# Frizzle

> Grade handwritten math from a picture. Standards-level data, no screens.

Source: [Stellar Launch](https://www.stellarlaunch.org/), a launch platform where startups and new tools get discovered by early adopters.

- Stellar Launch homepage: https://www.stellarlaunch.org/
- Stellar Launch page: https://www.stellarlaunch.org/projects/frizzle
- Markdown version: https://www.stellarlaunch.org/projects/frizzle.md

## Details

- Website: https://frizzle.com
- Categories: SaaS
- Launch status: Launched
- Launch date: 2026-08-14 (08:00 UTC)
- Upvotes: 0

## Description

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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