Investor Inquiries

Sauti Care uses Wav2Vec2.0 for speech recognition, Multilingual BERT for NLP, Random Forest for triage algorithms, and XGBoost for fraud detection. All models are optimized for edge deployment with sub-200ms latency.

We are in pilot phase with partnerships signed at 8 facilities (3 Level 4 hospitals, 2 dispensaries, 3 private hospitals). MVP achieved 90% healthcare worker adoption in initial pilots. Ready for Series A scaling.

Break-even projected at Month 18 post-launch with conservative unit economics (Sh40 per triage vs Sh150 traditional cost). Scaling to 25 facilities reaches Sh100M annual revenue by Year 2. Sh1.2B+ revenue by Year 5.

Main competitors are paper-based triage, basic digital forms, and international telemedicine platforms (which lack local language support). Sauti Care's voice-first + fraud detection + African focus is unique in the market.

We have ethics approval from KEMRI/KNH, protocols endorsed by Kenya Medical Association, and are pursuing ISO 27001 certification. Kenya Pharmacy and Poisons Board assessment underway. Compliant with Kenya Data Protection Act 2019.

We use edge computing—patient data stays on local devices and syncs securely when connection available. Voice recordings can be processed offline. All data is AES-256 encrypted. Never stored unencrypted.

Series A: Sh50-150M for 5-10% equity. Use of funds: 40% product development (new languages, chest X-ray integration), 35% sales & expansion, 15% team hiring, 10% ops/infrastructure. 18-month break-even.

Monthly bias audits, 50% female voice training data, representative sampling across age/geography/ethnicity, external ethics reviews quarterly, maintained human override capability, monthly transparency reports.