Frizzle

Frizzle is an AI-powered operating system for math classrooms that uses computer vision and large language models to grade handwritten mathematics with 97% accuracy. The product is built for K-12 teachers, schools, and districts who want to keep students working on paper while capturing the granular data that has never been available in math education. Frizzle reads handwritten work from photographs taken by a phone, document camera, or scanner, then processes every step of student thinking, not just final answers. The system identifies 147 named misconceptions across K-12 math, maps them to Common Core State Standards and 30 state frameworks, and returns live dashboards showing which standards each class and student has mastered. For teachers, this means reclaiming the 10 to 15 hours a week they spend grading by hand. For coaches and administrators, it means running specific standards-level conversations instead of generic ones. For districts, it means cutting math screen time without losing the classroom-level data they need. Frizzle is live in over 30 schools and districts, including a college math pilot at Vanderbilt and Arizona State University. The product is FERPA and COPPA compliant, uses AES-256 encryption at rest and TLS in transit, and student work never trains the model. Frizzle is free for individual teachers with no credit card required.

Handwriting Recognition for Any Style

Frizzle reads any handwriting including print, cursive, scribbled, and sideways writing. The system processes student work exactly as it appears on paper without requiring students to change how they write. This feature ensures that every student gets credit for their thinking regardless of penmanship or writing style.

Step-Level Misconception Detection

Frizzle does not just mark answers right or wrong. The system understands every step of student work and tags exactly where thinking went off track. It recognizes multiple solution paths so three students who solve a problem three different ways all get full credit. Each flag links back to the exact stroke on the page.

Standards Alignment and Prerequisite Tracing

Frizzle maps every problem and misconception to Common Core State Standards, TEKS, and over 30 state frameworks. The system includes prerequisite tracing that knows when a seventh grade error is actually a fourth grade gap that needs to be addressed. This gives teachers precise information about what to reteach.

Live Classroom and District Dashboards

Frizzle provides live dashboards that update in real time as papers are read. Teachers see who is stuck, which misconceptions are spreading across the class, and what to teach tomorrow. Schools and districts can aggregate anonymized signal across periods, grades, and buildings to see where to invest and which curricula are working.

Daily Math Homework and Classwork Grading

Teachers photograph a stack of student papers using their phone, document camera, or classroom scanner. Frizzle reads every page in about 30 seconds for a class and returns full grading within 8 minutes. Teachers get step-level feedback for each student, flagged misconceptions, and a classwide view of mastery without spending Sunday afternoon grading by hand.

Formative Assessment Without Screen Time

Students keep writing math on paper with pencils and erasers. Teachers do not need tablets, student logins, or any migration to new workflows. Frizzle slots into the way teachers already teach while providing the granular data that standardized spring assessments cannot deliver. Districts cut math screen time without losing classroom-level data.

Standards-Level Coaching and Professional Development

Instructional coaches use Frizzle data to run specific conversations with teachers about which standards are not being mastered and which misconceptions are recurring across grade levels. Instead of generic coaching advice, coaches can point to exact problems and exact student work that reveals where instruction needs to change.

Schoolwide and Districtwide Curriculum Evaluation

Administrators use Frizzle to aggregate anonymized data across all classrooms in a school or district. They can see which curricula are actually producing mastery, where equity gaps emerge in real time, and which prerequisite skills need reinforcement before moving to new content. This replaces waiting on spring assessment results.

How does Frizzle read handwriting from a photograph?

Frizzle uses computer vision and large language models trained on 1.4 million pages of K-12 student work. The system processes photographs taken by a phone, document camera, or scanner. It reads print, cursive, scribbled, and sideways handwriting. The system links every page to the right student automatically and understands multiple solution paths for the same problem.

Is Frizzle compliant with student privacy laws?

Yes. Frizzle is fully FERPA and COPPA compliant. The company undergoes SOC 2 Type II auditing annually. All data is encrypted with AES-256 at rest and TLS in transit. Student work never trains the Frizzle model. Data stays with the school and district. Privacy is built into the foundation of the product.

What math standards does Frizzle support?

Frizzle supports Common Core State Standards, TEKS, and over 30 state frameworks. The system maps every problem and misconception to specific standards. It includes prerequisite tracing that identifies when a student is struggling with a skill that should have been mastered in a previous grade. This helps teachers address foundational gaps.

How much time does Frizzle save for teachers?

Teachers typically spend 10 to 15 hours per week grading math work by hand. Frizzle reduces this to about 30 seconds for photographing a stack of papers and 8 minutes for the system to process the entire class. Teachers get step-level feedback, misconception flags, and live dashboards that tell them exactly what to teach next.