AI assessment platform for defensible scoring.
Evalysis helps teams score open-ended student work with rubrics, multimodal intake, human review, validation reports, and replayable decision traces.
A practical overview.
Built around assessment operations
The platform handles submission intake, rubric context, scoring panels, confidence routing, feedback, reporting, and audit records in one workflow.
Multimodal by default
Student work arrives as typed text, scans, PDFs, handwriting, diagrams, speech, and mixed files. Evalysis preserves that evidence while producing structured scores and reports.
Validated for the stakes
Pilots compare AI scoring with human ratings, expose disagreement, measure subgroup behavior, and define which responses need human review.
Library topics that support this page.
AI assessment validation
A practical guide to validating AI scoring systems with human agreement, confidence routing, subgroup checks, calibration, and audit replay.
Multimodal AI assessment
How multimodal AI assessment scores handwriting, math notation, diagrams, speech, PDFs, lab work, essays, and mixed student submissions.
Constructed-response scoring
How AI scoring applies to short answers, science explanations, math work, evidence-based writing, partial credit, and rubric-based constructed responses.