Turn your footprint
into a sovereign
AI business.
Sovereign AI turns the space, power or connectivity you already own into a Neocloud that hosts and serves AI Inference in-country, on your terms. The market is moving to sovereign and secure, and we have developed the blueprint to meet it, so you take your share of a forming market with the design already done, not a blank sheet.
We can advise on the move, help build the platform, and run it for you if you want.
Most of a sovereign AI platform is infrastructure we already build and run in production today, for operators across multiple markets. Our team has been behind some of the largest infrastructure and cloud platforms in the market, such as Digital Realty, Console Connect and ANS, and taking infrastructure from idea to revenue is the work we do.
The sovereign layer is the new part, and we have put real time and money into it. We have developed the blueprint and are building and testing it on our own infrastructure before putting it in front of a client. So when we say we can deliver this, it is because we are already delivering most of it, and proving the rest at our own cost. AI itself moves faster than any operator can track while running the business, so we track it continuously, across the market, and what we hand you is current rather than dated.
Hosting AI in-country means owning the infrastructure, not renting it.
Your customers are already asking what you can offer them on AI, and more of them now require their data to stay in-country before they will run those workloads at all. Where you have no sovereign offer you have to say no, the workload goes elsewhere, and the colocation and interconnection revenue attached to it goes with it. Renting capacity from a hyperscaler in another jurisdiction does not meet the requirement, and building a GPU cloud from scratch is a programme most operators have never run.
There is a second pressure building. Access to the strongest models now depends on policy set in another country, and it can be withdrawn at short notice. At the same time, open models are improving fast and are already capable enough for most production work. An operator that can host those models in-country, and sell access to them, holds something a foreign government cannot switch off.
The money is already moving. Investment in AI infrastructure now runs into the hundreds of billions, and governments are standing up sovereign AI funds to keep that capacity onshore.
This is a window. The demand is forming now, and the operators who own the infrastructure underneath it set the terms before it commoditises.
Three reasons to move on sovereign AI now.
Sovereign AI is how you lead. The payoff comes from being early, and from owning the right layer.
Where leading pays off
Everyone is building the models and the software, and will keep building them. That layer is replaceable. The durable position is the physical layer under it, the power, the data centre and the interconnection. Own that and you hold the position whatever the model of the month turns out to be. This is the hyperscaler playbook applied to a new compute layer, and it is the layer you already build and run.
The space, power and connectivity you sell today carry sovereign inference on top, so the footprint you have already paid for and built earns a higher-margin services line rather than sitting as colocation alone. Every customer on the platform connects into it, so your interconnection revenue grows with it, and the data already inside it becomes the reason customers run their AI with you, rather than somewhere else.
The operators with a sovereign answer ready win the workloads that carry a residency requirement, and keep the colocation and interconnection revenue attached. Move once the demand is mainstream and you compete on price with everyone else who waited. Move while it is forming and you set the terms.
Wrong for AI training. Right for AI inference.
The AI builds in the headlines are training factories, designed around dense power and liquid cooling in purpose-built halls. A data centre built for the interconnected cloud era was never meant for that, and retrofitting it to chase training is a race against operators who started there.
Inference is a different workload, and it is the one that runs every time a model is used, not just when it is built. It does not need the training factory. What it needs is to sit close to the data it serves, and that data is the asset you are already sitting on. Your facility holds vast amounts of your customers’ private data, the data they will not hand to a hyperscaler in another jurisdiction. That data, and the secure interconnection around it, is what makes you the right place to run their AI.
This is what answers the sovereignty question. The platform runs inside your footprint and cross-connects securely into that data where it already lives, so models run against it in-country and under the customer’s control, with nothing leaving the building. The secure interconnection your data centre was built for is exactly what sovereign AI needs: the AI goes to the data, not the data to the AI.
A sovereign Neocloud, from a blueprint we have already developed.
