aime
aime's novel IP

is the collective term for the novel intellectual property developed inside aime — the curriculum-aware reasoning, pedagogical policy, education-tuned models, agentic orchestration and knowledge architecture that together resolve what should be taught, what has been taught, what has been understood, and what should happen next across every learner, teacher, classroom and institution.

Framework

Four questions, continuously answered

​ is the umbrella for aime's novel IP — the capability stack that resolves the four foundational questions every education system must answer.

Q.01
PAST → PRESENT

What should be taught

Curriculum intent across standards, learning outcomes and institutional context.

Q.02
PRESENT

What has been taught

An observable record of delivery — across teachers, classrooms and modalities.

Q.03
PRESENT → FUTURE

What has been understood

Continuous signal of learner comprehension, mastery and conceptual fluency.

Q.04
FUTURE

What should happen next

Adaptive next steps for every learner, teacher, classroom and system.

Dimensions of the category

Four intelligences, one layer

Educational intelligence is not a single signal. It is the composition of four distinct intelligences — each a substrate the category must address.

Teacher

Teacher intelligence

Understanding how teachers actually plan, deliver, adapt and assess — at the granularity of practice, not the abstraction of policy.

Curriculum

Curriculum intelligence

Curriculum represented as structured, machine-reasonable intelligence — not as static documents trapped in PDFs and portals.

Pedagogy

Pedagogical intelligence

An explicit, auditable understanding of what effective teaching looks like in context — encoded as policy a system can reason over.

Learning

Learning intelligence

Continuous visibility into learning progression at the level of the individual, the cohort and the system.

The four intelligences describe what the category contains. How aime composes them — the models, knowledge architecture, policy engine and orchestration — is described under the Operating System and shared in depth under NDA.

Why a category

Application-level AI cannot answer system-level questions

Individual AI applications optimise narrow tasks for individual users. They do not, and cannot, resolve the four questions at the level of a class, a school, a curriculum or a nation.

​ requires a different posture: curriculum-aware reasoning, persistent knowledge architecture, pedagogical policy, agentic orchestration and infrastructure that operates wherever learning happens.

See how it is built