A global verification layer for human capability and learning
A neutral, AI-driven framework for evaluating learning on merit — making skills transparent, comparable, and trusted worldwide.
This is infrastructure that will still make sense in 100 years.
Transparent infrastructure for workforce development, skills visibility, and evidence-based policy.
Create verified courses, certify skills, and build trust with AICE-aligned credentials.
Get your skills recognised on merit, build portable credentials, and prove what you know.
Every course and assessment is tagged with exactly one primary domain and up to two secondary domains, enabling cross-disciplinary learning recognition.
When learning spans multiple domains, AICE calculates a Knowledge Fusion Score — recognising the value of cross-disciplinary expertise. A learner studying "Mathematics + Computing" or "Language + Social Sciences" builds verifiable fusion events that demonstrate interconnected understanding.
All learning content is evaluated and assigned to one of five complexity bands, ensuring fair and consistent comparison across sources.
Foundational awareness & recall
Core understanding & concepts
Practical application & skills
Synthesis & problem-solving
Evaluation & mastery-level judgment
Detailed mappings, distinctions, and cross-system equivalencies for the AICE framework.
Transparent, auditable, and academically grounded. Every number has a derivation.
A standardised unit of learning effort and complexity. AICE Points are calculated by AI based on content depth, time investment, and assessment rigour.
Points are assigned by analysing learning materials, not self-reported. The AI evaluates cognitive load, prerequisite knowledge, and practical application depth.
10 AICE Points from any source represents the same learning effort. A course from a university and a practical workshop are measured equally.
Points accumulate over time across domains. Your learning portfolio grows continuously, reflecting lifelong skill development.
AI-enforced standards ensure all titles are honest, comparable, and free from misleading claims.
Canonical titles describe learning scope and level — never authority, permission, or outcomes.
Across the world, governments and organisations face the same structural challenges:
As a result, talent is underutilised, reskilling is inefficient, and opportunity is unevenly distributed.
Learning content is analysed using AI to assess complexity, learning effort, and skill depth. No judgement is made on the background of the creator or learner.
Anyone can contribute learning material. A skilled mechanic, nurse, or technician can share knowledge just as a university can.
AICE recognises that learning is ongoing. Credits are modular, stackable, and updateable over time.
All evaluations are transparent, auditable, and adjustable. AI assists measurement; it does not make opaque decisions.
AICE is measurement infrastructure, not a regulator.
AICE is designed as a progressive verification system.
Our current focus is on transparent, independently verifiable records of professional learning and progression.
Public verification pages allow employers and institutions to confirm the authenticity of major professional milestones, while clear eligibility rules ensure ledger verification is applied proportionately.
Identity verification may be introduced selectively in the future where appropriate, but is not required for general participation.
AICE prioritises verification of professional outcomes. Identity verification is applied selectively where proportionate and necessary.
Every public course page includes an AI assistant that answers questions about the certificate or course using stored AICE evaluation data.
We invite governments to participate in observed pilot programmes — not accreditation.
No legal changes
Clear metrics
Digital scale
All learning
AI-native
AICE follows a phased and proportionate approach to verification.
Initial implementation focuses on public verification pages that allow employers and institutions to independently confirm the authenticity of professional milestones. Ledger attestation is applied selectively to significant achievements, ensuring high-signal verification without unnecessary complexity.
Eligibility rules are configurable by administrators, ensuring governance flexibility. Identity verification is not required for general participation and may only be introduced for high-stakes use cases where proportionate.
AICE applies verification where it adds trust, not friction.
View Full Execution PlanAll AI decisions are explainable and auditable
AICE measures; it does not regulate or endorse
Learners own their data and credentials
Scoring logic is documented and reviewable
The governing philosophy of AICE's AI architecture.
AICE's master orchestration agent
Luna routes content through the scoring pipeline, coordinates specialist agents, and manages the audit trail — but executes no irreversible actions herself.
Intelligence is centralised in Luna's orchestration layer. Execution is decentralised across deterministic systems and human-approved workflows. This separation ensures that AI enhances decision-making without becoming an unchecked authority.
All classification, extraction, and scoring agents run at temperature 0 for deterministic, reproducible results across identical inputs.
Every agent's system prompt is version-controlled in the database. Changes require governance approval and create an immutable audit trail.
AI agents can recommend, classify, and score — but cannot mint certificates, write to the verification ledger, or execute irreversible actions without human or deterministic system authorisation.
A dedicated explainability agent (temperature 0.3) translates technical scores into human-readable rationale, ensuring every decision can be understood and challenged.
"AI advises. Humans and deterministic systems execute."
We envision a world where skills are recognised on merit, regardless of where or how they were learned. Where a self-taught developer, a vocational nurse, and a university graduate are measured on the same transparent scale.
International Standards Framework
1 AICE Point = 1 Notional Learning Hour
This is the foundational unit of the IACS framework. Every certificate, qualification, and professional credential in the system is built on this single atomic unit — a verified hour of level-appropriate learning.
Qualification Pathway
Credit Accumulation
AICE Points accumulate into recognised qualification tiers
Whether you're a government exploring pilots, an organisation creating courses, or a learner building your portfolio — AICE is ready.