GPU infrastructure, model hosting and inference, developed into a cloud your customers consume in-country and under your brand. By design the data stays in-country, with models running locally against locally hosted data and no dependency on a hyperscaler API in another jurisdiction. Sovereign models by default, with routing to external models only when the customer chooses. The volume workload is inference, and inference runs in the colocation capacity you already operate, the space and power you run today, monetised. We have developed the blueprint, we build it with you, and you own and operate the asset.
The hardware, sourced for you. Inference runs on a growing range of accelerators, not just one chip, and our procurement partner ePlus carries the vendor relationships, so you source the right hardware for the job and are not locked to a single vendor, or a single country's supply, as the market broadens beyond the incumbents. We advise the capital spend and stand behind the result. You own the asset.
Composed from product blocks we deliver independently.
The sovereign cloud is a new build, the parts are not. It is composed from blocks we design, build and run on their own, for operators in production today. Take the whole platform, or only the blocks you are missing. The whole is ahead of the market; every part is a capability we already deliver.
Cloud Platforms
Localised cloud you own, extended into the GPU Neocloud that hosts and serves the models in-country, with isolation between customers built in.
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Network Infrastructure
The network beneath the platform, designed, built and documented, so data moves inside infrastructure you control.
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Automated OSS / BSS
Ordering, assurance and billing for the inference capacity your customers consume, including usage-based consumption on top of port charges.
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AI Integration
AI built into your products and operations, on the open-source LLMs the Neocloud hosts, with routing to external models only where the customer chooses it.
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Portals, APIs & Marketplaces
The self-service portal your customers reach AI capacity through, under your brand, so you own the account and the relationship.
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Custom
Anything specific to your market and your sovereignty requirements, including compliance-ready design for the frameworks your customers answer to.
View productAdvisory that builds.
Engineering that ships.
Go-to-market that earns.
Management that scales.
Operators are new to building this, so this is a partnership. We bring the experience of building and running infrastructure; specialist AI partners bring the models and orchestration, and together we get your platform to production.
You hand the outcome to a single team that advises the move, builds the platform and runs it if you want us to. You own the asset, and we stand behind the result.
You work with a delivery lead who runs the build day to day, and an executive partner who engages with your leadership. We bring conviction earned from building the infrastructure underneath, and when we think a decision is wrong, we will say so, and why. The call is always yours.
The contract is with us to deliver, so we bring the right specialists when the work needs them, including the scarce skills a sovereign AI build calls for, managed by us rather than carried by you. You take the position without building the team to take it.
Outcomes, not activity.
A sovereign AI inference offer your customers consume in-country, under your brand.
GPU and model hosting on infrastructure you own and control.
A higher-margin services layer that stacks on the space, power or connectivity you already sell.
The data already sitting in your footprint, turned into an AI-era asset.
A blueprint shaped to your market's sovereignty requirements, not a generic AI build.
Your share of a forming market, taken from a developed blueprint, not a blank sheet.
You do not bet the farm on day one.
The platform is built to lead, so you can move first and scale the footprint as the demand proves itself, rather than buying for a market you have not tested. You do not build a team to run it either: we run it for you as it matures, or hand it over when your own people are ready. And you do not have to test the market alone. Do your own discovery with your customers, or bring us in to do it with you before anything goes on hardware. Because this is inference rather than training, the hardware is flexible and longer-lived, so the capital does not date the way a training build does. The bet stays small until the demand is real.
Advise, build and run. Take all three, or only what you need.
All three engagement models are delivered through the PTX Innovation Lifecycle, our method for taking a platform from idea to revenue.
We advise. You execute.
The demand, the economics and the architecture for a sovereign AI cloud, and where it earns on top of your existing book.
We build and deliver.
The platform integrated and productised, model hosting and the branded portal your customers consume it through, with isolation between customers and compliance-ready design.
We run it.
Operated with you as the platform matures, or handed to your team.
Run is offered, not required. You own the IP we build together. We can run the blocks or platform for you, or hand it to your own team. Advise, build and run gives you the choice, not a dependency.
So, what's your AI story?
Tell us what hosting AI in-country needs to look like for your market. We will show you the blueprint, and what it takes to put it in front of your customers, together.
