Docere
Website unreachable since Oct 24, 2026
Docere is an AI learning platform that gives teachers persistent memory of every student's learning journey. The system automatically captures questions, struggles, and breakthroughs, then uses semantic search to detect patterns and deliver targeted intervention alerts directly to teachers' inboxes. It is currently in beta across two school districts in Minnesota, reaching over 1,000 students.
- Education Technology
- Artificial Intelligence
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Most AI tutoring systems treat each session as independent, forcing repeated inference of prior understanding and assuming that correct answers alone indicate effective learning. This fragmented approach fails to capture the continuous learning journey, leaving teachers without actionable insight into individual student progress, recurring struggles, or breakthrough moments.
Solution
Docere is an AI learning platform with classroom and student-level memory that personalizes education and improves understanding over time. The system operates invisibly in the background, automatically capturing every question asked, struggle encountered, and concept explored as students interact with lessons. Using vector embeddings and semantic search, Docere identifies patterns across student interactions, connecting similar struggles and recurring confusion points without requiring manual input from teachers. The AI analyzes data across all students simultaneously to detect disengagement signals, track progress on specific concepts, and recognize when students overcome previous difficulties. Teachers receive automated, targeted alerts celebrating breakthroughs, flagging students needing support, highlighting classroom-wide learning gaps, and recommending personalized interventions directly to their inbox.
Target Audience
Primary customers are K-12 schools and districts seeking AI-powered insights into student learning progress, currently deployed across two school districts in Minnesota.
Features
- Automatic capture of all student interactions including questions, struggles, and chat messages without any manual teacher input
- Semantic pattern recognition using vector embeddings and semantic search to understand context, not just keywords
- Cross-student intelligence that identifies recurring confusion points and disengagement signals across the entire classroom
- Automated teacher alerts with targeted recommendations for interventions, delivered directly to inbox
- Encrypted data storage in dedicated classroom environments with no sharing between classrooms or institutions
- Real-time learning profile building as students naturally engage with curriculum