From raw student responses to actionable learning signals.
ClassSignal leverages the Microsoft Azure Cognitive and Cloud stack to analyze response-level student assessment data at scale. The system computes what the evidence indicates — educators decide how to teach.
Cloud & AI Foundation
Powered by Microsoft Azure Cognitive Stack
Enterprise-grade scalability, sub-second inference, and rigorous student data privacy built directly into the core infrastructure.
Azure OpenAI Service
Powers pedagogical misconception detection, cognitive error clustering, and automated teacher micro-intervention synthesis using fine-tuned reasoning models.
Azure AI Document Intelligence
Ingests scanned handwritten student test papers, mathematical notation, and digital exam scripts with sub-character accuracy.
Azure Cosmos DB
Stores student response trees, historical cohort mastery records, and national curriculum taxonomy graphs with sub-10ms global latency.
Azure AI Search (Cognitive Search)
Semantic vector indexing that maps student errors directly to national curriculum standards (WAEC, IGCSE, US Common Core, IB).
Azure Kubernetes Service (AKS)
Elastic container orchestration that scales automatically during peak end-of-term school examination periods.
Azure Data Factory & Synapse
Aggregates multi-school cohort benchmarks, learning poverty metrics, and longitudinal intervention efficacy for NGOs and school networks.
Processing Pipeline
End-to-end telemetry workflow
How student script data traverses our Azure pipeline to generate an 85% review efficiency turnaround for teaching teams.
- 01
Assessment Ingestion
Azure AI Document Intelligence + Blob StorageStudent test papers (handwritten or digital) are securely uploaded and transformed into structured response data.
- 02
Semantic Parsing & Vectorization
Azure AI Search + Text AnalyticsIndividual answers and multi-step workings are vectorized and mapped to curriculum learning objectives.
- 03
Cohort Pattern Detection
Azure OpenAI Diagnostic PipelineClustering algorithms separate isolated student slips from shared, systemic conceptual misconceptions across the class.
- 04
Intervention Generation
Fine-Tuned Pedagogical LLMsSynthesizes concise 10-minute classroom remediation strategies and whiteboard checks tailored to the specific error pattern.
- 05
Teacher & Network Dispatch
Azure SignalR + App Service APIPushes real-time diagnostic signals to the teacher's cockpit, school leader dashboards, and network LMS systems.
Full Architecture Stack
Security & Student Privacy
Enterprise data sovereignty & FERPA/GDPR compliance
ClassSignal enforces strict zero-trust data segregation for every school network, NGO partner, and district tenant.
Student assessment data is anonymized at the ingestion boundary before entering Azure AI processing pipelines. No student PII is used to train public foundational models.