillance, it’s a review aid, not a dragnet.
Don’t read confidence bands as certainty in either direction.

All four modalities