
Nigerian artificial intelligence startup Alchymia AI is exploring a different approach to personal computing with a pocket-sized device designed to project a holographic interface while reducing dependence on conventional cloud infrastructure.
Known as the Alchymia Bar, the device is being developed as a compact computer without a traditional physical screen. Instead, it is designed to use light projection to create an interactive interface, allowing users to access applications and work with three-dimensional digital content.
The concept reflects a broader ambition to make artificial intelligence more accessible by reducing the hardware, energy and infrastructure typically associated with advanced computing.
Alchymia AI, founded by Ayomide Daniels, is pursuing this approach through the development of AI models designed to operate with lower computing and energy requirements. The company’s strategy centres on building efficient AI architectures rather than relying entirely on the large server clusters commonly used by cloud-based AI services.
One of its models, Regent, is designed to operate with a fixed memory footprint and retrieve information when needed. Another model, Darkhorse, uses adaptive computation to adjust processing depth according to the complexity of a task. These approaches aim to reduce the resources required to generate AI responses and make local computing more practical.
For the Alchymia Bar, this could mean bringing AI-powered capabilities closer to users without requiring every task to be processed by remote data centres. However, the device’s eventual performance will depend on its hardware, software capabilities and the range of tasks it can execute locally.
The proposed device also introduces a different way of interacting with computers. Instead of depending on a conventional display, users would interact with projected digital content. This could create new possibilities for visualising information, manipulating three-dimensional objects and managing digital workflows in a portable format.
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