Our Technology
LoomaEdu's innovative approach to AI detection combines behavioral analysis with sophisticated linguistic modeling for unparalleled accuracy.
Beyond Text Analysis
While other solutions only check the final output, LoomaEdu monitors the entire writing process in real-time, giving educators unprecedented insight into how content is created.
Our dual-layer approach combines behavioral monitoring with linguistic analysis, resulting in significantly higher accuracy than traditional detection methods.
How It Works: The Technical Overview
Our approach combines behavioral analysis with sophisticated AI models trained on both human and machine-generated content. Here's how we achieve industry-leading accuracy:
Layer 1: Behavioral Analysis
- 1Analyzes typing patterns, keystroke dynamics, and editing behaviors
- 2Detects unnatural bursts of text typical of pasted AI content
- 3Evaluates pause durations and writing rhythm unique to human authors
- 4Identifies revision patterns that differentiate human from AI writing processes
Layer 2: Linguistic Fingerprinting
- 1Custom 7B parameter model fine-tuned specifically for academic writing
- 2Analyzes syntax, vocabulary richness, coherence, and structural patterns
- 3Maintains individual student style profiles to detect sudden style shifts
- 4Employs contrastive learning to distinguish between AI-assisted and authentic writing
Data-Driven Development
Our AI detection technology is backed by extensive research and a comprehensive training strategy:
Diverse Training Data
Our model was trained on a diverse dataset of genuine student essays across subjects and proficiency levels, alongside AI-generated content from multiple sources.
Hybrid Scenarios
We've simulated real-world scenarios where students edit AI-generated content, training our system to detect these nuanced cases that other solutions miss.
Continuous Improvement
Our models are regularly retrained on new data to stay ahead of advancing LLM capabilities and evolving strategies for evading detection.
Technical FAQs
What if a student trains the AI to mimic their writing style?
While LLMs can mimic stylistic elements, they struggle to replicate behavioral signals. Our system doesn't just analyze linguistic output—it monitors how the writing was created (typing patterns, revision behavior, hesitations). We also track style drift longitudinally, so if a student shifts from writing naturally to using an AI mimic, our models detect the sudden change in entropy and process complexity.
What if a student lightly edits AI text to pass detection?
Light editing doesn't meaningfully erase the telltale patterns of AI writing. Our contrastive AI signature detection identifies deep latent features, not just surface-level changes. We calculate a linguistic distance score between the student's established style and the new submission—if the "editing" keeps the core structure intact, we can still flag high AI influence and categorize it as "AI-assisted" rather than fully "AI-written."
How do you handle legitimate student improvement or use of writing aids?
We don't penalize improvement—we encourage it! Our system distinguishes between structured, tool-assisted help (like grammar checkers) and full generative authorship. Tools like Grammarly suggest phrasing and fix grammar but don't rewrite entire paragraphs with novel content. The gradual growth of a student's writing quality looks very different from the statistical fingerprints of LLM-generated content.
How do you avoid false accusations?
Transparency is built into our system. Every AI use flag is accompanied by a confidence score and detailed rationale. Educators get full context about when the content was written, how it compares to past submissions, and what specific signals triggered concern. In edge cases, teachers can override or request a secondary review—we support human-in-the-loop decision making, not automated punishment.
Ready to See Our Technology in Action?
Experience the difference that real-time behavioral monitoring and our custom AI model can make for your institution.