Education

Learning management systems, virtual classrooms, student portals, assessment platforms, AI tutoring systems, content management, analytics dashboards, and mobile learning apps for K-12 and higher education.

AI adapts content difficulty, recommends learning paths, identifies struggling students early, provides intelligent tutoring, auto-grades assessments, and generates practice problems tailored to each learner's level.

WCAG 2.1 AA for web accessibility, Section 508 compliance for US federal education, and VPAT documentation. Masarrati ensures all education platforms work with screen readers, keyboard navigation, and assistive technologies.

Yes. Masarrati designs education platforms for peak loads (exam periods, enrollment). We use CDNs, WebSocket connections, auto-scaling, and database optimization to handle 100K+ concurrent users.

Through FERPA compliance (US), GDPR compliance (EU), data minimization, parental consent workflows, encrypted storage, and strict data retention policies. Student data is never used for advertising.

Yes. Where a platform supports LTI 1.3 we build tools that launch inside it with grade passback, so the institution keeps its existing LMS as the front door. Content moves through SCORM or xAPI packages, rostering through OneRoster or the platform's API, and single sign-on through SAML or OIDC against your identity provider. Integrations are tested against a sandbox instance before touching a live cohort.

With layered controls rather than a single mechanism. Question banks with randomised selection and parameterised variants reduce the value of shared answers. Delivery can run in a locked browser with identity verification at the start, session recording where policy allows, and anomaly detection on timing and navigation patterns. Flags are routed to a human reviewer rather than triggering automatic penalties, because a false accusation carries more cost than a missed one.

Yes, with an offline-first design rather than a loading spinner. Course content and assessment papers are cached to the device, responses are queued locally and synchronised when a connection returns, and conflict rules are agreed per record type. Mobile builds are tested on low-end devices and constrained networks, since that is what much of the intended audience actually uses. Sync state stays visible so nothing appears to vanish.

The comparison is rarely licence versus build alone. Licensed platforms carry per-learner fees that scale with enrolment, plus integration and customisation work where the product does not match your academic model. A custom build costs more up front and nothing per seat afterwards. We scope both routes during discovery, including hosting and maintenance, so the decision rests on a modelled cost over several years rather than a headline figure.