// LAB PROJECTS
Exploring New Frontiers in Research
Discover our innovative projects and collaborative research areas across Arabic AI, edge systems, safety, and governance.
Filter by Research Direction:
Pyxon-Eye LMS Grading for Moodle
Integrate Pyxon-Eye AI into LMS platforms like Moodle for question-by-question grading and analysis—running on limited GPU machines with Pyxon SLLM.
Read moreArabic Reasoning Search
Embedding retrieval plus LLM pairwise re-ranking with Arabic explanations for high-precision semantic sentence search.
Read moreOn-Device RAG Benchmark
Edge RAG that lifts weak local LLMs to strong device-manual QA accuracy without cloud round-trips.
Read morePyxon SLLM v0
A compact ~1.6 GB Arabic instruction model packaged for offline and edge use (including Ollama).
Read moreArabic AI Text Detector
High-accuracy detection of AI-generated vs human Arabic text for authenticity and trust workflows.
Read moreArabic Poetry Benchmark
Meter and rhyme evaluation for specialized Arabic generation—exposing gaps in general LLMs.
Read moreCountry AI Governance Scoring
Score LLMs and RAG systems against country AI rules (e.g. SDAIA, UAE, EU) with developer-friendly packages.
Read moreGPU Lab
Map GPUs to LLM inference and fine-tuning capacity so teams pick hardware with evidence, not guesswork.
Read moreLLM Security Red Team
Prompt injection, token-drain, and adversarial testing to harden Arabic and enterprise LLM deployments.
Read moreModular RAG System
Composable RAG building blocks—Search, Fusion, Memory, Routing, Predict, Task Adapter—for Arabic and enterprise stacks.
Read moreEdge LLM Distillation
Compress Arabic-capable models for mobile and CPU inference without abandoning regional quality.
Read moreArabic Agentic Workflows
Approval-aware agents grounded on PYXON embeddings for multi-step Arabic enterprise missions.
Read moreISO 42001 AIMS Readiness
Adaptive interview that scores AIMS maturity and produces clause gaps plus a 90-day action plan.
Read more