Initial Investment



Cloud Infrastructure for Machine Learning optimises machine learning inference workloads in cloud or enterprise data centres and in edge applications. 

This enables businesses to meet the strict latency and performance requirements of real-time applications while reducing the total cost of ownership and total power consumption compared to alternatives such as GPUs.

Myrtle’s accelerators can be deployed to optimise a wide range of AI workflows, including high fidelity speech synthesis, ultra-low latency speech transcription or resource-efficient Natural Language Processing.

IQ Capital first invested in Myrtle at pre-Seed stage in 2017 and followed through to Seed.