The World's First
Multi-Agent Peer Review
Don't rely on a single prompt. We convene a council of 6 specialized AI agents to scrutinize your manuscript for novelty, methodology, and logic before you submit.
Trusted by researchers at
The Review Council
Peer review is complex. A single AI lacks the nuance to critique both statistical rigor and narrative flow simultaneously. We solved this by splitting the cognitive load across 6 distinct personas.
Methodology Master
Experimental Rigor
Core Question
"Is the experiment reproducible?"
Function
Analyzes sample sizes, control groups, and statistical validity. Flags p-hacking and correlation/causation errors.
Evaluation Metrics
Orchestrated Intelligence
Unlike standard chat interfaces, our "Orchestrator Model" breaks your paper into component parts, assigns them to specialists, and synthesizes the results into a cohesive report.
Real-Time Coordination
Watch as agents identify conflicting feedback (e.g., "Methodology Master" vs "Novelty Navigator") and resolve it before you see the final score.
Format Agnostic
Whether you upload a raw `.tex` zip or a polished PDF, the orchestrator normalizes the data structure for consistent analysis.
Synthesized Reports
The final output isn't a list of errors—it's a strategic revision plan prioritized by impact on acceptance probability.
Your Research Remains Yours. Always.
We understand the fear of "scooping" and IP theft. Our architecture is built to ensure your unpublished data never enters a public training set.
- Encryption in Transit & Rest: All manuscripts are AES-256 encrypted.
- No Training: We explicitly opt-out of data usage for model training via API agreements.
- Auto-Delete: Reviews and manuscripts are permanently purged from our servers after 24 hours unless saved.