Lingua.ly
Immersion-based language learning through real-world web content and context-aware SRS.
Transforming fragmented student data into actionable predictive insights for academic success.
EduAnalytics AI is a specialized data-intelligence platform designed for K-12 and Higher Education institutions. In the 2026 market, it stands out by utilizing a sophisticated RAG-based (Retrieval-Augmented Generation) architecture to query siloed institutional data across LMS, SIS, and financial aid systems. Unlike traditional dashboards, EduAnalytics AI employs neural networks to identify 'at-risk' students up to six weeks before academic failure occurs. The platform's architecture is built on a secure, multi-tenant cloud infrastructure that prioritizes FERPA and GDPR compliance. It integrates natively with Canvas, Moodle, and Blackboard, using vector embeddings to map student behavior patterns against historical success metrics. For administrators, it offers a generative AI layer that allows for natural language querying of complex data sets, enabling non-technical staff to generate longitudinal reports on retention, faculty effectiveness, and budget allocation in seconds. This democratization of data positioning makes it a leader in the educational operational intelligence sector.
Uses XGBoost algorithms to predict student drop-out likelihood based on 50+ behavioral variables.
Immersion-based language learning through real-world web content and context-aware SRS.
Hybrid language mastery through pedagogical technology and expert human oversight.
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
Accelerate Spanish and English mastery through Lingu, an adaptive AI tutor that personalizes every lesson.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
LLM-based interface that translates plain English into SQL queries for institutional databases.
Algorithmic auditing tool that scans predictive models for demographic or socioeconomic bias.
Edge computing integration with campus Wi-Fi and NFC scanners for live attendance tracking.
NLP analysis of course syllabi vs. labor market trends (O*NET data).
Scans discussion boards and student feedback using VADER sentiment analysis.
Workflow engine that assigns tasks to advisors based on AI-generated priority lists.
Universities lose 20% of freshmen within the first semester due to poor adjustment.
Registry Updated:2/7/2026
Misallocation of emergency funds leads to wasted resources.
Accreditation documentation takes months of manual data pulling.