Grade handwritten math from a picture. Standards-level data, no screens.
Frizzle uses computer vision and LLMs to accurately grade handwritten math (97% accuracy), flagging uncertain results for human review. Students write on paper; teachers scan work. It delivers rapid, standards-level formative analytics, revealing CCSS mastery. This saves teachers 10-15 hours weekly grading, enables targeted coaching, and reduces math screen time while providing essential classroom data. Trusted by 30+ schools, including Vanderbilt & ASU pilots.
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