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AI Detection built for real classrooms

We analyze how work was written—not just what it says. By combining revision history with machine learning, we flag likely AI use while boosting student confidence in authentic writing.

Fair & Transparent

Reports show what signals were used—so teachers can review, explain, and appeal with context.

Authenticity First

Patterns from real drafting—typing cadence, edits, and revisions—support students’ own voice.

Actionable at Scale

Classroom and district views surface outliers so you can focus support where it matters.

How our AI detection works

Multi-signal analysis designed for learning—rooted in revision history and classroom reality.

01Setup

Secure document intake

We ingest the assignment only when the teacher enables Checkmark. Access is scoped and logged.

02Evidence

Revision history signals

We examine edits, drafting order, and iteration cadence from the document’s revision history.

03Analysis

Behavior-aware modeling

Machine learning considers human-like drafting patterns versus sudden, copy-pasted blocks.

04Review

Confidence & explanations

Clear highlights, rationales, and confidence ranges help teachers review and coach with context.

Confidence for students

We emphasize authentic effort. When a draft shows steady iteration and self-editing, reports reflect that—encouraging growth instead of fear of false flags.

  • Signals that reward revision and feedback cycles
  • Language that explains findings, not accuses
  • Privacy-first processing and scoped access

Clarity for teachers

Detailed context—where, when, and how a draft changed—helps teachers discuss integrity while keeping learning at the center.

  • Transparent rationale and confidence ranges
  • Drill-down to revision events and content blocks
  • Class and district trends to target support

Privacy & fairness by design

Do you train models on student work?

No. We do not use student submissions to train general models. Signals are computed for integrity detection and reporting only.

What about false positives?

Our approach prioritizes revision-based evidence and provides explanations. Teachers can review and override with full context.

Which platforms are supported?

Google Classroom™ and Canvas LMS, with more integrations on the way. Setup is quick and scoped to enabled assignments.

How do students benefit?

Students see that drafting, revising, and citing sources are recognized as authentic effort—building confidence in their own voice.

Protect integrity. Grow confidence.

Bring AI detection, plagiarism checks, and auto-grading into the tools you already use.