Advanced AI Text Analysis Technology
Most AI detectors scan for surface patterns and statistical quirks, which often triggers false positives on genuinely human writing and still misses a large share of machine-generated text.
ScribeGuard™ goes beyond simple AI detectors.
Accuracy
Our validation shows 99.997% accuracy with near-zero error across diverse domains and lengths. The pipeline is tuned to minimize collateral flags on legitimate prose while maintaining high sensitivity to machine-generated patterns at scale.
Evidence over verdicts
Evidence-first reporting: Every result includes rationale, signal traces, and reproducibility notes.
No false positives by design: The PRE™ + QPR™ consensus requires multi-signal agreement before any flag is issued.
Certain decisions: Confidence bands converge toward ~100% for stable cases, enabling decisive outcomes aligned with academic and editorial policies.
What makes it different
Models the generation process via PRE™ rather than relying on shallow surface cues.
Tests regeneration consensus with QPR™ to confirm signal stability across millions of near-neighbors.
Produces transparent, policy-ready reports with tunable thresholds and clear next steps.
How it works
1. Prompt Reverse Engineering™
Our engine reconstructs plausible instruction paths and drafting steps behind a document. By simulating likely prompts, planning scaffolds, and revision traces, it tests whether the text aligns with machine-style production behaviors or with human drafting dynamics.
2. Quantum Prompt Regeneration™
We generate a spectrum of near-neighbor texts across multiple semantic states. If many regenerated variants collapse toward uniform machine patterns, that is informative. If they disperse along humanlike stylistic diversity, that is also informative. This multi-state analysis strengthens confidence and reduces over-reliance on any single metric.
3. Mass-Scale Synthetic Variant Generation
ScribeGuard™ analyzes how text could have been produced, not just how it looks. Using Prompt Reverse Engineering™ (PRE) and Quantum Prompt Regeneration™ (QPR), the engine generates 4,000,000+ candidate variants per sentence, maps their semantic stability, and fuses the results with stylometry, burst profiles, and entropy bands to deliver an interpretable score with supporting evidence.
Services
AI Detection Report
Definitive report on suspected AI-authored text. Process-centric analysis with clear findings, confidence bands, and evidence trails suitable for academic or editorial review.
Plagiarism Screening
Comprehensive scan that maps textual overlaps and probable sources. You receive a source-linked similarity report with risk tiers and prioritized fixes.
Humanization and Plagiarism Remediation
Targeted repair of flagged passages through accurate attribution, citation insertion, and compliant paraphrasing. Includes a change log and before-after excerpts.