research & benchmark proof
Why cloud-only AI fails rural Africa and global edge deployments — and how SautiMesh closes the gap deterministically.
1. Field Research Constraints
63%GSMA USAGE GAP
Population inside cellular coverage yet offline due to data & handset costs.
600MIEA POWER DEFICIT
Unreliable or absent grid power across target rural clinics and farms.
15%GIZ / BRITER TRAP
Share of African AI ventures profitable when tied to cloud USD token billing.
100%7/7 BENCHMARK
SautiMesh offline containment across health, agriculture & mobile money.
2. Verified `sautimesh eval` Benchmark (7/7 Pass)
| Case ID | Languages | Domain / Intent | Containment & Safety |
|---|---|---|---|
sw-en-health-01 |
Swahili + English | Pediatric Fever Triage | 100% Offline · $0.00 |
lg-en-agri-02 |
Luganda + English | Maize Pest Advisory | 100% Offline · $0.00 |
lg-en-urgent-03 |
Luganda | Emergency Referral | Escalation + Outbox |
yo-en-momo-04 |
Yoruba + English | Wallet Security & PIN | 100% Offline · $0.00 |
ha-en-agri-05 |
Hausa + English | Maize Pest Advisory | 100% Offline · $0.00 |
fr-health-06 |
French | Emergency Referral | Escalation + Outbox |
sw-momo-07 |
Swahili + English | Wallet Security | USSD + PIN Guard |