Trust model
Evidence, review, verification and controlled sharing.
A certificate should point to practical work, not just attendance. A Proof Passport should show what was produced, reviewed and verified.
Trust
Proof only matters when people can trust how it was earned.
Certifiedge connects practical evidence, review standards, certificate verification, privacy controls and organization access rules into one trust system.
Privacy
Learner evidence is handled with clear sharing boundaries. Private work is not exposed through public verification unless the learner or organization workflow permits it.
Read Privacy PolicyTerms
Certifiedge sets rules for accounts, evidence submission, platform conduct, paid access, certificate verification and organization workspace use.
Read TermsEvidence Integrity
Evidence is connected to tasks, labs, assessor review, certificate IDs and Proof Passport records so claims can be inspected.
View Proof PassportCertificate Verification
Verification confirms certificate status, issuing pathway, evidence level and selected record details inside Certifiedge.
Verify CertificateData Protection
Organization dashboards and cohort reports are designed to show useful readiness information without exposing unnecessary private learner records.
For OrganizationsLearner Rights
Learners need clear standards, fair feedback, revision paths, controlled sharing and transparent certificate status.
Learner CodeOrganization Access
Employers and institutions use shared proof records for workforce readiness decisions while responsible judgment remains necessary.
Open Organization RouteAssessment Fairness
Assessment focuses on practical output quality, context, judgment, documentation, improvement and evidence relevance.
Assessment StandardsSupport and Complaints
Certifiedge gives learners and organizations a clear contact route for account issues, verification questions, cohort concerns and review disputes.
Contact SupportVerification limits
Certifiedge verification confirms record status inside the platform. It does not guarantee employment, income, permanent competence or suitability for every role.
AI and originality
AI-assisted work must remain explainable, privacy-aware and reviewable. Learners remain responsible for accuracy, originality, disclosure and judgment.