AI that respects how Ghanaian schools work

Latest-model routing, curricula tuned against GES expectations, and cost-aware escalation so flagship reasoning is reserved for decisions that merit it — keeping pilots affordable without dumbing-down classroom quality.

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AI lesson plans in under a minute

Draft objectives, formative checks, and differentiation hooks aligned to local expectations. Staff tweak tone and pedagogy — providers never receive gratuitous learner PII.

~18 min

Average draft time savedper lesson skeleton

100%

Human review gatesbefore guardians see content

3 tiers

Models on tapfast, strong, frontier
Lesson planning workspace previewMuted autoplay demo — configure NEXT_PUBLIC_AI_LESSON_VIDEO_URL when the clip is hosted

Early warning signals your leadership can defend

Behavioural cadence and assessment deltas surface as contextual risk tiles — escalation routes stay inside tenant RBAC rather than blasting raw scores to unmanaged channels.

Illustrative heatmap cells — colouring uses Ardent semantic tokens tied to escalating attention, not punitive labelling surfaced to guardians.

AI timetable generator fills the grunt work

Constraint-aware suggestions respect teacher workloads, doubles, labs, and co-curricular blackouts — your registrar approves slot-by-slot before anything publishes.

8:009:0010:0011:0012:0013:0014:0015:00Mon
Tue
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Conversational assistant with guardrails

Scoped to policy libraries and operational FAQs — sensitive student dossiers remain behind existing permissions with redaction previews before outbound calls ship.

Summarise our Form 3 mock prep priorities for PTA night.

Here is a PTA-ready outline anchored to your timetable and policy library: scaffold revision blocks, spotlight attendance streaks above 94%, invite guardians to opt into SMS bursts for mocks only.

Mock UI — integrations respect consent and tenancy flags.

Plagiarism detection where essays matter

Upload-rich assignments run through similarity passes with citations highlighted for adjudicators — part of disciplined academic integrity workflows, not a surveillance headline.

Academic honesty review workspace

Built on audited multi-model stacks

Production routing leverages Claude Sonnet 4.6, Claude Opus 4.7, and DeepSeek V4-Pro / V4-Flash — one of the most cost-aware frontier ensembles when everyday traffic stays on lighter routes. Your school tenancy data stays encrypted; we minimise and redact payloads so gratuitous PII does not accompany provider prompts, with human review queues for escalation cases.

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