Sovereign Cloud & AI Infrastructure
Multi-jurisdiction cloud and AI infrastructure for organizations that need control over where data and compute reside
THE NEURO.IO STACK
One integrated stack for highly-regulated organizations that need greater control over infrastructure, data and AI
01
50-70 MW
ENERGIZED IN EUROPE
02
Up to 1 GW
EXPANSION PATHWAY
03
4 regions live
MULTI-JURISDICTION FOOTPRINT
Figures are indicative and subject to site design, availability, and contracted scope.
Multi-jurisdiction cloud and AI infrastructure for organizations that need control over where data and compute reside
A distributed data, model and control layer designed to keep data governable, accessible and auditable across environments
Proprietary data and specialized models built for trusted real-world outcomes – proven in a healthcare-first environment
SOVEREIGN CLOUD & AI INFRASTRUCTURE
Designed around workload, data residency and customer requirements
Live capacity across four regions, with a European expansion program designed to support sovereign, data-sensitive and AI-intensive workloads at scale
4 MW → 40 MW
Existing brownfield campus with high-efficiency power and room to scale
0.7 MW → 2 MW
NeuroCloud is live today, supporting sovereign and data-sensitive European workloads
2 MW → 20 MW
A regional base for jurisdiction-specific deployment and modular expansion
The multi-node Neuro.io European infrastructure program will scale from 50-70 MW energized today to a pathway of up to 1 GW by 2034
2027
140 MW
Committed2028–2029
150 MW
Targeted2034
Up to 1 GW
IdentifiedWe have live capacity today, with disclosed and confidential sites supporting the path to campus scale
A sovereign cloud foundation for enterprise applications, data and AI workloads
Host and deploy applications using Kubernetes, container registries and automated provisioning
Run workloads on virtual machines, bare-metal compute and dedicated or shared GPU capacity
Control connectivity and access through private networks, tenant isolation, firewalls and role-based permissions
Support enterprise workloads with block, file and object storage alongside managed database services
Manage provisioning, monitoring, usage and cost allocation through a single operational layer
Protect workloads with scheduled backups, cross-site replication and recovery capabilities
From planning and migration to ongoing support, NeuroCloud helps customers move workloads into production and keep them running
Delivery responsibilities, support coverage and service levels agreed per engagement
Supporting phased migration and the ongoing operation of enterprise workloads
Distributed AI Platform
Keep data local, deploy models where they are needed and control how every AI request is routed, governed and audited
Live
Make sensitive data usable without moving it unnecessarily
Federated access to records, imaging, sensor and operational data, with lineage, access boundaries and controlled movement built in
Live
One controlled entry point for AI
Route requests across models and providers with usage visibility, budget controls and jurisdiction-aware routing
Isolated tenancy, customer-controlled access and exportable audit trails are live today, with confidential computing planned for Q1 2027
Open-source tools can route requests or index data. Neuro.io brings jurisdiction, lineage and audit together in one policy-controlled layer for regulated AI.
Designed for regulated environments where traceability, control and repeatability matter across the AI lifecycle
Vertical Intelligence
Our Vertical Intelligence approach was proven first in healthcare – combining longitudinal data, regulated products and measured outcomes to build and validate specialized intelligence
Non-diagnostic by design - deployable inside regulated workflows
A scientific intelligence layer for AI-generated molecular workflows.
Every AI-proposed molecule must pass physics. This is the gate.
Compute can be bought. Proprietary data, regulatory experience and years of measured outcomes cannot.
USE CASES
Demand forecasting, production planning, quality, cold-chain monitoring and sustainability
Protocol design, site and patient matching, simulation and evidence synthesis
Generative chemistry and biology, protein and molecule design, ADME/Tox simulations
Case intake, signal detection, submission authoring and labeling
Claims and medical-record analysis, outcomes modeling and market access dossiers
Omnichannel content, medical science liaison copilots, tender and pricing support, healthcare professional assistance
Accelerate supplier assessments with consistent, criteria-based analysis
Reduce manual reconciliation while keeping payment decisions traceable
Identify sourcing and consolidation opportunities across sites and business units