Deliverance AI, a London-founded Agentic Operating System for the enterprise, has emerged from stealth with £$.5 million ARR, more than 30 employees and six enterprise customers within three months of incorporation. The platform helps government bodies, 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.
Enterprise AI adoption has stalled not because of the AI itself, but because organisations lack the operating model to govern it. Deliverance AI addresses that gap with a platform that provides a governed runtime for AI agents, a layered knowledge architecture, model routing, audit trails, cost attribution and embedded forward-deployed engineering. The goal is to help customers turn AI infrastructure into controlled business outcomes. In one customer deployment, the platform demonstrated a near 75% cost reduction while also reducing the time taken to start and complete tasks. Customers are already using the platform to replace expensive professional services workflows, accelerate sales and operations functions, and apply governed AI to finance and business process use cases.
The platform's model-routing capability directs AI tasks to the most appropriate model based on performance, cost, risk and governance requirements. This is designed to prevent lock-in to a single model, cloud, agent framework or infrastructure vendor, while giving customers resilience across multiple providers. For regulated and data-sensitive organisations, AI runs under their own controls, with clear oversight of users, models, data flows, costs and outcomes.
Founded by CEO Mick McNeil, Deliverance AI is UK- and EU-headquartered, meaning it is not subject to the US CLOUD Act. McNeil previously held senior leadership roles across cloud, high-performance computing and AI businesses at Microsoft, Northern Data Group and Logicalis. For regulated enterprises, defence and any workload where data residency is non-negotiable, this is positioned as a structural advantage rather than a contractual promise. The platform supports deployment across hyperscale cloud, sovereign infrastructure, on-premises systems and air-gapped environments, ensuring data never transits US-controlled infrastructure unless the customer chooses it. Deliverance AI serves customers across the United Kingdom, Europe, the Middle East and North America.
Working with HPE and NVIDIA, Deliverance AI is helping enterprises move AI from pilots into secure production. HPE provides the turnkey private cloud foundation for customer-controlled AI environments through HPE Private Cloud AI, co-engineered with NVIDIA as part of the NVIDIA AI Computing by HPE portfolio. The platform runs on NVIDIA DGX systems and NVIDIA DGX Spark, and uses NVIDIA NemoClaw blueprints for governed agentic AI workflows in private and regulated environments, alongside NVIDIA OpenShell and NVIDIA's broader agentic AI software stack.
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 governance built in from the start. 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.
As AI becomes a foundational productivity layer for every enterprise, organisations are increasingly focused on turning accelerated computing infrastructure into controlled, measurable business outcomes. The integration of Deliverance AI's Agentic Operating System with the NVIDIA-accelerated computing platform and software stack provides a managed infrastructure designed for running governed agentic workflows within private and regulated environments.
Deliverance AI's emergence shows the growing demand for sovereign AI among enterprises. HPE Private Cloud AI meets this need by enabling agentic workflows to run within private, sovereign and air-gapped environments, keeping customers firmly in control of their data, models and decisioning.
