Literal Labs is an AI algorithm company developing AI models for Edge and Industrial use cases.

The company has developed logic based AI Models that offer up to 50x faster inference and 50x lower energy consumption, are natively explainable, with no requirement for specialist accelerators. This gives the company a unique proprietary technical advantage over existing neural network models. In addition the company has built a highly automated, cloud-based training platform called ModelMill that enables our customer’s engineers to create, train and deploy their own custom AI models without needing to be an AI or Data expert. This puts our customers in control of the AI models they produce ensuring they create the right model for the right task and within budget.

Spun out of Newcastle University, the team has completed eight proof-of-concept deployments across utilities, automotive and logistics. Literal Labs is focusing on Industrial markets and more specifically Predictive Maintenance where it has seen traction in the energy infrastructure and advanced manufacturing markets.