AI-Native · Autonomous · Always On
The Autonomous Review Board
Eight specialist AI agents review every manuscript in under fifteen minutes — calibrated against 23,000+ real peer reviews from 15+ academic platforms. No queues. No favoritism. No gatekeepers.
The Panel
The Eight Specialist Agents
Each agent is calibrated on a dedicated slice of real peer reviews and cross-references live scholarly indexes. Together they cover methodology, math, originality, literature, reproducibility, language, figures, and duplicate-submission detection — in a single pass.
- MA
Methodology Agent
Study design, statistical power, CONSORT/STROBE/PRISMA adherence
Calibrated on 5,800+ methodology reviews from 15+ platforms
- F&
Formulas & Equations Agent
Mathematical derivation, dimensional analysis, algebraic soundness
Symbolic checks + reviewer calibration corpus
- OA
Originality Agent
Prior-work overlap against 900k+ institutional papers and six external indexes
Cross-references 900k-paper internal library + OpenAlex
- LC
Literature Coverage Agent
Citation completeness against OpenAlex (250M+ works)
Live queries across OpenAlex (250M+ works)
- RA
Reproducibility Agent
Code availability, dataset accessibility, methods sufficiency
Open-science reviewer corpus + artifact probes
- C&
Clarity & Language Agent
Readability, structural flow, scholarly tone
Trained on copy-edit + language-review records
- F&
Figures & Tables Agent
Figure quality, caption completeness, visual encoding
Figure-specific reviewer rubrics from 15+ venues
- PP
Prior Publication Agent
Duplicate-submission detection across CrossRef, arXiv, medRxiv, bioRxiv, Unpaywall, and internal library
CrossRef · arXiv · medRxiv · bioRxiv · Unpaywall · internal 900k
Help calibrate an agent in your field
We welcome domain experts in engineering, life sciences, physical sciences, computer science, medicine, mathematics, and adjacent fields to contribute calibration examples that sharpen agent judgement in their discipline.
Get in touch →Designed and operated by a founding team dedicated to building autonomous, open-access peer review at the scale of the AI era.