Gradence provides educators with the tools to deliver world-class formative feedback.
We don't replace the teacher; we amplify their ability to guide student growth.
"In fee-paying private academies, assessment is often shaped by parental expectations... resulting in grading practices that do not always reflect the developmental needs of learners."
We don't just grade essays. We digitize the entire assessment workflow.
We bridge the analog-digital divide. Our computer vision pipeline extracts handwritten text from paper exams with high fidelity, distinguishing between student writing and printed prompts.
From IELTS speaking tests to classroom presentations. We perform automated transcription followed by rhetorical analysis to grade fluency, pronunciation, and coherence.
We support the files schools actually use. Native processing for HWP (Hangul Word Processor), Microsoft Word, and PDFs ensures no student is left behind by compatibility issues.
We leverage a distributed, event-driven architecture designed for continuous use in school environments, handling bursts of concurrent submissions during exam periods alongside sustained background analysis for progress tracking.
Cloud credits will support our active pilot deployments and scale testing across multiple classrooms, ensuring we maintain real-time feedback performance as user load increases.
async def process_submission(file_stream): # 1. Async Ingestion (Cloud Storage) blob = await storage.upload(file_stream) # 2. Celery Task Distribution job = analyze_task.delay(blob.id) # 3. Multi-Stage Inference if blob.is_video: transcript = await speech_engine.transcribe(blob) analysis = await llm.analyze(transcript, context=history) # 4. Real-time Push socket.emit('update', {'status': 'complete', 'data': analysis})
Native and rubric-aligned support for leading international assessment frameworks.
MYP Criteria A-D & DP
9-1 Grading Scale
A1 - C2 Proficiency
Standardized Exam Prep