A New Generation of Artificial Intelligence

Literal Labs uses logic-based techniques to generate AI models that are orders of magnitude faster, more energy efficient and explainable than neural networks.

Literal Labs’ models are the fastest way to run AI on the edge

Run low-power, AI models up to 250× faster. And do so on-device and on the edge. Enable new business cases and deployments across a whole range of problem domains.

Anomaly detection benchmarks

54x
faster
52x
less energy
Tsetlin machine inference speed
Inference per second
Tsetlin machine energy use
Energy use
Literal Labs model
Published optimised model

A new logic for AI
A new standard for performance

By building our AI models on a foundation of logic, we’re able to unlock the four key advantages that set logic-based AI apart: ultra-low power use, lightning-fast inference, tiny model size, and explainable AI. These are the metrics that matter most for today’s critical systems—and we’re building for each of them.
More speed

54× faster inferencing with logic-based AI models than neural networks

More energy efficient

Logic-based algorithms can achieve 52× lower energy usage than neural networks

More explainable

Logic-based AI is naturally explainable, ensuring accountability for decisions made by the model

Cost-effective AI
More cost-efficient

Reduce system costs by lowering compute complexity, inference costs, and bill of materials

A logical approach

While capable of handling complex machine learning tasks like neural networks, Literal Labs’ logical approach to AI algorithms offer a refreshing alternative—one that’s faster, more energy‐efficient, and naturally explainable.

Unlike neural networks, which are inspired by biology, our logic-based AI is rooted in propositional logic. This makes it far more efficient, streamlining inference and reducing computational complexity, all while consuming significantly less energy.

Logic-based AI model architecture built by world-leading experts

Supported by

Literal Labs is supported by Newcastle University in the United Kingdom
Silicon Catalyst UK supports Literal Labs
Cambridge Future Tech have invested in Literal Labs

Press features

Tsetlin Machine & AI sustainability Tsetlin machines, energy consumption, and the potential for sustainable AI.
A Step Towards Sustainable AI and Energy Efficiency Revolutionising AI with an energy-efficient, transparent approach.
We're an AI startup to watch Literal Labs featured in EE Times 'Silicon 100,' recognised for pioneering energy-efficient AI.
Strategic Innovations in U.K. AI Startup Leadership How does a startup navigate from the lab to the marketplace?
Call for a 21st Century Industrial Strategy for UK's Tech Ascent "A properly integrated industrial strategy is what will enable British technology startups to truly scale"