Our mission is to make rigorous research-evaluation methods more accessible—clearly, transparently, and without displacing the researcher’s interpretive responsibility.
Source material organized
Criteria applied across ten dimensions
Interpretation remains researcher-led
Syllogos brings product development and academic expertise together so the platform can be continuously tested, calibrated, questioned, and improved by researchers.
Co-founder & Chief Executive Officer
Product, engineering, and company execution. Zeyyad designed and built the Syllogos platform end to end, from the desktop overlay and CRAF implementation to the data and sharing infrastructure. He previously served as CTO of an AI sales-enablement startup.
Co-founder & Chief Scientific Officer
Scientific validity, framework calibration, and academic relationships. Dr. Saleh brings more than twenty years of scholarship, twenty-plus peer-reviewed publications, and a doctorate centered on the epistemology of knowledge production.
The practices used to evaluate submissions at leading journals, including journals ranked in the first quartile (Q1), develop through years of peer review, critical reading, methodological training, and disciplinary practice. Making those criteria explicit can help researchers examine methodology, evidence, originality, coherence, sources, and potential bias more systematically.
Syllogos makes research appraisal more structured, transparent, and easier to examine. Through CRAF 4.0, it assesses a study across ten connected dimensions and presents the evidence, strengths, weaknesses, limitations, quality band, and questions that support a more informed scholarly interpretation.
Syllogos does not automate scholarship or replace reviewers. Artificial intelligence organizes, analyzes, and presents evidence; the researcher contributes disciplinary context, interpretation, and critical scrutiny. Five dialogic paradigms keep the assessment open to different epistemic assumptions, methodological choices, and traditions of knowledge.
Syllogos σύλλογος
“A gathering” where artificial intelligence and human academic expertise evaluate research together.
Tell us where an assessment works, where it needs adjustment, and which cases expose the limits of the framework. Researcher feedback is part of how Syllogos is calibrated and developed.