What is the name of your organization?
EdLight
What is the name of your solution?
EdLight
Provide a one-line summary or tagline for your solution.
Your AI Math Co-Teacher
In what city, town, or region is your solution team headquartered?
Ventnor City, NJ, USA
In what country is your solution team headquartered?
United States
What type of organization is your solution team?
For-profit, including B-Corp or similar models
Film your elevator pitch.
What specific problem are you solving?
With overwhelming caseloads and administrative burdens, special educators often struggle to find the time and resources to provide the level of individualized support they know their students deserve. Our deep engagement with the SPED communities has revealed consistent pain points around progress monitoring and mathematics instruction. As the number of students in special education grows, so do the challenges in ensuring equitable instruction. While only 66% of students with disabilities graduate high school, nearly half of districts face special education teacher shortages, and just 19% of teachers believe the job is sustainable. These issues hit underserved students the hardest.
As EdLight continues to expand into SPED settings, we’ve identified several key challenges in supporting teachers and families effectively:
1. Lack of automated and visual progress tracking for IEPs - Existing IEP management tools are time-consuming and require teachers to manually collect and present data on student progress.
2. Limited focus on student growth rather than standards - In SPED settings, there is a need for tools that emphasize individual student progress, celebrate milestones, and spotlight achievements rather than only tracking standards mastery.
3. Difficulty in documenting and accessing supports - Teachers face challenges in creating and tracking modifications tailored to various learning differences.
What is your solution?
The EdLight platform leverages AI to empower math teachers with real-time insights into student learning. Our tool analyzes students' handwritten math work, providing teachers with instant feedback on student understanding, common misconceptions, and recommended next steps. At the heart of EdLight is our Annotation Model, trained on over 2 million teacher-generated annotations on handwritten student math responses. The engine can accurately interpret and categorize student work into 3 key buckets: Celebrate, Support, and Intervene. For work flagged as needing support or intervention, EdLight’s Insights feature goes a step further by diagnosing the specific misunderstandings or errors in individual student thinking, and recommending actionable, small-group instructional next steps for teachers.
Who does your solution serve, and in what ways will the solution impact their lives?
EdLight serves special education (SPED) teachers and newer math teachers, especially non-content experts, who face heavy workloads and struggle to provide individualized support. These educators often have large caseloads, lack resources, and face administrative burdens, leading to frustration and burnout. EdLight addresses these challenges by providing AI-powered, bite-sized, actionable feedback aligned with standards and real student work, enabling teachers to quickly identify student gaps, understand misconceptions, and plan targeted interventions. It helps new teachers improve faster, supports data-driven instruction, and ensures equitable, accessible, high-quality teaching and learning for diverse student populations, particularly Black, Brown, and low-income students.
