Geo-Q HealthTech

Geo-Q HealthTech is transforming how chronic care is delivered, starting with AI-powered stoma management. Through its digital health platform, the startup provides centralized patient records, digital prescriptions, image-based diagnostics, and predictive care planning tools. Built to reduce hospital readmissions and improve continuity of care, Geo-Q is bringing precision triage and monitoring to clinicians and patients alike—starting with one of the most underserved conditions: ostomy management.

Chronic wound and ostomy care suffers from fragmented data, delayed clinical intervention, and poor adherence—especially in under-resourced settings.

Geo-Q addresses:

Delayed detection of complications

Inefficient coordination between nursing teams and supply chains

Lack of personalized care plans for high-risk patients

Underutilization of patient data in care workflows

Geo-Q’s AI engine supports:

Predictive Analytics: Detect stoma complications early based on patient history

Remote Monitoring: Real-time triage alerts using clinical images and sensor data

Personalized Care Plans: Tailored care pathways automatically generated per patient

AI-Driven Diagnostics: Image-based classification of skin conditions and wound healing

Smart Recommendations: Optimized re-supply scheduling and surgical intervention planning

Post-operative stoma care is one of the most overlooked challenges in African healthcare—leading to preventable infections, avoidable readmissions, and immense patient suffering. Geo-Q HealthTech bridges this critical gap with AI-driven diagnostics and personalized monitoring tools tailored to underserved environments. By digitizing records, predicting complications, and empowering care teams with real-time insights, Geo-Q is helping transform chronic wound care into a data-informed, proactive, and compassionate process—at scale.

B2B SaaS Licensing: To hospitals, clinics, and home nursing teams

B2B2C Partnerships: With stoma product manufacturers and logistics firms

Optional Tiered Direct-to-Patient App: Future freemium health tracking & support

AI Stack

CNNs for image classification (e.g., wound/stoma condition)

Predictive analytics for complications & follow-up care

FHIR-compatible data pipelines for hospital integration

Infrastructure Stack

Cloud-native (AWS-hosted) architecture

Containerized backend with Kubernetes + CI/CD

Real-time monitoring with Grafana + Prometheus

Secure storage: PostgreSQL, S3, and encrypted PHI

GPU Requirements:

Training: A100/V100 (deep learning on image datasets)

Inference: T4 or L4 (real-time skin image triage)

Estimated usage: 200–300 GPU hours/month

Storage & Processing:

2 TB+ cloud object storage for patient image archives

PostgreSQL for structured data

Edge-ready AI for rural deployment (future roadmap)

Geo-Q is building the future of AI-powered stoma care and diagnostics for Africa’s underserved chronic care patients. Support a solution that’s reducing complications, improving continuity, and delivering equitable care through intelligent triage and digital workflows.