Nexgile-EduOrchestra Prism
The Nexgile-EduOrchestra Prism is an enterprise-grade digital platform designed to revolutionize the complete assessment lifecycle for educational institutions worldwide. Serving over 75,000 educators globally, this comprehensive platform addresses three critical educational needs: unified assessment creation, intelligent grading and feedback, and student learning analytics.
Platform Overview
Comprehensive enterprise solution
Questions Create Page - Assessment creation interface
Instructor Analytics Dashboard - Performance metrics and learning insights
Sample Departments - Department organization and structure view
User Profile Dashboard - Displaying user settings and account information
Digital Workers
Autonomous AI systems orchestrating multi-agent workflows
Enterprise Agentic AI-Powered Automated Grading & Feedback System
Manual grading of student submissions is extraordinarily time-consuming, inconsistent across graders, and delays feedback delivery to students. Educators spend an estimated 50% of their time on grading tasks, reducing availability for teaching and student support. Traditional grading lacks transparency in scoring decisions, creates bottlenecks during high-volume assessment periods, and fails to identify cross-submission patterns that could inform pedagogical improvements. Students receive delayed feedback that arrives too late to impact learning, while institutions struggle with quality assurance and calibration across multiple graders.
AI Agents
Enterprise AI-Powered Assessment Quality Assurance & Bias Detection System
Creating high-quality assessments is complex and error-prone. Questions may contain cultural or linguistic bias that disadvantages certain student populations, fail to align with learning objectives, have poorly functioning distractors that don't discriminate between knowledge levels, or concentrate at lower Bloom's taxonomy levels. Traditional quality review is manual, inconsistent, and often occurs too late to prevent deployment of flawed assessments. Institutions lack systematic processes to ensure assessment validity, reliability, and fairness before administration.
AI Agents
Enterprise AI-Powered At-Risk Student Identification & Personalized Intervention System
Identifying at-risk students early enough for effective intervention is challenging. Traditional early warning systems rely on lagging indicators (failed exams, poor attendance) that trigger too late for meaningful recovery. Educators lack visibility into which students need help, what specific learning gaps are causing difficulties, and which interventions would be most effective for each individual. Manual monitoring of student progress is impossible at scale, and generic interventions fail because they don't address individual root causes. Institutions lose students to academic failure who could have succeeded with timely, personalized support.
AI Agents
Platform at a Glance
Comprehensive overview of capabilities, audience, and value delivered
Enterprise Capabilities
27 core functions
Target Audience
8 stakeholder groups
Competitive Edge
10 key differentiators
Value Proposition
10 key benefits