The enterprise is ready.The infrastructure isn’t.

Hundreds of thousands of GPUs of qualified enterprise demand sit sidelined. Models that work. Workloads that don’t ship.

Every current path forces a compromise.

Build it yourself

Cost, labor, and time intensive.


Specialist teams to hire and retain.


18-to-36-month build cycles.

Shared public cloud

Multi-tenant by default.


No residency or isolation guarantee for regulated workloads.


Regulated demand is third in the queue by design.

Bare metal clouds

Bare metal, no governance layer.


No enterprise compliance controls.


You manage everything above the hardware.

Dapple breaks the tradeoff.

Dapple is theEnterprise OS Cloud.

A new category of AI infrastructure between the public cloud and the private data center.

The existing model

Bring-your-own-cloud. Bring-your-own-stack.

The enterprise brings the infrastructure, the stack, and the operational team. That isn't a platform. That's a tax on innovation.

A new path

The Enterprise OS Cloud. Dedicated. In‑country. Single-tenant. Operated by Dapple. Owned by the enterprise.

  • Single‑tenant
  • In‑country
  • Owned end to end

Dapple closes the gap.

The enterprise runs production AI. Dapple runs the environment.

3–9 months
Live in three to nine months. Not eighteen.
91–94%
Sustained GPU utilization. 100% in-country. Compliance enforced by architecture, not policy.
$100M+
In customer contracts closed in the first five months. Three enterprises live. Backed by Raptor Group and Ion Pacific.

When the outcome matters,it runs on Dapple.