Frizzle

AI that grades handwritten K-12 and college math from a photo or copier scan, returning standards-level analytics. 97% accuracy, no Chromebook needed.

frizzle.com

Frizzle uses computer vision and LLMs to grade handwritten math at 97% accuracy, with a confidence-interval system that flags uncertain grades for human review. Students write on paper. Teachers photograph the work or run it through the copier. Within hours, Frizzle returns standards-level formative analytics, showing which CCSS standards each class and student has actually mastered, instead of waiting on spring assessments. The result: math teachers get back the 10-15 hours a week they spend grading by hand, coaches run specific standards-level conversations instead of generic ones, and districts cut math screen time without losing the classroom-level data they need. Live in 30+ schools and districts, including a college math pilot at Vanderbilt and ASU.

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AI Teacher Assistantautomated gradingcomputer visiondifferentiated instructionFormative Assessmenthandwriting recognitionmath gradingstandards-based analytics

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