Rubric Assessment
Learning Engine
A deterministic, multimodal AI pipeline designed to solve the "Pedagogical Gap." RALE transforms massive streams of noisy classroom data into highly structured, forensic human-in-the-loop datasets.
root@rale:~$ ./bin/ingest --modality=audio --stream=ws://skyonomy.live
[INFO] Connecting to Multiverse Queue... OK.
[INFO] ASR Pipeline: Whisper-V3-Large (Confidence: 0.94)
[INFO] Extracting Pedagogical Facts...
FOUND → {"domain": "GRAM", "category": "TENSE.PAST", "ai_confidence": 0.88}
FOUND → {"domain": "LEX", "category": "ADVANCED.IDIOM", "ai_confidence": 0.92}
[SUCCESS] Taxonomy mapping complete. Waiting for Human-in-the-Loop verification...
root@rale:~$ _
System Architecture
Multimodal Ingestion
Standard LLMs fail on noisy real-world data. RALE natively processes raw ASR (Automatic Speech Recognition) transcripts, computer vision handwriting (OCR), and complex conversational telemetry.
Taxonomic Decomposition
General praise is useless in education. RALE decomposes student performance into a rigorous DOMAIN.CATEGORY.SKILL taxonomy, mathematically projecting to international scales (IELTS, CEFR, TOEFL).
The RLHF Data Flywheel
Our ultimate defensible moat. The Skyonomy Teacher Desk acts as a massive Human-in-the-Loop triage center. Every human correction silently feeds back into RALE to fine-tune our proprietary evaluation models.
Built on Enterprise Infrastructure