EdLight provides an AI‑powered co‑teacher that instantly analyzes photos of handwritten K‑12 math work, extracts misconceptions, groups students by mastery, and generates standards‑aligned next‑step recommendations. The platform delivers individual student insights and school‑wide dashboards, integrates with Google Classroom, Clever, and Easy IEP, and helps teachers and administrators monitor progress and support equitable instruction.
Funding
$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Math teachers struggle to assess handwritten student work quickly, identify individual misconceptions, and align instruction to standards, especially in diverse and underserved classrooms. This leads to delayed feedback, uneven support for students, and increased pressure on teachers, contributing to teacher turnover.
Solution
EdLight offers an AI-powered “co‑teacher” that automatically analyzes uploaded photos of handwritten math work. The system extracts errors, groups students by mastery level, and generates data‑driven instructional next steps aligned to curriculum standards. Results are compiled into school‑ and district‑level reports that help leaders track progress, inform IEP monitoring, and guide professional development. Integrations with Google Classroom, Clever, and Easy IEP streamline workflow, while responsible AI practices ensure compliance with FERPA, COPPA, and IDEA. By delivering instant, actionable insights, EdLight reduces grading time, supports teachers of varying expertise, and promotes equitable math instruction.
Target Audience
Primary users are K‑12 math teachers, math department leaders, and district administrators who need rapid, standards‑based insight into student work and support for teacher development.
Features
- AI model trained on 300,000+ samples of student handwriting, including hard‑to‑read scripts from underserved populations
- Automatic extraction of misconceptions and mastery grouping after a single photo upload
- Standards‑aligned analysis that maps findings to grade‑level math standards
- Curriculum‑agnostic design works with any math program or blended approach
- Adjustable student groupings and editable misconception tags for teacher collaboration
- School, grade, and district‑level data reporting dashboards for trend analysis and professional learning
- Integration with Google Classroom, Clever, and Easy IEP for seamless assignment and data flow
- Responsible AI framework with full FERPA, COPPA, and IDEA compliance