1
Submission
AI Pre-screening
2
Cross-Reference
Semantic Mapping
3
Expert Review
Peer Evaluation
4
Fact-Check
Source Validation
5
Publication
Versioning & Indexing
🤖
AI Pre-screening

Submitted content passes through our NLP engine for plagiarism detection, coherence scoring, bias analysis, and initial categorization.

⚡ Avg: 12s Automated
🔗
Semantic Cross-Reference

Our knowledge graph engine maps claims against 2.4M+ existing articles, identifying contradictions, gaps, and required citations.

⚡ Avg: 45s AI + Graph
👥
Expert Peer Review

Domain-specific editors evaluate tone, depth, structure, and adherence to style guidelines. Minimum 2 reviewers per submission.

⚡ Avg: 18h Human
🔍
Source Validation

Every external link and citation is verified for accessibility, recency, and authority. Broken or low-credibility sources are flagged.

⚡ Avg: 6h Hybrid
📦
Versioning & Indexing

Approved articles are snapshotted, version-controlled, and pushed to CDN + search indices. Historical diffs remain accessible.

⚡ Avg: 8s System
🛡️
Post-Publication Monitoring

Continuous AI surveillance detects vandalism, outdated claims, and citation rot. Automated alerts trigger re-review workflows.

⚡ 24/7 Always On
99.94%
AI Pass Rate
▲ 0.2% vs last month
22.4h
Avg Review Time
▼ 4.1h improvement
0.8%
Rejection Rate
▲ Stable & Low
142ms
Index Latency
▲ Optimized
Pipeline Event Log