Not Just Another AI Review
Here's what makes Deep Audit different from pasting your paper into ChatGPT:
Multi-Pass Deep Analysis
NEWTwo focused analysis passes (6 models total) — methodology gets dedicated deep attention, not a surface scan. Comparable to refine.ink depth.
Internal Consistency Check
NEWDetects contradictions between your abstract vs results, intro vs conclusion, methods vs what's applied. Shows both quotes side-by-side.
Prior Work Search
NEWSemantic Scholar finds 10 related papers. Originality is grounded in REAL publications, not AI guesses. Like paperreview.ai but broader.
Target Venue Calibration
NEWSet your target journal — the AI reviewer calibrates expectations to that venue's standards. Reviewer 2 persona.
Triple-Model Cross-Validation
UNIQUEo4-mini, Claude Sonnet 4.6, and Gemini 2.5 Flash analyze independently. Conservative merge — lower scores win.
Real Reference Verification
UNIQUEEvery citation checked against CrossRef & Semantic Scholar APIs. We verify they actually exist.
Reviewer 2 Commentary
Authoritative reviewer voice with section grades (A-F), strengths/weaknesses, and a numbered revision roadmap.
9-Dimension Scoring
Structure, Methodology, Citations, Arguments, Consistency, Compliance, Originality, Writing — each scored 0-100.
How It Works
Your Data Is Safe
Zero Retention
Your uploaded paper is processed in memory only and automatically deleted after analysis. We never store your document on our servers.
Encrypted Transit
All data is transmitted over HTTPS/TLS encryption. Your paper content is never logged or cached.
Only Scores Saved
We only save your audit scores and feedback to your account — never the paper text itself. You can delete your audit history anytime.
No AI Training
Your paper is NOT used to train any AI models. OpenAI and Anthropic API terms prohibit using API data for training.