Literal Labs
Literal Labs is an AI algorithm company that utilizes logic-based techniques to create AI models that are significantly faster, more energy-efficient, and more explainable than traditional neural networks. Their proprietary logic-based AI models are designed to replace GPU-heavy algorithms that are too large, expensive, and energy-intensive. These models are particularly suited for companies operating in regulated markets where AI explainability is critical, or for those developing battery-powered products requiring more efficient AI. The company was founded in 2023, spinning out from Newcastle University, by leading experts in logic-based AI, Dr. Alex Yakovlev and Dr. Rishad Shafik, and is led by former Arm CPU division VP and semiconductor startup founder. They aim to make AI run at the edge, independent of cloud connectivity and data centers, focusing on speed, explainability, and economic/energy efficiency.
Literal Labs
Literal Labs is an AI algorithm company that utilizes logic-based techniques to create AI models that are significantly faster, more energy-efficient, and more explainable than traditional neural networks. Their proprietary logic-based AI models are designed to replace GPU-heavy algorithms that are too large, expensive, and energy-intensive. These models are particularly suited for companies operating in regulated markets where AI explainability is critical, or for those developing battery-powered products requiring more efficient AI. The company was founded in 2023, spinning out from Newcastle University, by leading experts in logic-based AI, Dr. Alex Yakovlev and Dr. Rishad Shafik, and is led by former Arm CPU division VP and semiconductor startup founder. They aim to make AI run at the edge, independent of cloud connectivity and data centers, focusing on speed, explainability, and economic/energy efficiency.