Education

Transform Student
Outcomes with AI

Four production-ready AI pipelines for student progress analysis, report generation, parent feedback intelligence, and curriculum knowledge bases. Designed for K-12 networks at scale.

<10ms
p99 latency
14
production pipelines
89+
schools supported
Pipeline 01

Student Progress Analyzer

AI-generated progress reports with learning trend analysis. Ingests assessment data across subjects, identifies strengths and weaknesses, detects learning gaps early, and produces personalized recommendations for each student.

Analyzes assessment data across all subjects
Detects learning gaps 4-6 weeks earlier than term reports
Personalized recommendations for each student
Reduces teacher reporting time from 3-5 hours to 15 minutes
6
nodes
300K
reports/year
92%
teacher approval
See it live
Pipeline Flow
assessment-src student-context progress-prompt ai-analyst json-extract progress-reports
Pipeline Flow
student-data build-profile style-analyst agent-handoff report-writer json-extract report-cards
Pipeline 02

Report Card Writer

Multi-agent personalized report generation. A Style Analyst agent evaluates each student's learning profile, then hands off to a Report Writer agent that generates personalized, school-voice-aligned report cards at scale.

Two-agent pipeline: Style Analyst + Report Writer
Personalized tone matching each school's voice
Teachers review and refine instead of writing from scratch
Scales to 100K+ students across 89 schools
8
nodes
2
AI agents
90%
time saved
See it live
Pipeline 03

Parent Feedback Analyzer

Multi-language sentiment analysis across schools. Processes parent survey responses in 20+ languages, extracts themes and sentiment, and produces cross-school comparison insights within hours instead of weeks.

Multi-language support (20+ languages via GPT-4o)
Sentiment analysis and theme extraction per response
Cross-school comparison and trend detection
Insights available within hours, not weeks
6
nodes
20+
languages
89
schools
See it live
Pipeline Flow
survey-source extract-response sentiment-prompt ai-analyst json-extract feedback-insights
Pipeline Flow
query-source rag-retrieve context-prompt ai-responder json-extract answers-sink
Pipeline 04

Curriculum Knowledge Base

RAG-powered Q&A over curriculum documents. Ingests curriculum standards, lesson plans, and policy documents into a vector store, enabling teachers and administrators to query the knowledge base with natural language questions.

RAG retrieval over curriculum and policy documents
Natural language queries for teachers and admins
Source-cited answers with document references
Continuously updated as new documents are added
6
nodes
RAG
powered
95%
answer relevance
See it live

Return on Investment

Manual Processes vs. Magister

The numbers speak for themselves. Replace manual teacher workflows with AI-powered intelligence at scale.

Before
Manual Teacher Workflows
Progress report writing 3-5 hrs/student
Report card generation 2-3 weeks/term
Survey analysis 4-6 weeks
Curriculum queries Manual search
Teacher admin hours/year 450K+ hours
After
Magister AI Pipelines
Progress report writing 15 min/student
Report card generation Seconds
Survey analysis Hours
Curriculum queries Instant AI Q&A
Teacher admin hours/year 45K hours
90%
time saved
300K
reports/year
89+
schools served
405K
hours saved/year

Ready to Transform Your School Network?

See these pipelines running with your data. Book a 30-minute demo with our education team.