Powered by Two Proprietary Integrity Engines
HonestIQ is built on two proprietary intelligence systems designed to support the full academic environment each purpose-built for a different type of student work.
Qualitative
AEI — Authorship Integrity Engine
Quantitative
MEI — Mathematical Integrity Engine
Rather than limiting institutions to detecting writing-based submissions alone, HonestIQ enables integrity analysis across both written and quantitative work supporting the full academic environment.
Academic Work Requires Domain Specific Analysis
Institutions evaluate a wide range of student work—from essays and research papers to multi-step quantitative problem solving.
These forms of work are fundamentally different.
A single detection approach cannot accurately evaluate both domains without introducing inconsistencies.
HonestIQ separates analysis into two specialized proprietary engines—ensuring accuracy across disciplines.
Writing-Based Work
- Essays
- Research Papers
- Discussion Posts
- Short Responses
Quantitative Work
- Math Assignments
- Problem Sets
- Equation-Based Solutions
- Multi-step Reasoning
Authorship Consistency Modeling
Builds a longitudinal profile of a student’s writing identity
Drift Detection
Identifies deviations from established writing patterns across submissions
Cross-Submission Analysis
Detects inconsistencies across assignments, formats, and timelines
AEI — Authorship Integrity Engine
A proprietary stylometric intelligence system that models each student’s writing identity and evaluates authorship consistency across submissions over time.
What AEI Analyzes
- Sentence structure and syntax patterns
- Vocabulary usage and distribution
- Writing rhythm and flow
- Tone and voice consistency
- Linguistic patterns across submissions
- Authorship consistency over time
Baseline Comparison
Anchors analysis against verified writing samples
Stylometric Fingerprinting
Captures unique writing characteristics such as syntax, lexical choice, and structural patterns