Literal Labs

Literal Labs is a deep tech startup revolutionizing the field of artificial intelligence by developing a new, logic-based approach to AI algorithms. Unlike traditional neural networks inspired by biology, our technology is rooted in propositional logic, making it far more efficient, streamlined for inference, and dramatically reducing computational complexity and energy consumption. Our models are not only faster and more energy-efficient but also naturally explainable, ensuring accountability for decisions made by the model. This unique approach allows us to address critical challenges in AI, particularly energy consumption, which is a major concern as AI proliferates.

Founded with a mission to build responsible and sustainable AI, Literal Labs is currently in pure creation mode after raising a £4.6M pre-seed round. We are at the forefront of a new generation of AI, focusing on edge computing and other innovative targets. Our technology has shown remarkable performance in benchmarks, achieving up to 54x faster inferencing and 52x lower energy usage compared to optimized neural network models.

We are a team of passionate engineers and researchers who believe in original problem solving and challenging conventional thinking in AI. Our collaborative, remote-first culture embraces fast cycles of feedback and adaptation, ensuring that each failure is a step forward. We are committed to excellence, full-stack thinking, and iterating to converge on the best solutions.

Join us to be part of a positive disruption in the AI industry, helping to shape a future where AI is fast, energy-efficient, and truly beneficial to humanity.