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Purpose-built AI for academic publishing, not generic language models

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Semantic Match 65% Topic Overlap 20% Quality 8% Activity 7%

Every recommendation scored on four transparent signals. See exactly why each journal was suggested.

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70M+ Papers 768-dim Vectors FAISS Search

Your abstract is embedded using the same model trained on 100M+ scientific papers, then matched against 177,324 journal centroid vectors.

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No paid ranking All publishers APC-aware

No publisher pays for placement. Results reflect genuine topic fit and journal quality, not commercial relationships.

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