Accelerator

Education & Workforce Development

What if education could be truly personalized — adapting to each learner — without turning students into data products? What if professional credentials could travel across borders and employers without months of re-verification?

This Accelerator builds the privacy-preserving infrastructure to make that real.

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Members

Affiliates

2018

Since

Education

Vertical

Problem

The Problem

Education and workforce systems are caught in the same trap as healthcare and finance: to personalize, you need data. To protect data, you sacrifice personalization. Students generate learning data across dozens of platforms, schools, and programs — but none of it connects. Workers earn credentials that don’t transfer. Training outcomes stay locked inside individual organizations.

The result: education stays generic, credentials stay fragmented, and the people who would benefit most from personalized learning and portable qualifications — career changers, immigrants, rural students — are the ones least served.

Practice

What This Looks Like in Practice

AI Tutoring Without Surveillance

A student uses an AI tutor that adapts to their learning style, pace, and knowledge gaps — drawing on their complete academic history across every school they’ve attended. But no school, platform, or vendor sees the full picture. The student’s Personal Privacy Network holds their learning profile. The AI works inside it. The student gets truly personalized education without becoming a data product.

Workforce Credentials That Travel

A nurse trained in the Philippines moves to Hawaii. Today, she spends months re-proving her qualifications to each employer, licensing board, and insurance credentialer — each with their own forms and verification process. With privacy-preserving verifiable credentials, her qualifications are verified once and accepted everywhere — without exposing her immigration status, personal history, or anything beyond what each party needs to see.

Cross-Organization Training Intelligence

Three hospital systems pool their anonymized training outcomes to build a shared AI model that predicts which onboarding approaches reduce staff turnover. None of them share employee data with each other. The Privacy Network lets them collaborate on workforce intelligence without any organization seeing another’s people.

The patented technology to build these exists. This Accelerator is where the teams come together to make them real.

Ecosystem

Part of a Larger Ecosystem

Education & Workforce Development connects naturally to other EP3 Accelerators:

Lōkahi Healthcare — workforce credentials for healthcare professionals across Hawaii’s health system.
Proof of Trust Accreditation — independent verification that credentials and certifications are legitimate.
Quantum Privacy & AI — the underlying privacy infrastructure that makes cross-organization learning data collaboration possible.

LabLab.ai — a global community of over 250,000 AI builders — managed the inaugural Lōkahi Healthcare Hackathon and provides a direct pipeline for workforce development in privacy-preserving AI.

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Educators, edtech companies, workforce development organizations, credential issuers, and AI researchers — help build education and training systems that personalize without surveilling.

Two ways to participate. Apply to join the Accelerator to build AI-powered learning that respects student privacy, create portable privacy-preserving professional credentials, and develop cross-organization workforce intelligence. Or record your contributions through QPN Catalyst — no signup required.

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Who's behind it