Deliverance AI emerges from stealth to build the OS for sovereign enterprise AI
Deliverance AI, the UK-founded Agentic Operating System (OS), is building the operating system for sovereign enterprise AI. It has emerged from stealth with £6 million ARR, more than 30 employees, and six enterprise customers within three months of incorporation.
Enterprise adoption of AI has stalled not because of the AI itself, but because organisations lack the operating model to govern it. Deliverance AI builds a platform that helps government, regulated industries, and large enterprises deploy Agentic AI at scale – inside their own environments, with full governance, visibility, and control over data, models, agents, and decisions from day one.
Speaking at London Tech Week, Founder and CEO Mick McNeil explained the gap the company was built to address. “For the past five years, I’ve been in the AI space, either leading or funding AI infrastructure businesses – most recently as revenue officer for Northern Europe’s largest GPU provider, then founding Carbon3, the UK data centre and GPU-as-a-service business. In all those roles, the challenge was the same: we could only sell to very sophisticated organisations that were already in the business of AI. What we really wanted was to serve the enterprise –organisations that are not in the business of AI, but that are using AI to improve outcomes and reduce costs. To do that, you have to bring together the full stack: the infrastructure layer, the orchestration layer, the applications, and the support needed to deliver on that journey from use case to value realisation. That gap is exactly what Deliverance AI was founded to solve,” said McNeil.
The company is working with HPE and NVIDIA to help enterprises move AI from pilots into secure production: HPE provides the private Cloud foundation for customer-controlled AI, while NVIDIA provides the accelerated computing and agentic AI software stack, including DGX Spark and NemoClaw.
On the value of those partnerships, McNeil said: “HPE is the leader in the data centre, servers, storage, and network space, and it has also created an appliance designed to deliver AI to your private, secure environment. So it makes sense that we partner with them rather than try to replicate what they do. Equally, NVIDIA is the leader in accelerators – not just at the hardware level, but also at the framework and model layer. What we do together is three things: we co-innovate on the full stack, we go to market together to identify customer and industry needs, and then we sell and deliver together. When we walk into a room with a customer, that partnership is there from the very first conversation through to value realisation.”
Deliverance AI is headquartered in the UK/EU, with deployment options for customers that need control over data residency, infrastructure jurisdiction, and operational governance. Unlike AI services operated through US-controlled infrastructure, Deliverance AI can run in customer-controlled, sovereign, on-premises or air-gapped environments, reducing exposure to extra-territorial access risks such as those associated with the US CLOUD Act.
Mick McNeil, CEO and Founder of Deliverance AI, said: “Enterprise AI will not scale on trust-me promises. The organisations with the most valuable data need AI that can operate inside their own environment, under their own controls, with clear governance over which models are used, where data goes, and how decisions are made.
“Companies have spent heavily on AI infrastructure, but infrastructure alone does not give you an AI outcome. The missing layer is an operating system for Agentic AI: somewhere to run agents, govern them, give them context, measure them, and make them accountable. That is what Deliverance AI has been built to provide.”
From sovereign control to production AI
Enterprise AI adoption has entered a new phase. Many organisations have invested in GPUs, Cloud platforms and AI pilots, but still lack the system needed to run, govern, measure, and audit AI as a production system.
Deliverance AI addresses that gap with an Agentic OS that provides a governed runtime for AI agents, a layered knowledge architecture, model routing, audit trails, cost attribution, and embedded forward-deployed engineering to help customers turn AI infrastructure into controlled business outcomes.
The platform is already being used by enterprise customers to replace expensive professional services workflows, accelerate sales and operations functions, and apply governed AI to finance and business process use cases. In one customer deployment, Deliverance AI demonstrated a near 75% cost reduction while also reducing the time taken to start and complete tasks.
The EU AI Act, which comes into full force in August 2026, has been a significant driver of demand. McNeil said: “Every organisation is deploying agents and an agentic workforce to remain competitive, running pilots across different business functions. The challenge is control: how do you observe it, monitor it, keep your security officer comfortable, your CFO satisfied, your CEO confident? We’ve built a control plane that enables organisations to deploy agents in a regulated, sovereign environment in a way that meets the requirements of the EU AI Act. Pretty much every conversation we have, governance is the primary discussion point. The Act is creating real urgency to get that control plane in place – or risk significant fines.”
The platform’s model-routing capability directs AI tasks to the most appropriate model based on performance, cost, risk, and governance requirements. This helps customers avoid being locked into one model, Cloud, agent framework, or infrastructure vendor, while giving them resilience across multiple providers and leverage as the AI model market continues to move quickly. For regulated and data-sensitive organisations, this means AI can run under their own controls, with clear oversight of users, models, data flows, costs, and outcomes.
Building with HPE and NVIDIA
Deliverance AI partners with HPE because they share a commitment to enterprise AI that is governed from day one. The collaboration helps regulated and sovereign organisations deploy governed Agentic AI on HPE Private Cloud AI, co-developed with NVIDIA, inside their own environments within four weeks.
Deliverance AI is also working with NVIDIA to support secure, private, and enterprise-grade AI deployments. The company has deployed its platform on NVIDIA DGX systems and NVIDIA DGX Spark, and is working with NVIDIA NemoClaw on governed Agentic AI workflows in private and regulated environments.
For enterprises investing in AI infrastructure, Deliverance AI provides the governance, runtime, and outcome layer needed to move from experimentation to production.
“HPE and NVIDIA are central to how regulated enterprises will deploy AI at scale. HPE gives customers the private Cloud architecture they need. NVIDIA provides the accelerated computing platform and emerging software stack for secure Agentic AI, including DGX Spark and NemoClaw. Deliverance AI is the operating system, helping customers turn that foundation into governed, measurable, and accountable AI workflows,” McNeil added.
Looking ahead, McNeil is focused on near-term execution rather than long-range prediction. “We don’t think in five years – we think in five days. Logically, for a business that has successfully deployed the control plane, the next step is to harden that plane and keep pace with regulatory and macro factors, and then focus on the industry solutions that ensure customers can capture value at pace. The toolkit is one thing, but what happens on top of that is where the actual value is realised. So we’re building specific workflows that will cover the vast majority of what, say, a telco or a government department needs to do. We have a strong beachhead in telco and service providers, clear sight towards government and defence, and early opportunities in healthcare, pharma, and financial services,” he said.
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