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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…

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…
Founded: 2023 (Newcastle University spin-out)
Tech: Logic-Based Networks (propositional logic, binarisation, Tsetlin Machines)
Claims: >50x faster inference and >50x lower energy vs neural networks; typical models <40 KB
Use cases: Edge/CPU/MCU deployment, regulated markets needing explainability, battery-powered devices
Recent funding: £4.6M (~$6.2M) pre-seed (May–Jun 2025)
Making AI inference efficient, explainable, and deployable on edge/CPU/MCU hardware to avoid dependence on GPUs and cloud/datacenter resources.
2023
Data and Analytics
4.6M GBP
Round reported as £4.6M (announced 28 May 2025); co-led by Mercuri with participation from Sure Valley Ventures and Cambridge Future Tech SPV
Crunchbase lists a Pre-Seed round dated 2 June 2025 with Mercuri and Northern Gritstone as lead investors
“Backed by Northern Gritstone, Mercuri, Cambridge Future Tech, and Sure Valley Ventures”
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