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Education Solution

Defend Academic Integrity Without Guesswork

A growing share of student submissions now include AI-written passages that are fluent enough to pass a human read-through. Aiscern's 8-model ensemble flags AI-written assignments with a sub-3% false-positive rate and a sentence-level report educators can act on.

No credit card required · Free tier always available

≥94%
Ensemble AUC
<3%
False Positive Rate
99.9%
API Uptime

AI Essays Are Hard to Spot by Eye

The AI content problem is getting harder to solve. Here's what professionals in education face every day.

Two student essays side by side on a desk, one messy and handwritten-style, one uniformly polished, illustrating the detection challenge

ChatGPT rewrites are undetectable by eye

Modern AI-generated text is fluent, coherent, and stylistically diverse. Human graders cannot reliably distinguish AI work from genuine student writing.

Single-model detectors have high false-positive rates

Tools that rely on one model flag innocent students. Aiscern uses an ensemble to reduce false positives below 3%.

Students are evading detection with paraphrasing tools

Light paraphrasing fools simpler detectors. Aiscern analyzes linguistic fingerprints that survive paraphrasing.

No audit trail for grade appeals

Instructors need a defensible, documented record. Aiscern provides forensic reports exportable for disciplinary proceedings.

How It Fits Your Workflow

1

Upload Assignment

Import essays individually or as a class-set batch from your LMS export.

2

Run Ensemble Scan

8 models analyze perplexity, burstiness, and phrase-level fingerprints.

3

Export Forensic Report

Download a sentence-level PDF with scan ID and timestamp for grade appeals.

How Aiscern Solves It

Our ensemble-based detection pipeline combines 8+ specialized models with a confidence threshold system.Learn about our methodology →

Ensemble Detection

Combines RoBERTa, Binoculars perplexity analysis, and Gemini for ≥94% ensemble AUC across student writing datasets.

Sentence-Level Highlights

Color-coded heatmap shows which sentences are AI-likely — not just an overall score.

Confidence Scoring

Confidence threshold system: ≥62% = AI, ≤38% = Human, middle zone = uncertain. Designed for defensible academic decisions.

Batch Processing

Upload entire class sets at once. Process 50+ documents simultaneously with a Pro or Team plan.

Export & Evidence

PDF forensic reports include scan ID, timestamp, model breakdown, and per-sentence scores for grade appeals.

Multi-Language Support

Detection works across English, Spanish, French, German, and more — covering international student submissions.

ℹ️ Accuracy varies by content type and model generation date. Results are probabilistic — use alongside human judgment.See full benchmarks →

Real-World Use Cases

01

Essay & Assignment Verification

Challenge

A professor notices unusually uniform prose across a class-set of 30 essays.

Action

She uploads the batch to Aiscern and reviews the per-sentence heatmap for each flagged submission.

4 essays flagged high-confidence — evidence exported for academic integrity review
02

Research Paper Pre-Screening

Challenge

A graduate school needs to screen theses before defense without adding reviewer workload.

Action

The API is wired into the submission portal, scanning every thesis automatically on upload.

Results attached to institutional review file — zero added reviewer time
03

Writing Practice Auditing

Challenge

An online tutoring platform wants students practicing genuine writing, not outsourcing to AI.

Action

Submitted writing samples are scanned before feedback is generated.

Tutors flagged on submissions scoring above the uncertainty threshold

How Aiscern Compares to Turnitin AI Detection

FeatureAiscernTurnitin AI Detection
Detection approach8-model ensembleSingle proprietary model
Sentence-level heatmap
Confidence uncertainty zone
Standalone (no LMS lock-in required)
Free tier available
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[CUSTOMER NAME][ROLE], [COMPANY]
[METRIC]
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Frequently Asked Questions

Can Aiscern detect AI text that has been paraphrased?

Yes. Our ensemble analyzes perplexity patterns, burstiness, and phrase-level fingerprints that survive light paraphrasing. Heavily rewritten content may reduce confidence, and we report this honestly in the uncertainty zone rather than making false claims.

What happens if a student claims a false positive?

We recommend never acting on a single tool result alone. Aiscern provides per-sentence breakdowns and confidence scores so instructors can make informed decisions. Use our forensic report alongside other evidence in any academic integrity proceedings.

Can I integrate Aiscern with my LMS (Canvas, Moodle, Blackboard)?

API access is available on Pro and Team plans. You can call our detection endpoint from any LMS that supports webhook integrations or custom plugins. Documentation is at /docs/api.

Does Aiscern store student submissions?

We follow a strict data minimization policy. Scan content is processed ephemerally and not stored beyond the session unless you explicitly save a report. See our /transparency page for full details.

What languages are supported?

English detection has the highest accuracy. We support Spanish, French, German, Portuguese, and several other European languages with slightly reduced accuracy. Non-Latin scripts are in development.

Ready to detect AI content in education?

Start with a free account — no credit card, no commitment. Upgrade when you need more scans.