Addie is an AI assistant that leverages existing student data from school information systems to provide personalized college counseling support. It engages students through conversational interfaces to gather rich, unstructured data, creating dynamic student profiles for counselors. This system amplifies counselor impact by automating data synthesis and narrative development for college applications and fit matching.
Funding
Funding not disclosed
Founders
Product
Problem
College counselors face significant time constraints due to the increasing volume of applications and the need for personalized student guidance. This pressure limits their capacity to thoroughly analyze unstructured student data, such as qualitative feedback and personal narratives, which are crucial for identifying best-fit educational opportunities.
Solution
Addie is an AI-powered platform designed to augment the capabilities of college counselors by automating data synthesis and streamlining application management workflows. The platform securely ingests structured data from Student Information Systems (SIS) and unstructured data from teacher comments, report cards, and direct student conversations. Addie's natural language processing (NLP) models analyze this comprehensive dataset to build detailed student profiles, known as "Ledgers." These Ledgers facilitate personalized guidance by surfacing key insights, identifying student strengths, and matching them with suitable schools and scholarships based on a proprietary "Thrive Index." Furthermore, Addie assists in crafting compelling application narratives tailored to specific institutional criteria, thereby enabling counselors to dedicate more time to direct student engagement.
Target Audience
The primary users are college counselors in independent schools, charter schools, and public school districts who manage student college applications and require tools to enhance efficiency and personalization.
Features
- Secure SIS data integration for grades, test scores, and qualitative feedback.
- NLP-driven analysis of unstructured text data, including teacher comments and student conversations, to create comprehensive student "Ledgers."
- AI-powered student profiling that identifies strengths, interests, and personal stories.
- "Thrive Index" algorithm for matching students to best-fit schools and scholarship opportunities.
- Automated generation of personalized application narratives tailored to institutional requirements.
- Chat and text functionality for direct student interaction to gather additional qualitative data.
- Counselor dashboard providing synthesized insights and actionable recommendations.
- Compliance with FERPA regulations for student data privacy.