Real-time transparent communication between families and Ebola centers to prevent violence
Families in eastern Congo cannot retrieve bodies of Ebola victims from treatment centers due to contagion protocols, clashing with cultural burial traditions and sparking violent attacks on hospitals.
RiteBridge provides a secure mobile channel for families to receive verified updates about loved ones in treatment, submit culturally important requests for body preparation, and arrange mediated handovers or proxy attendance. The platform reduces rumors and attacks by creating verifiable transparency between communities and medical teams.
Young men and families of Ebola victims in conflict-affected regions of eastern Democratic Republic of Congo
AI-powered translation layer between local languages and medical French/English plus built-in de-escalation scripts and conflict-resolution workflows designed specifically for eastern DRC contexts.
professional
OTP authentication with role-based access for families and health workers
Real-time status dashboard for each family member in treatment
Submit specific burial tradition requests with medical approval workflow
End-to-end encrypted chat between families and designated liaison officers
Secure viewing of approved photos and videos with consent controls
One place to receive death certificates and official documents
Real-time translation for Lingala, Swahili, French and English
Route urgent cultural conflicts to senior mediators or NGOs
Dashboard showing common cultural requests and tension patterns
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| phone | text | No |
| name | text | No |
| role | text | No |
| health_zone | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| family_id | uuid | No |
| patient_name | text | No |
| treatment_center | text | No |
| status | text | No |
| created_at | timestamp | No |
| resolved_at | timestamp | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| case_id | uuid | No |
| request_type | text | No |
| description | text | Yes |
| status | text | No |
| response | text | Yes |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| case_id | uuid | No |
| sender_id | uuid | No |
| content | text | No |
| translated_content | text | Yes |
| created_at | timestamp | No |
/api/casesRegister new family member in treatment
/api/requestsSubmit cultural accommodation request
/api/messagesSend message to liaison or family
/api/cases/{id}/statusTreatment center updates patient status
/api/documentsDownload official documents and certificates
3 active cases, no video
None
Per treatment center
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 380 | 11% | $1,463 | $17,556 |
| Month 6 | 3,100 | 13% | $13,910 | $166,920 |
Secure, transparent communication between Ebola treatment centers and families to prevent mistrust and violence.
Secure pilot agreements with two Ebola treatment centers (one in Beni, one in Goma) by offering free Center tier for 6 months. Identify young men from affected families through community health workers to become first Family tier users. Use existing relationships with local peace committees to validate the de-escalation features.
Strong in global health data collection
Not built for family-facing cultural negotiation
Family-first design with cultural request engine and de-escalation focus
Unique dataset of cultural requests vs medical feasibility from eastern DRC outbreaks that improves AI recommendations over time
Recurrent Ebola outbreaks since 2018 have shown consistent pattern of violence at treatment centers. Rising mobile money adoption (Flutterwave, MPesa) now makes micro-payments realistic for families.
Medical data privacy concerns under DRC law
Store minimal identifiable data, use consent-first architecture, consult ICRC legal team
Treatment centers resist additional tools
Start with centers that already have high attack rates and need solutions
Poor internet in remote areas
Robust offline queuing with sync when connected
Success: Clear identification of 5+ repeatable cultural requests
Success: Reduction in family inquiries by 40% and positive feedback from 75% of users
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