AI Lab

Teaching teams lose several hours weekly retrieving regulations, syllabi, and procedures scattered across disconnected systems. This secure RAG centralizes all references with traceable citations and role-based access control. Estimated 60% reduction in document retrieval time during pilot phases.

Curriculum design is a slow, data-poor process often disconnected from labor market evolution. This generator analyzes real-time job signals and produces curricula aligned with future skills, with gap mapping. Curriculum redesign cycle reduced from 6 months to 3 weeks in pilot scenarios.

Standardized learning paths ignore individual rhythms and profiles, creating frustration and silent dropout. This engine adapts content, difficulty, and pace in real time based on performance and behavior signals. 35% improvement in completion rates and measurable reduction of end-of-module skill gaps.

Institutions detect struggling students too late, missing the window for early intervention before dropout. This model combines academic, attendance, and behavioral signals to flag at-risk profiles 6–8 weeks before disengagement. Preventive intervention rate multiplied by 3 in validation scenarios.

Admission processes rely on subjective criteria and overloaded reviewers, creating bias and inconsistency. This explainable scoring system standardizes evaluation on objective criteria with built-in bias auditing. 70% reduction in application processing time and improved inter-reviewer consistency.

Researchers and doctoral students spend weeks mapping a domain, risking missed key publications. This RAG copilot indexes scientific literature, synthesizes themes, and maps conceptual relationships across languages. Literature review time reduced from 5 weeks to 3 days in pilot evaluations.

AI tool proliferation makes traditional plagiarism detection obsolete, exposing institutions to compliance and reputational risks. This engine combines stylometric analysis, writing inconsistency detection, and non-compliant AI usage scoring. Non-compliant submission detection rate above 85% in internal benchmarks.

Educational, HR, and financial data are siloed in incompatible systems, making unified governance impossible. This Lakehouse blueprint unifies LMS, grades, attendance, HR, and finance in a governed, scalable architecture. Institutional report production time reduced from 3 weeks to 2 days.

Personalized feedback is scarce and expensive at scale: teachers lack time to respond individually to each student. This agent evaluates written and oral responses, identifies conceptual gaps, and generates actionable feedback in seconds. Student satisfaction up 42% and teacher correction time reduced 55% in pilots.

Institution leaders lack an objective framework to assess their AI maturity and prioritize investments. This index evaluates 5 key dimensions (data, governance, skills, infrastructure, use cases) and generates a prioritized transformation roadmap. Structured AI roadmap adopted by 100% of institutions evaluated in pilot workshops.

Leadership must justify EdTech investments without tools to model their financial and academic impact. This simulator projects ROI across deployment scenarios, factoring in costs, productivity gains, and learner outcome improvements. EdTech investment decision cycle reduced from 4 months to 3 weeks in simulations.

International students struggle with administrative processes and orientation in multilingual environments. This FR/EN/AR conversational assistant answers orientation, scheduling, and administrative support queries in real time. 45% reduction in front-desk inquiries and improved international student NPS.

Students lack personalized guidance to build a professional project coherent with their context, local market, and ambitions. This copilot generates a career, learning, and life plan adapted to the profile, country, and target sector, with actionable steps. Weekly user engagement multiplied by 4 and conversion to concrete actions at 68%.

Agent-based flow simulation and congestion reduction.

AI vision for anomalies and crowd compression risks.

Optimization of emergency response deployment.

Streaming platform unifying ticketing, transport, security, and IoT.

Capacity planning with multi-variable scenario simulation.

Real-time public transport load balancing.

Weather, health, and geopolitical risk intelligence for events.

RAG assistant guiding visitors in real time.

Carbon footprint measurement and optimization.

Sponsorship performance dashboard and lead generation intelligence.

Ticket pricing and partner package optimization.

Digital twin blueprint with flow simulation.

Shariah compliance scoring (debt, revenue, ratios).

Analysis of riba/gharar clauses and non-compliance points.

M&A data room RAG with risk identification.

Cash-flow simulation for Ijara, Musharaka, Murabaha structures.

Shariah-compliant return/risk optimization.

Macro stress tests with halal multi-asset allocation.

Zakat calculation and wealth structuring automation.

Knowledge graph linking companies, fatwas, debt, and compliance.

Startup scoring based on model quality and compliance.

Post-acquisition synergy prediction.

Continuous anomaly and compliance monitoring.

Executive dashboard for exposure, risk, and compliance.