YAP Credentialing
Traditional language certificates are single-point-in-time snapshots that do not reflect continuous real-world speaking ability or learning progress.
YAP replaces brittle one-off certificates with living, verifiable transcripts. Every verified learning interaction writes a compact, tamper-evident proof on the Sei blockchain so credentials become dynamic records of speaking, listening, and writing proficiency. Employers and schools can verify not only current ability but learning trajectory, consistency, and specific strengths, while learners own portable proof they can share.
YAP solves this with living credentials. Every verified learning interaction is represented by a compact, tamper-evident proof on the Sei blockchain, creating an immutable transcript of a learner’s journey. Each completed lesson writes a concise on-chain entry that reports normalized performance across speaking, listening, and writing, plus a timestamped link to the off-chain evidence. Rather than a single moment-in-time certificate, YAP delivers a dynamic, auditable record that reflects proficiency trends and current skill levels.
Sei’s ultra-low transaction costs make this practical at scale. YAP sponsors verification transactions so learners never pay gas, and we optimize on-chain footprint by recording compact proofs (cryptographic hashes or Merkle roots) while keeping raw audio and evaluation artifacts off-chain and private. The result is credential granularity that employers, schools, and learners can trust without compromising privacy or affordability.
This credential framework benefits everyone. Learners own a portable, verifiable transcript they control. Educators see rich, longitudinal evidence of student progress and can tailor interventions. Employers verify not only current ability, but trajectory, consistency, and specific strengths. Researchers and platform partners gain aggregate insights into what teaching methods work, without exposing personal data. In short, YAP turns credentials into living evidence that can be trusted in hiring, admissions, and professional development.
The above image is a mock credential. All information is subject to change.
Learners • Portable, auditable transcript of progress rather than a single exam score. • Proof tied to daily learning, shareable with employers and schools. • Privacy controls and optional selective disclosure for interviews or applications.
Educational institutions • Longitudinal evidence of student progress, not just a single test score. • Cohort analytics and early-warning signals for intervention. • API access to verifiable credentials with role-based privacy controls.
Employers • Verify candidate language proficiency and trajectory quickly with one click. • Assess consistency, trajectory, and specific skill strengths rather than a single point on a resume. • Reduced hiring friction and better matches for language-critical roles.
Researchers and partners • Aggregate, anonymized learning patterns to inform pedagogy. • Option to run controlled experiments with consented cohorts. • Data contracts that preserve privacy while enabling meaningful insights.
How it Works
Practice — Learner completes a speaking lesson with AI-guided assessment.
Verify — System runs liveness, voiceprint, and AI fluency checks.
Compact proof — A compact cryptographic proof (hash, Merkle root, or ZK attestation) is produced.
Write — The compact proof and essential metadata are written to the Sei blockchain. Raw artifacts stay off-chain with tamper-evident pointers.
PoLL credential — The learner’s transcript updates and a shareable PoLL credential card is available.
Verify — Employers or schools click the credential, resolve the on-chain proof, and optionally request selective disclosure.
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