Run AI models on low-power devices; Deploy AI solutions in edge computing environments; Achieve faster inference for real-time applications; Reduce operational costs through efficient AI; Train custom models without coding.
Shortlisted for the National AI Awards 2025; Raised £4.6M in pre-seed funding; Featured in EE Times 'Silicon 100' for innovation.