Frizzle
AI grading for handwritten K-12 maths, with misconception tracking and class analytics
About Frizzle
Frizzle grades handwritten K-12 maths work from a photograph and turns it into class-level analytics, which is a narrower and more useful claim than most AI-for-education tools make. Students keep working on paper — no device rollout, no new workflow for the class — and the teacher snaps a stack from a phone, document camera or scanner. Frizzle reads the handwriting at a stated 97% accuracy, marks step by step rather than only checking the final answer, and recognises multiple valid solution paths, which is the difference between a grading tool a maths teacher can trust and one they abandon in week two. The output is not just a score: it is a live class dashboard showing who is stuck, which misconceptions are spreading and what each student needs next, with misconception tracking and custom rubrics on the paid tier. The value case is straightforward arithmetic — teachers report spending over ten hours a week, about a quarter of their working time, on grading, and a class of 28 papers is read in roughly eight minutes. The free tier is unusually generous and is clearly the acquisition strategy: 50 worksheets a month forever, no credit card, no expiry, with the same handwriting accuracy and step-level feedback as paid. FERPA, COPPA and SOC 2 Type II compliance are in place at every tier, with district rostering, LMS integration and custom DPAs reserved for institutional contracts.
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