Education Development Company That Remembers
Learning Happens in Minds, Not Just Dashboards

Platform development costs depend on complexity and scope. Small projects like basic LMS implementations with standard features typically range from $50,000 to $100,000. Medium-complexity platforms with adaptive learning, custom integrations, and mobile apps fall between $100,000 and $200,000. Large enterprise solutions with AI-powered personalization, comprehensive analytics, multi-tenancy, and extensive third-party integrations start at $200,000 and can exceed $500,000. We provide detailed cost breakdowns after requirements analysis.

We follow a six-phase methodology starting with discovery and stakeholder interviews to map learning objectives and technical requirements. Design and prototyping come next with accessibility validation. Development happens in agile sprints with weekly faculty demos ensuring pedagogical alignment. Quality assurance includes load testing, security audits, and FERPA compliance validation. Deployment involves data migration and faculty training. Post-launch, we provide ongoing support with monthly analytics reviews and feature enhancements based on student outcome data.

FERPA compliance is built into our architecture from day one, not bolted on later. We implement role-based access controls limiting data visibility, encrypt student records both in transit and at rest, establish comprehensive audit logging tracking every data access, and create automated consent management workflows. Our platforms undergo third-party security audits, include parent access controls for K-12, and maintain detailed data retention policies. We also provide compliance documentation supporting institutional audits and accreditation reviews.

A well-architected custom elearning platform includes course authoring with multimedia support, assignment workflows with plagiarism detection, grade center automation, discussion forums, and SCORM/xAPI compliance. Expect adaptive learning paths adjusting to student performance, real-time analytics dashboards, mobile-responsive interfaces, SSO integration, and learning analytics tracking engagement patterns. Advanced platforms incorporate AI-powered recommendations, competency-based progression, automated interventions for at-risk students, peer review systems, and parent portals for K-12. Integration with existing student information systems is standard.

Absolutely. Top digital learning solutions for corporate training focus on microlearning modules enabling quick skill acquisition, video-based training with knowledge checks, interactive simulations replicating real scenarios, and manager dashboards tracking team competency development. Look for platforms integrating with HRIS systems for automated onboarding, certification tracking with expiration alerts, compliance training with audit trails, and mobile learning supporting distributed teams. AI-powered skill gap analysis, personalized learning paths, and training ROI analytics measuring performance improvements are increasingly essential.

Exclusive digital learning solutions are architected specifically for your institutional pedagogy, student demographics, and operational workflows rather than forcing adaptation to generic features. You get custom data models matching your assessment frameworks, integrations with your existing systems without middleware complexity, branding reflecting institutional identity, and features supporting your unique teaching methodologies. Unlike off-the-shelf platforms with feature bloat, custom solutions include only what serves your learning objectives. You own the codebase, control the roadmap, and scale without vendor licensing constraints.

The best platforms for creating custom edtech applications depend on your technical requirements and scale. React Native excels for cross-platform mobile learning apps ensuring identical experiences across iOS and Android. For web-based platforms, React or Angular frontends with Node.js or .NET backends provide scalability. Canvas LMS and Moodle offer solid foundations for extending existing frameworks. AWS or Azure cloud infrastructure supports auto-scaling during enrollment peaks. We recommend technology stacks based on your institution's existing infrastructure, technical team capabilities, and long-term maintenance strategy.

Custom EdTech Software and Apps deliver institutional-specific workflows generic solutions can't accommodate, like unique assessment rubrics, specialized accreditation reporting, discipline-specific learning modules, and integration with legacy systems vendors won't support. You get AI models trained on your student data predicting your dropout patterns, not industry averages. Custom apps support offline learning in low-connectivity environments, complex prerequisite logic matching your curriculum structure, and accessibility features meeting specific student population needs. Most importantly, features evolve with your institution, not vendor roadmaps.

Timeline depends on scope and complexity. Basic LMS platforms with core features typically require 4-6 months from requirements gathering through launch. Medium-complexity platforms with custom integrations, mobile apps, and advanced analytics need 6-9 months. Enterprise solutions with AI-powered personalization, multi-tenancy, extensive third-party integrations, and complex workflows often require 9-12+ months. We align development sprints with academic calendars, ensuring launches happen before semester starts. Phased rollouts let you deploy critical features first while continuing development on advanced capabilities.

Yes, SIS integration is standard in our education platform development. We've built integrations with Ellucian Banner, Workday Student, PowerSchool, Infinite Campus, and proprietary systems. Integration includes bidirectional data synchronization for enrollment, grades, attendance, and demographics. We implement real-time webhooks or scheduled batch processing depending on your SIS capabilities. API documentation, error handling, and data validation ensure reliability. For legacy systems without modern APIs, we develop custom connectors. Integration testing happens with your actual SIS instance, not sandbox environments.

Our platforms meet WCAG 2.1 AA standards as baseline, with AAA compliance available for institutions requiring it. This includes screen reader compatibility, keyboard navigation, color contrast ratios, alternative text for images, closed captioning for videos, and adjustable text sizing. We conduct accessibility audits using assistive technologies, validate against Section 508 requirements, and provide VPAT documentation supporting procurement processes. Universal Design for Learning principles guide our UI/UX decisions. Accessibility isn't retrofitted; it's architected from wireframes through deployment.

Absolutely. Post-launch support includes 24/7 technical monitoring during academic terms, monthly performance optimization reviews, security patch deployment, feature enhancement based on faculty feedback, and semester retrospectives analyzing student outcome data. We provide dedicated support teams familiar with your platform architecture, proactive infrastructure monitoring preventing issues before they impact students, and cost optimization recommendations as usage patterns emerge. Support agreements are flexible, ranging from incident-based to fully managed services where we handle all technical operations.

Yes, our cloud infrastructure auto-scales during enrollment peaks. We architect platforms on AWS or Azure with load balancing, CDN distribution for video content, database read replicas, and caching layers preventing bottlenecks. Load testing simulates 10x current enrollment ensuring capacity. During critical periods like registration or exam weeks, we implement additional monitoring and have engineering teams on standby. Our platforms have handled sudden shifts to fully online learning during emergencies without performance degradation. Scalability isn't theoretical; it's tested and proven.

Platforms include real-time dashboards tracking engagement metrics, completion rates, assessment performance, and time-on-task patterns. Faculty get individual student progress views, cohort comparisons, and early warning alerts for at-risk learners. Administrators access institutional analytics showing program effectiveness, resource utilization, and compliance metrics. Advanced platforms incorporate predictive analytics using machine learning to forecast dropout risk, recommend interventions, and identify curriculum gaps. Custom reports support accreditation requirements. All analytics respect FERPA regulations with appropriate role-based access controls.

Security layers include penetration testing by third-party firms, automated vulnerability scanning in CI/CD pipelines, Web Application Firewall preventing common attacks, DDoS protection, and comprehensive audit logging. We implement security headers, Content Security Policies, and rate limiting preventing abuse. Database encryption, secrets management, and principle of least privilege access control protect sensitive data. Security isn't just FERPA checkbox compliance; it's defense-in-depth architecture. Regular security reviews and incident response procedures ensure ongoing protection against evolving threats.