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Academic Integrity

AI Detection for Universities

Uphold academic standards with accurate AI detection for higher education. Support fair assessment while respecting student privacy and accommodating diverse writing backgrounds.

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Protecting Academic Integrity

Support honest scholarship without compromising on fairness or privacy.

Protect Research Quality

Ensure that theses, dissertations, and published research reflect genuine scholarly work. Detect AI-generated passages that undermine academic rigor.

Fair for International Students

Our multi-model approach reduces bias against non-native English speakers. Sentence-level analysis lets educators distinguish between AI patterns and ESL writing characteristics.

Privacy-Focused Design

Student submissions are not stored permanently and are never used for training. Signed-in users keep a scan history they can delete at any time.

Sentence-Level Analysis

Go beyond binary verdicts. See which specific sentences are likely AI-generated, enabling informed conversations with students about their work.

Built for Long-Form Academic Work

Theses, dissertations and research papers give the models the most to work with. Longer submissions produce more reliable verdicts than short-answer work.

Scalable for Institutions

Handle peak submission periods like finals week without slowdowns. Built to scale from individual courses to institution-wide deployment.

LMS & Platform Integration

Works with the tools your institution already uses.

1

Learning Management Systems

Canvas, Moodle and Blackboard each expose an API, and ours adapts to them, so submissions can be checked inside the grading workflow you already use.

2

Chrome Extension

Select text on any web page and check it instantly. Ideal for reviewing online submissions, discussion posts, and email correspondence.

3

REST API

Build custom integrations with your institution's systems. Automate checks on submission upload or embed analysis into proprietary academic tools.

Across Every Department

AI detection tailored to the unique needs of different academic functions.

Admissions

Screen application essays and personal statements for AI-generated content. Ensure the admissions process evaluates genuine student voice.

Classroom & Assessment

Give instructors a reliable tool for reviewing essays, reports, and homework. Support academic integrity policies with evidence-based analysis.

Research & Graduate Programs

Verify the authenticity of research proposals, literature reviews, and thesis chapters. Maintain the credibility of your institution's published work.

Administration & Policy

Provide academic integrity offices with consistent, scalable tools for investigating potential AI misuse across the institution.

Frequently Asked Questions

Plagiarism detectors compare text against existing sources. AI detection analyzes writing patterns to determine whether text was likely generated by an AI model. The two tools are complementary, not interchangeable.

Our multi-model ensemble is designed to reduce false positives across diverse writing styles. Sentence-level results let instructors see exactly which passages triggered detection, enabling nuanced evaluation rather than blanket judgments.

No. Submitted text is not stored permanently and is never used for model training. Signed-in users keep a scan history they can delete at any time. Check with your own compliance team before routing student work to any external service.

Yes. When students use AI for ideation but write the final text themselves, the submitted work reflects human writing patterns. Our tool detects AI-generated prose, not AI-informed thinking.

We offer a REST API that can be connected to Canvas, Moodle, Blackboard, and other platforms. Our documentation includes integration guides for the most common LMS systems.

AI detection results should be one piece of evidence in an academic integrity review, not the sole basis for a decision. Sentence-level analysis helps facilitate productive conversations with students about specific passages.

Yes. While longer texts generally produce more reliable results, our models can analyze shorter passages such as discussion forum posts, short-answer responses, and reflection journals.

Our ensemble approach is designed to detect common evasion techniques including light paraphrasing. However, no detection tool can guarantee identification of all AI-generated text, especially heavily edited content.

English only. Our models are trained and benchmarked on English prose, and we do not make accuracy claims for other languages until we have tested them properly. Submissions in another language should not be assessed with our checker.

Nothing at the moment. Everything is free to try, with no paid plans. Institution-wide rollout and bulk review are built as custom integrations around your existing systems. Contact our team and we will scope it with you.

Explore More Use Cases

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Verify the authenticity of legal briefs, contracts, and research memos.

Recruiters

Identify genuine candidates by detecting AI-generated applications.

Uphold Academic Standards

Give your institution reliable AI detection that respects student privacy and supports fair assessment. Start analyzing submissions today.

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