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Building the
Enterprise OS Cloud.

Two years ago we kept hearing the same story. The institutions doing the most important work in the world had nowhere to run the AI workloads that mattered most.

Why we built this.

01 The problem

Public cloud was built for elasticity and shared tenancy. That is the wrong shape for a bank, an insurer, a government agency, or any business that cannot put its most sensitive workloads on infrastructure it shares with strangers. The alternative was to build a private data center. That takes years and hundreds of millions in capital. By the time it is live, the model you wanted to train has already moved on.

02 The gap

So the businesses that needed production AI most were stuck between a public cloud that could not isolate them and a private build that could not move fast enough. That gap is where the category lives.

03 What we built

Dapple built what fills the gap. The Enterprise OS Cloud is a new category of AI infrastructure. Single-tenant by architecture. In‑country by physical boundary. Built for production AI in regulated industries and AI-native companies that cannot run on shared infrastructure.

Leadership.

Tricia Martinez

Tricia Martinez

Founder & CEO
At Dapple

Tricia Martinez is the Founder and CEO of Dapple, a technology entrepreneur, investor, and operator building the next generation of enterprise AI infrastructure. Dapple builds and operates dedicated, single-tenant AI infrastructure for regulated enterprises, governments, and AI-native companies, delivered as a fully managed Enterprise OS Cloud through a single environment, interface, and contract. Under her leadership, Dapple has rapidly emerged as a strategic partner to hyperscalers, OEMs, enterprises, and governments seeking scalable, private, and compliant AI cloud infrastructure globally.

Experience

Prior to Dapple, Tricia founded and scaled Africa's first digital bank, leading the company through rapid growth and acquisition. She later served as a White House Fellow at the U.S. Department of Energy, where she worked across AI, energy, and national infrastructure initiatives involving the U.S. national laboratory system. She also led six accelerator programs at Techstars in partnership with organizations including JPMorgan, NVIDIA, and the Department of Energy. Tricia is an active investor in more than 80 emerging technology companies and is known for operating at the intersection of AI, infrastructure, finance, and geopolitics.

Salam Al-Mosawi

Salam Al-Mosawi

Founder & COO
At Dapple

Salam (Sal) Al-Mosawi is the Chief Operating Officer of Dapple, a commercial operator and category builder with deep experience scaling AI and cloud compute ventures. Dapple builds and operates dedicated, single-tenant AI infrastructure for regulated enterprises, governments, and AI-native companies, delivered as a fully managed Enterprise OS Cloud through a single environment, interface, and contract. At Dapple, Salam leads data center strategy, GPU deployment, go-to-market, category design, and partnerships, building the commercial engine and ecosystem that turn Dapple's technical capability into global momentum across Europe, the US, APAC, and the GCC.

Experience

Prior to Dapple, Salam served as Chief Commercial Officer at FlexAI and SVP of Growth & Partnerships at Nscale, where his teams sold tens of thousands of GPUs globally. His career spans two Series A rounds, an IPO, and multiple acquisitions, with earlier leadership roles at Domino Data Lab, Peak, and ZAP. He began his career in data science and analytics, building decision systems for global organizations before shifting to the infrastructure and strategy that scale them. Salam is known for bridging deep technical insight with commercial leadership, operating at the intersection of AI infrastructure, category design, and go-to-market execution.

Built by operators.

Our team has collectively deployed GPU infrastructure at hyperscaler scale and built enterprise sales and operations functions from the ground up. Headquartered in Europe with operations globally.

Backed by.

Built with.

NVIDIA
AMD
Supermicro
VAST Data
EY
EdgeConneX
Encore Technologies
SDS Data Services
Macquarie
Brookfield

What we believe.

Dedicated,
not shared

Shared clouds trade control for convenience. Enterprises running AI at scale need single-tenant, in‑country infrastructure they own end to end, governed by their own policies.

Operations
first

Building infrastructure is the easy part. Running it reliably under contract, under SLA, day after day is what matters.

Structural compliance

Governance shouldn't be bolted on. It should be enforced at execution time, recorded as evidence, and invisible to the developer.

Build for
the long term

Standardized architecture, coordinated construction, and systems designed to operate for years, not quarters.

Built for the work that has nowhere else to run.

When the outcome matters,
it runs on Dapple.

Get in touch.

Tell us what you're building.