AI has a problem. We've fixed it logically.
Literal Labs makes it possible to deploy powerful AI without GPUs, without data centres, and without sacrificing accuracy. Our training platform, ModelMill, produces Logic-Based Networks: a fundamentally different class of AI that is fast, energy-efficient, explainable, and deterministic.
Today's AI is expensive, power-hungry, and difficult to trust. Deploying it at the edge — in an industrial sensor, a vehicle, a water network — demands hardware most operators don't have. And when a model does make a decision, it frequently cannot say why. In regulated industries, that is not a footnote. It is a barrier.
Literal Labs was founded to solve all three problems at once. Not by optimising existing AI, but by replacing the algorithm entirely.
The result is Logic-Based Networks. Trained through ModelMill, LBNs run on any 32-bit processor without GPUs, without data centres, and without compromise on accuracy. They are fast, energy-efficient, inherently explainable, and fully deterministic. The same input always yields the same output.
Spun out of Newcastle University in 2023, Literal Labs is on a mission to be the world leader in compute and energy-efficient AI.
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Literal Labs Duns / D-U-N-S number: 230470826
Companies House number: 14746541