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Built for Integrity. Powered by Adaptive Intelligence.


HonestIQ helps institutions protect academic standards while adapting to the future of education. By combining AI detection, quantitative analysis, authorship verification, and human-led review, HonestIQ delivers clear, evidence based insights with complete transparency and control.

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Built for Integrity. Powered by Innovation.

“HonestIQ has transformed how we manage academic integrity. It gives us the clarity and confidence to make fair, defensible decisions backed by real evidence.”

Dr. Michelle Ayers
Dean of Academic Affairs​
HONESTIQ CORE TECHNOLOGY

HonestIQ Integrity Architecture

HonestIQ integrates multiple integrity engines to detect AI misuse, verify authorship consistency, and analyze mathematical reasoning across written, and quantitative coursework.

Authorship Integrity
Engine (AIE)

HonestIQ Proprietary Technology

Detects AI-generated writing, plagiarism, and authorship anomalies.

  • AI-generated writing detection
  • Plagiarism similarity analysis
  • Authorship consistency modeling
  • Citation integrity verification
Explore AIE

Mathematical Integrity
Engine (MEI)

HonestIQ Proprietary Technology

Analyzes quantitative reasoning to detect anomalies across disciplines.

  • Step-by-step reasoning analysis
  • Solution path entropy detection
  • Reasoning drift from student baseline
Explore MEI

Institutional Integrity Framework

Human-led governance tools that support fair and transparent academic integrity review.

  • Instructor integrity review tools
  • Integrity committee workflow
  • Structured dispute resolution
  • Institutional policy enforcement
View Integrity Framework

See how all three engines work together to protect academic integrity across your institution.

Explore HonestIQ Technology


What Makes HonestIQ Different?

HonestIQ is built on a multi-layered integrity framework that goes beyond detection. By combining quantitative analysis, authorship verification, and human-led workflows, it delivers a more reliable and complete approach to academic integrity.


Built for Fairness and Accountability

• Every flag is reviewed not automated
• Every decision is evidence-backed

• Every case is auditable


Built for evidence based decisions not automated assumption


Explore Advantages Dispute Resolution

AI Detection

Authorship Integrity

Detects shifts in writing style and consistency.

Plagiarism Check

Student Math Profile 

Models how each student thinks and solves problems.


Plagiarism Check

Student Writing DNA

Builds each student’s unique authorship identity over time.


Authorship Integrity

Qualitative Analysis

Evaluates writing structure, context, and authorship patterns.


AI Detection

Quantitative Analysis

Analyzes how students solve not just final answers.


Authorship Integrity

Honest Report

Delivers clear, evidence backed integrity summaries.

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Dispute Resolution

Enables fair, transparent review of flagged work.


AI Grading Assistant

Instructor Command Center

Manage cases, reports, and decisions in one place.

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Integrity Intelligence

Turn analysis into clear, actionable insights.


Multi-Layered Detection

AI, authorship, and behavioral signals combined.

Human-Led Review

Every decision is verified—not automated.


Case Resolution System 

Manage, review, and resolve integrity cases end-to-end.

Frequently Asked Questions

HonestIQ is a full academic integrity ecosystem combining intelligent analysis, instructor workflows, and built-in support layers to ensure fairness and accountability at every stage.

HonestIQ is a full academic integrity ecosystem with analysis, workflows, and built-in support—not just detection.

It analyzes writing patterns, reasoning, and behavior—not just similarity—to assess authenticity.

AIE builds writing DNA, while MIE analyzes problem-solving to create a student’s math profile.

Accuracy improves over time, with confidence levels included in every report.

No—HonestIQ provides insights, but instructors make all final decisions.

A clear integrity overview, confidence level, and key indicators for instructor review.

Yes—thresholds can be customized to match course or institutional standards.

Students can submit evidence or clarification through a structured dispute process.

Yes—it integrates with major LMS platforms and supports Google Classroom.

Yes—HonestIQ follows strict data protection standards and privacy regulations.

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