$1.30/student/term.
+38% quiz lift.
92% retention.

$1.30 per student per term. +38% quiz score improvement. 92% weekly retention. A fully documented, audited, and replicable offline AI education model ready for grant funding at scale.

§ 01Grant‑ready evidence pack

Every claim is backed by data from our live pilot in Nansana, Uganda. The evidence pack includes:

• Methodology note — detailed description of the offline AI architecture, curriculum, and evaluation framework.
• Anonymised session logs — raw interaction data from 150 students over 8 weeks.
• Quiz score deltas — per‑student baseline and post‑test results.
• Cost breakdown — unit economics at cohort level (hardware, curriculum, staff, admin).
• Audited accounts — Akaalo Ltd (Uganda URSB, Ireland CRO) financial statements.
• Entity documentation — registration certificates, board composition, governance.

The pack is updated quarterly and available to verified funders on request.

§ 02Outcomes & measurement

We measure what matters for employability:

• Skills acquisition — pre‑/post‑quiz scores on ICT competencies (Word, Excel, email, filing).
• Attendance & retention — weekly session logs showing consistent engagement.
• Cost‑per‑outcome — $1.30 per student per term, fully loaded.
• Gender parity — 50% female participation in the pilot cohort.
• Device utilisation — hours of learning per device, demonstrating scalability.

All metrics are generated automatically by the Nambi platform and exported as CSV for independent verification.

§ 03Budget breakdown

The $1.30 per student per term comprises:

• 54% — Curriculum development and AI operations (model fine‑tuning, retrieval engine maintenance).
• 22% — Hardware amortisation (devices over a 3‑year lifespan).
• 16% — Local programme staff (onsite coordinator, technical support).
• 8% — Administration and reporting (grant management, financial audits).

There are no ongoing internet costs. Hardware is the primary scaling constraint; each $50 device serves ~150 students per term.

§ 04Reporting & deliverables

We align reporting with funder requirements:

• Quarterly outcome reports — student attendance, quiz scores, session logs.
• Financial reports — audited accounts, budget‑vs‑actual analysis.
• Narrative reports — qualitative feedback, case studies, photographs.
• Ad‑hoc requests — custom data exports, site visits, due‑diligence calls.

All reports are delivered in PDF + CSV format, with raw data available for independent analysis.

§ 05Funding opportunities

We are seeking grant funding for:

• Scale‑up — expand from 150 to 1,500 students across 10 vocational training centres.
• Curriculum expansion — develop trade‑specific modules (carpentry, tailoring, hairdressing) with integrated digital skills.
• Language localisation — extend AI capabilities to Luganda, Swahili, and Acholi.
• Health & agriculture pilots — adapt the offline AI engine to deliver health‑worker training and smallholder farmer guidance.
• Research partnerships — collaborate with universities on learning science, AI efficacy, and gender‑inclusive design.

Grant sizes from $10,000 to $250,000 are considered. Multi‑year partnerships are preferred.

§ 06Process & timeline

From inquiry to grant execution:

1. Inquiry — submit a brief via the form below. We respond within 48 hours with a tailored evidence pack.
2. Due diligence — schedule a 30‑minute call with our grants team. We share audited accounts, entity docs, and methodology.
3. Proposal — we co‑create a proposal aligned to your funding priorities, outcomes, and reporting cycle.
4. Approval — once approved, funds are disbursed in tranches linked to milestones (e.g., student enrolment, quiz completion).
5. Reporting — quarterly outcome reports, financial statements, and raw data exports. Site visits welcomed.

Typical timeline: 4–6 weeks from inquiry to first disbursement.