THE NEURO.IO STACK

Sovereign Cloud, Distributed AI and Vertical Intelligence

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.

Our Single
Integrated Stack

01

Sovereign Cloud & AI Infrastructure

Multi-jurisdiction cloud and AI infrastructure for organizations that need control over where data and compute reside

02

Distributed AI Platform

A distributed data, model and control layer designed to keep data governable, accessible and auditable across environments

03

Vertical Intelligence

Proprietary data and specialized models built for trusted real-world outcomes – proven in a healthcare-first environment

SOVEREIGN CLOUD & AI INFRASTRUCTURE

Sovereign Cloud &
AI Infrastructure

Designed around workload, data residency and customer requirements

Locations

Live capacity across four regions, with a European expansion program designed to support sovereign, data-sensitive and AI-intensive workloads at scale

01

Louisiana, USA

4 MW → 40 MW

Existing brownfield campus with high-efficiency power and room to scale

Explore this facility
02

Geneva, Switzerland

0.7 MW → 2 MW

NeuroCloud is live today, supporting sovereign and data-sensitive European workloads

03

Abu Dhabi, UAE

2 MW → 20 MW

A regional base for jurisdiction-specific deployment and modular expansion

European
Expansion
Program

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

Committed

2028–2029

150 MW

Targeted

2034

Up to 1 GW

Identified

We have live capacity today, with disclosed and confidential sites supporting the path to campus scale

Infrastructure built for control, resilience and scale

01 / 04

Infrastructure designed around secure access, tenant isolation and private connectivity

  • Customer-controlled access models
  • Dedicated networking and workload isolation

Capacity planned to support growing AI workloads without compromising operational resilience.

  • Staged capacity expansion
  • Resilience planning around site and workload requirements

Cooling architecture matched to high-density and accelerated compute

  • High-density and liquid-cooling pathways
  • Efficiency designed around workload and site requirements

Flexible compute architecture matched to the application rather than a single vendor

  • GPU and specialized accelerator options
  • Multi-vendor architecture to reduce dependency

Introducing NeuroCloud:
Cloud and Managed Services

A sovereign cloud foundation for enterprise applications, data and AI workloads

  • Containers & Application Platforms

    01

    Host and deploy applications using Kubernetes, container registries and automated provisioning

  • Compute & GPU Services

    02

    Run workloads on virtual machines, bare-metal compute and dedicated or shared GPU capacity

  • Networking & Access

    03

    Control connectivity and access through private networks, tenant isolation, firewalls and role-based permissions

  • Storage & Databases

    04

    Support enterprise workloads with block, file and object storage alongside managed database services

  • Cloud Operations & Cost Control

    05

    Manage provisioning, monitoring, usage and cost allocation through a single operational layer

  • Backup & Disaster Recovery

    06

    Protect workloads with scheduled backups, cross-site replication and recovery capabilities

Delivery and Operations

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

Distributed
AI Platform

One operating layer for sensitive data and specialized models

Keep data local, deploy models where they are needed and control how every AI request is routed, governed and audited

DataFabric

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

AI Gateway

Live

One controlled entry point for AI

Route requests across models and providers with usage visibility, budget controls and jurisdiction-aware routing

Confidential & High-Assurance Execution

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.

Built for governed AI workflows

Designed for regulated environments where traceability, control and repeatability matter across the AI lifecycle

01 / 04

Capture prompts, tool calls, datasets, model versions and outputs to support traceable, reproducible AI workflows

Coordinate LLMs, vision models and scientific compute within governed workflows, with policy controls and human checkpoints

Use consistent, containerized environments to move workloads from development through validation and into production

Support tenant isolation, customer-controlled access, data-minimization and multi-site continuity requirements

Vertical Intelligence

Vertical
Intelligence

Built on real-world healthcare data and evidence

Our Vertical Intelligence approach was proven first in healthcare – combining longitudinal data, regulated products and measured outcomes to build and validate specialized intelligence

01

Governed Clinical Language Layer

Design-partner pilots
  • Built on a Meditron-class open medical LLM, Swiss-engineered
  • Enforceable scope, human escalation, audit trails - core behavior, not add-ons
  • HL7/FHIR-native, Swiss data residency
  • Co-development with a national GP network (1,000+ physicians) and a global child-health NGO

Non-diagnostic by design - deployable inside regulated workflows

02

Physics-Grounded Molecular Design

Validation engine liveCommercial readinessPartner capability

A scientific intelligence layer for AI-generated molecular workflows.

  • Generate molecular data from first principles using quantum-chemistry calculations at scale
  • Run fast chemistry predictions on standard CPUs with compact models designed for agentic and enterprise use
  • Deliver verified knowledge context with supporting evidence for AI agents, enterprise applications, and open-source model fine-tuning
  • Deploy modularly or as a full stack depending on customer needs and workflow complexity

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

Neuro.io changes outcomes across different disciplines with partners

  • Commercial & Operations01

    Manufacturing, Logistics & Supply Chain

    Demand forecasting, production planning, quality, cold-chain monitoring and sustainability

  • Research & Clinical Development02

    Clinical Development & Trial Operations

    Protocol design, site and patient matching, simulation and evidence synthesis

  • Research & Clinical Development03

    Drug Discovery & Design

    Generative chemistry and biology, protein and molecule design, ADME/Tox simulations

  • Safety, Regulatory & Evidence04

    Pharmacovigilance & Regulatory

    Case intake, signal detection, submission authoring and labeling

  • Safety, Regulatory & Evidence05

    Real-World Evidence & HEOR

    Claims and medical-record analysis, outcomes modeling and market access dossiers

  • Commercial & Operations06

    Commercial & Medical Affairs

    Omnichannel content, medical science liaison copilots, tender and pricing support, healthcare professional assistance

  • Efficient procurement07

    AI-Assisted Tender Evaluation

    Accelerate supplier assessments with consistent, criteria-based analysis

  • Efficient procurement08

    Intelligent Invoice Validation

    Reduce manual reconciliation while keeping payment decisions traceable

  • Efficient procurement09

    Procurement Spend Optimization

    Identify sourcing and consolidation opportunities across sites and business units

TALK TO US

Sovereign AI, from infrastructure to intelligence