Dual 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.

Authorship Analysis

AEI — Authorship Integrity Engine

Quantitative Analysis

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.

assorted-title of books piled in the shelves

three girls in graduation gowns hold their caps in the air

woman using laptop computer beside person wearing hat

Academic Work Requires Specialized 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.

Explore The Engines

Writing-Based Work

Quantitative Work

ENGINE NAVIGATION

MIE

Mathematical Integrity Engine

AIE

Authorship Integrity Engine

black framed eyeglasses on white book page

Authorship Consistency Modeling

Builds a longitudinal profile of a student’s writing identity

Stylometric Fingerprinting

Captures unique writing characteristics such as syntax, lexical choice, and structural patterns

Drift Detection

Identifies deviations from established writing patterns across submissions

person holding pen writing on white paper

a blue running track with white numbers on it

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

Cross-Submission Analysis

Detects inconsistencies across assignments, formats, and timelines

Writing DNA

A dynamic authorship profile that represents each student’s unique writing identity.

Includes

Sentence structure patterns
Vocabulary distribution
Syntax consistency
Writing rhythm and pacing
Tone and voice markers

What This Means

AEI builds a longitudinal authorship identity, allowing it to detect when a submission deviates from a student’s natural writing style.

Example Insight

Baseline: simple sentence structure and limited vocabulary variation New submission: advanced phrasing, complex syntax, and new vocabulary clusters

Authorship inconsistency detected

AEI Honest Report

Authorship Integrity Indicator
Writing consistency summary
Highlighted deviations
Recommended next steps (clarify, meeting, appeal)

MEI — Mathematical Integrity Engine

A proprietary behavioural reasoning intelligence system that models how students solve problems and evaluates consistency in quantitative reasoning over time.

What does MEI Analyzes ?

Step-by-step solution structure
Logical progression between steps
Problem-solving approach
Concept application consistency Solution complexity and efficiency
Behavioral patterns across submissions

Mathematical equations are written on a white page.

Mathematical Reasoning Fingerprint (MRF)

Captures how a student structures and executes solutions

a purple background with a black and blue circle surrounded by blue and green cubes

Anomaly Detection

Identifies irregularities in solution behavior

Anomaly Detection

Identifies irregularities in solution behavior

Woman in front of chalkboard with complex equations

Reasoning Drift Detection (MRDD)

Detects changes in problem-solving patterns over time

Quantitative Consistency Index (QACI)

Measures stability in reasoning across assignments.

Pencil rests on a detailed map with transportation lines.

Solution Path Analysis

Evaluates step count, structure, and logical sequencing

Mathematical Profile

A dynamic profile that models each student’s quantitative reasoning behavior over time.

Reasoning Structure Score

Step Complexity Score

Cognitive Step Density

Reasoning Drift Trajectory

Concept Execution Consistency

Solution Path Entropy

What This Means ?

MEI builds a quantitative reasoning identity, allowing it to detect inconsistencies in how students solve problems—not just whether the answer is correct.