Academic integrity built for how writing actually happens.
LoomaEdu helps faculty review student writing through live behavioral signals, explainable AI detection, and polished reporting that makes every decision easier to stand behind.
Integrity Review
Faculty-ready signal summary
ENG 204 / Midterm Essay
Behavioral review complete
High-confidence signal cluster paired with documented revision timestamps and exportable context for follow-up.
Used by individual professors, writing programs, and campus integrity teams that need cleaner review workflows.
Trusted by a few thousand professors nationwide, including faculty at
Proof that scales
Stronger social proof for a product faculty already trust.
The story is not just that Looma detects AI. It is that professors can use it confidently, at scale, without turning every review into a manual investigation.
Active across writing-intensive courses, capstones, and academic integrity programs.
Behavioral monitoring and AI analysis combine into a clearer signal for faculty review.
Designed to reduce noisy flags so instructors can focus on the cases that matter.
Fast enough for live classroom use, office-hour follow-up, or end-of-term sweeps.
Why teams choose Looma
A cleaner experience for faculty, departments, and academic integrity offices.
The front page should reflect what Looma actually offers now: clear trust signals, strong reporting, and an institutional product that feels serious.
See the writing process, not just the final page
Looma monitors drafting behavior, paste events, revision patterns, and timing signals that static detectors miss.
Generate reports faculty can actually defend
Each review packet turns raw signals into a concise explanation with clear context for course staff and administrators.
Roll out with institution-ready guardrails
From single professors to campus teams, Looma fits the workflows colleges need for consistent academic integrity decisions.
How it works
Real-time monitoring translated into a review flow professors can use.
Capture authentic writing behavior
Students draft in a monitored environment where Looma records cadence, pauses, revision flow, and paste activity in real time.
Combine signals into a clearer risk picture
Behavioral data is paired with linguistic analysis so suspicious submissions stand out without overwhelming faculty with noise.
Hand instructors a polished review packet
Faculty get a concise summary, signal breakdown, and next-step context they can use in classroom or institutional follow-up.
Ready to update the story
Make the homepage feel like the institution-ready product Looma has become.
If a professor lands here, the page should immediately communicate trust, clarity, and nationwide adoption. That is the frame this version now uses.