EdTech is reshaping how we learn and teach
The reality? Educational institutions that don't leverage AI will fail their students and stakeholders.
Fixed-time, fixed-budget AI solutions for education
We're not another EdTech vendor with complex implementations. We deliver working solutions.
See how students learn, not just what they score - Real-time learning progress tracking - Engagement and participation analysis - Learning pattern identification - Skill gap detection and mapping - Comparative cohort analysis - Improve learning outcomes by 25-40%
Intervene before students fail - At-risk student early warning systems - Dropout prediction and prevention - Course success probability modeling - Intervention recommendation engines - Advisor caseload prioritization - Increase retention rates by 15-25%
Every student gets the right content at the right time - Adaptive learning path generation - Content difficulty optimization - Learning style accommodation - Prerequisite knowledge assessment - Personalized resource recommendations - Pacing optimization for mastery
Modern learning experiences for modern learners - Next-generation LMS development - Mobile-first learning applications - Video learning with AI engagement tracking - Gamification and badging systems - Social learning and collaboration tools - Microlearning delivery platforms
Free educators to focus on teaching - Automated grading for essays and assignments - Attendance tracking and reporting - Scheduling and resource optimization - Transcript and credential automation - Compliance reporting automation - Reduce administrative burden by 50%
Data-driven institutional decisions - Institutional effectiveness dashboards - Accreditation reporting automation - Enrollment and retention analytics - Faculty performance insights - Financial aid optimization - Benchmark comparison tools
From assessment to EdTech roadmap - Digital maturity assessment - Learning technology strategy - Vendor evaluation and selection - ROI modeling and business case - Change management for faculty adoption - Implementation planning
Fixed 4-week sprint delivery for working products - Learning management systems - Student portals and mobile apps - Assessment and testing platforms - Administrative dashboards - LMS/SIS integrations - Cloud deployment with education-grade security
Custom AI in 4-week sprint cycles - Student success prediction models - Learning analytics and engagement scoring - Automated essay grading (NLP) - Personalized recommendation engines - Enrollment prediction - Resource optimization models
Challenge: - 35% first-year dropout rate - Advisors overwhelmed with caseloads - No early warning for struggling students - Generic interventions with low effectiveness
di-factory Solution:
Phase 1 - Consulting (4 weeks) - Student success assessment - Data inventory and integration planning - Intervention strategy development
Phase 2 - MVP Development (4 weeks) - Student success dashboard for advisors - Early alert notification system - Student self-service portal
Phase 3 - AI Enhancement (4 weeks) - At-risk student prediction model - Intervention recommendation engine - Personalized learning path suggestions
Expected Results: - 25% reduction in first-year dropout - 50% improvement in early intervention rates - 40% increase in advisor efficiency - 30% improvement in student satisfaction - Significant annual savings from improved retention
Prove value with a focused initiative - Single solution implementation (4 weeks) - One department or course pilot - Measurable impact on key metrics - Ideal for: Risk mitigation, stakeholder buy-in
Comprehensive EdTech deployment - 8-12 week program with multiple AI solutions - Integration across institutional systems - Full impact realization - Ideal for: Strategic initiatives, accreditation prep
Multi-campus standardization and scaling - Dedicated team and platform - Rolling sprints across campuses - Best practice sharing and training - Ideal for: University systems, K-12 districts
4-week sprints ยท GO/NO-GO memo your board can sign - Digital maturity assessment across enrollment, instruction, operations - LMS/data infrastructure diagnostic - Student-success program benchmark vs. peer institutions - Data readiness for analytics + ML - Learning-analytics roadmap
4-week sprints ยท production-ready, your team owns the code - Student self-service portal - Faculty/advisor productivity console - Admissions + enrollment workflow - Adaptive-learning module front-end - Alumni + fundraising portal
2โ4 weeks per model ยท your data, your infra, your team learns alongside - Student-success + dropout risk prediction - Personalized learning-path recommender - Enrollment forecast + yield optimization - Grade prediction + intervention scoring - Faculty-scheduling optimization - Coordinated model suite (6โ8 weeks ยท 2โ3 models with shared eval harness)
Every engagement is fixed timeline, fixed scope. Code + models + docs delivered to your team. Investment sized to your data + integration reality โ shared on the first call.
With di-factory, you can: - Identify struggling students before they fail - Personalize learning for every student - Automate administrative burden - Compete with EdTech leaders
The institutions that embrace AI now will define the future of education.
Ready to accelerate your EdTech journey?
Website: di-factory.biz Email: contact@di-factory.biz Phone: +52 55 1357 0947 LinkedIn: linkedin.com/company/difactory
Fixed time. Fixed budget. Real results.