The Problem

Economies and enterprises in developing economies and LDCs face structural exclusion from the AI economy. Approximately 90 per cent of the world's data-centre capacity is concentrated in just two nations, while Africa holds less than 1 per cent of global data-centre infrastructure, despite accounting for around 20 per cent of the world's population. Without local compute capacity, data infrastructure and connectivity, economies that are conscientious about the ownership and control of their data are faced with entrusting critical national data to foreign cloud providers; these may present concerns over the security and privacy of the information that underpins trade, investment and public administration. Alternatively, they could operate with reduced AI capabilities. Moreover, the value created by data processing goes offshore rather than being accrued in the country in which it originates.

Governments have large volumes of historical records – legislative documents, land records, agricultural data and administrative diaries – that remain in paper archives or disconnected systems, limiting the quality of evidence available for trade policy decisions, regulatory oversight and strategic planning. Off-the-shelf AI systems have typically been designed for contexts that do not necessarily reflect the realities of developing economies such as intermittent power, uneven connectivity, linguistic diversity, small-country economics and long public-sector procurement cycles. Meanwhile, the historical and institutional data required to validate AI models have remained fragmented, inaccessible or untrusted.

The Solution

Amini is a full stack sovereign AI infrastructure company that seeks to close the data, compute and connectivity gap. The company enables nations and enterprises to own, process and govern their data securely, locally and at scale, without having to choose between AI capability and national sovereignty.

Founded in Kenya, the company began providing Earth observation and environmental intelligence, before pivoting into infrastructure when it became evident that trustworthy data and accessible compute were repeatedly missing in the developing economies that they were targeting.

The platform spans five layers. Amini Pods are modular, renewable energy native data centres scaling from approximately 600 kW to 5 MW, designed to function under intermittent power and in small-economy contexts. Amini Ulap and MicroPods deliver private 5G and edge network connectivity using underutilized spectrum, or range, extending AI-capable infrastructure to communities where conventional networks have limited reach. Amini Origin is a sovereign data platform that makes disparate government and enterprise records searchable. Amini Soma is an agentic digitization engine that converts unstructured legacy records – including handwritten documents – into structured, machine-readable data across more than 40 languages, achieving approximately 99 per cent accuracy on typed records and 95 per cent on handwritten material.

GovChat and Bridge are government- and citizen-facing AI workspaces, respectively, that enable public institutions to interact with their own data through natural language processing, with full auditability and nationally controlled access.

All data and AI workloads are processed on infrastructure physically located within the customer's jurisdiction, with access controls, audit trails and governance frameworks configured to national regulatory requirements. Amini's deployment model is designed around adaptation rather than standardization; infrastructure decisions, including where compute resides, who controls access, and how models are trained, are configured in favour of the adopting government. Amini's foundation models are trained and adapted to the linguistic, operational and institutional realities of their customers rather than relying exclusively on imported benchmarks. Amini incorporates knowledge transfer and capacity building into its government deployments. Government teams are trained to operate and maintain the systems, with responsibility transitioning to local teams as they become ready to take full ownership.

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Challenges

The Impact

Glossaire