Using AI to make AI easier to build.
A centrally owned, distributed AI cloud built for modern training and tuning cycles.
Purpose-built for smaller, context-specific models (SLMs) - with a unified write-and-run workflow.
AI is Evolving Faster Than the Cloud
Today’s AI cloud was shaped by the race to scale foundation models.
Modern AI increasingly depends on repeated training and tuning cycles for smaller, content-spoecific models.
When every cycle becomes a new infrastructure event, developer productivity suffers - and AI outcomes decline.
A Centrally-Owned, Distributed AI Cloud
Centrally orchestrated into a unified cloud.
AI agents embedded directly in the control plane.
A seamless write-and-run workflow.
Scales PC by PC – not data centre by data centre.
Platform Development in Progress
Distributed orchestration live across remote GPUs.
Real-world AI workloads running on the platform.
Early adopters shaping agent-driven workflows.
Active collaboration with leading global PC OEMs.