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This area contains proprietary AI models, prototypes, and experimental tools available to authorized partners and clients.
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Below you'll find our proprietary AI models and tools — ready for customization and deployment. Each model can be tailored to your specific business context, data, and requirements.
Voice-enabled, AI-powered chatbot with local African language capabilities. Supports Twi, Hausa, Yoruba, Swahili, and Akan with real-time speech-to-text and natural language understanding. Deployable as customer service agent, health information assistant, or government service interface.
Machine learning system for health insurance claims verification. Detects fraudulent patterns, flags anomalous submissions, and scores claim integrity in real-time. Battle-tested with Ghana's NHIA. Customizable for any insurance vertical.
Intelligent document processing pipeline that extracts, classifies, and validates information from unstructured documents — invoices, receipts, medical forms, government filings. Supports OCR for handwritten text and African language documents.
Alternative credit scoring model using mobile money patterns, behavioral signals, and non-traditional data. Designed for populations without formal credit histories. Enables financial inclusion for previously unbankable individuals and SMEs.
Computer vision model for crop disease detection via smartphone. Farmers photograph affected crops; the model identifies the disease and recommends treatment. Trained on African crop varieties with offline-capable inference.
AI-powered emergency response optimization system. Predicts demand patterns, optimizes dispatch routing, and reduces response times using real-time data integration. Extension of the First Emergency Responders Project.
AI-powered business assistant for small and medium enterprises. Manages inventory tracking, basic accounting, customer relationship management, and provides business insights — all via conversational interface in local languages.
ML system that identifies tax evasion patterns, customs fraud, and revenue leakage for government agencies. Pattern recognition across financial datasets to surface irregularities that human auditors miss.
Contact us to discuss how these tools can be adapted to your specific business context, data environment, and requirements.
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