UmkhoAI provides an offline AI platform that runs on edge hardware, delivering multilingual natural‑language processing in all 12 South African official languages. The system offers a public model for citizen use and a private model for government agencies, with secure on‑device processing and RESTful APIs/SDKs for integration into existing services, eliminating the need for internet connectivity.
Funding
Funding not disclosed
Founders
Product
Problem
Many South African citizens and public sector entities lack reliable internet connectivity or cannot afford data costs, preventing them from accessing modern AI services. Existing AI solutions also offer limited support for the country’s twelve official languages, reducing relevance and usability for local users.
Solution
UmkhoAI delivers an offline AI ecosystem that runs entirely on locally hosted hardware, eliminating the need for internet or data plans. The platform includes two distinct models: a public‑facing AI that provides everyday language assistance and productivity tools, and a private AI that enables government departments to develop custom solutions for national challenges. Both models incorporate a multilingual natural‑language processor trained on South African media, enabling fluent interaction in all official languages. Inference is performed on edge devices or local data centers, ensuring low latency and operation in bandwidth‑constrained environments. Results are stored locally with optional encrypted sync to secure servers, maintaining data sovereignty. The system offers APIs and SDKs for integration with existing government and enterprise applications, allowing rapid deployment of AI capabilities across ministries and public services.
Target Audience
The primary customers are South African citizens seeking affordable AI assistance and national government agencies, ministries, and public institutions that require secure, offline AI tools for policy implementation and service delivery.
Features
- Fully offline inference engine that runs on edge hardware or local data center without internet connectivity
- Multilingual NLP core supporting all 12 official South African languages, trained on locally sourced audio‑visual content
- Two model tiers: UmkhoAI Public for citizen‑level use cases and UmkhoAI Private for government‑level custom solutions
- Secure on‑device data processing with optional end‑to‑end encryption for any synchronized data transfers
- RESTful APIs and SDKs for seamless integration with legacy government systems, mobile apps, and enterprise software
- Modular architecture allowing ministries to add domain‑specific AI modules (e.g., health analytics, education assistance) without redeploying the entire stack
- Low‑resource hardware footprint optimized for deployment in remote or under‑served regions