LilyChart is an AI‑driven platform that converts natural‑language observations—typed or spoken—into compliant IEP entries and progress reports for K‑12 special education.
Funding
Funding not disclosed
Founders
Product
Problem
Special education teams spend extensive time manually transcribing teacher and therapist observations into IEPs and progress reports, often using separate forms and checkboxes, which leads to paperwork overload, inconsistent documentation, and delayed compliance reporting.
Solution
LilyChart offers an AI‑driven platform that turns natural‑language observations—typed or spoken—into compliant IEP entries and progress reports in real time. The system automatically extracts evidence from notes, links each piece to the relevant student goals, and generates data‑driven narratives with citation links. All student data is centralized, providing a single view of evidence, goal tracking, and progress trends across teachers, specialists, and therapists. Collaboration is streamlined through automatic updates and shared dashboards, allowing educators to focus on instruction rather than paperwork.
Target Audience
Primary users are special education teachers, related service providers, and school administrators responsible for IEP creation and progress monitoring in K‑12 schools.
Features
- Voice and text input for observations, eliminating the need for forms or checkboxes
- AI extraction that identifies evidence, tags it to specific IEP goals, and creates organized documentation instantly
- Real‑time progress dashboards with visual trend analysis for each student and goal
- Automated report generation with built‑in evidence citations and compliance formatting
- Centralized data repository that aggregates notes from multiple educators and specialists
- Seamless collaboration with automatic updates and shared access for teachers, therapists, and administrators