Enterprise AI that survives security, legal, and procurement review.
Deploy governed agents and compliance-ready workflows on infrastructure you control — with policy gates, human approval, and exportable evidence built in from day one, not bolted on after a pilot stalls.
Why sovereign AI matters
European organizations require AI systems that can operate under their own governance, infrastructure and compliance boundaries — not as dependent layers on foreign cloud APIs.
Data residency and procurement boundaries you can defend in audit.
Verifiable reasoning traces — not black-box outputs that look plausible.
Policy gates, HITL approvals, and exportable evidence for regulated workflows.
Private runtime on Kubernetes, GPU clusters, or fully air-gapped environments.
AI Deployment
Production rollout on shared, dedicated, or sovereign infrastructure with GitOps-managed platform services.
Governance & Compliance
Policy gates, HITL approvals, EU AI Act readiness, data residency controls, and exportable evidence packs.
AI Agents & Orchestration
Versioned agents with tools, Temporal-backed workflows, and auditable state transitions.
Enterprise RAG
Governed retrieval with row-level access, classification ceilings, and knowledge base lineage.
Sector use cases
Nine sector solutions, one governed platform. Pick your sector for priority use cases and governance expectations.
No high-risk autonomous action without policy proof.
The strongest first wedge: workflows that combine sensitive data, decision logic, documents, retrieval, tool use, escalations, human approval, and auditability.
Regulated workflows stall at pilot because teams cannot prove control. NeuroCluster binds governed data, policy-enforced agent actions, human approvals, and exportable evidence — so security and procurement can sign off on production.
Priority use cases
- Document review with classification-aware retrieval
- Casework triage with human escalation paths
- Operational decisions with financial or compliance impact
- Export and integration actions gated by policy
Key takeaways
- Platform proof demo is industry-neutral — governed enterprise agent on sensitive data
- Pre-action policy gates block high-risk tool calls until approved
- Evidence packs bundle deployment snapshot, approvals, and audit trail
Use cases in production
Production systems built on NeuroCluster — with policy gates, audit trails, and evidence procurement teams can evaluate.
Start with the Innovation Center, not a full platform commitment.
A fixed-scope, 10–12 week engagement that validates one priority workflow inside a governed intelligence cluster, aligns stakeholders, and leaves you with evidence for a production decision — before you sign anything larger.
What you get
- Use case prioritisation with clear success criteria
- Data and integration readiness review
- Risk, governance, and stakeholder mapping
- Validated workflow in a controlled environment
- Production blueprint with deployment recommendation
- Procurement-ready evidence and expansion path
Assess
Weeks 1–4Prioritise the use case, review data readiness, align stakeholders, and define what success and safe rollout look like.
Build
Weeks 5–10Build the workflow in a controlled environment and validate quality, boundaries, and handoffs with the teams who will use it.
Decide
Weeks 11–12Turn the validated workflow into a defensible production decision with deployment model, ownership, and evidence.
Best fit
- Teams with one priority use case, sensitive data, and real governance constraints.
- Buyers who need to align CIO, CTO, CISO, compliance, and delivery stakeholders early.
- Organisations that want a safe first purchase before a broader platform commitment.
Not the right fit
- Teams looking for self-serve experimentation without stakeholder review.
- Buyers only shopping for generic GPU capacity or undifferentiated IaaS.
- Organisations without an internal owner for the use case, data, and rollout decision.
Choose the right entry point for a regulated AI rollout.
No self-serve pricing here. NeuroCluster is deployed as an intelligence cluster — scoped around use cases, deployment boundaries, and governance requirements.
Pilot Programme
Fixed-scope assessment and validation of one high-value workflow.
Teams that need a defensible first AI decision.
- Use-case qualification
- Controlled build
- Governance evidence
- Production blueprint
Dedicated Tenant
Production rollout for validated workflows with dedicated operating boundaries.
Teams moving from assessment into a stable platform environment.
- Dedicated environment
- SSO/RBAC alignment
- Operational runbook
- Expansion roadmap
Sovereign / On-Prem
Private deployment patterns for strict residency, procurement, or sector constraints.
Regulated buyers with strict hosting and audit requirements.
- Private deployment
- Residency review
- Procurement pack
- Executive technical walkthrough
| Capability | Pilot | Dedicated | Sovereign |
|---|---|---|---|
| Best entry point | First use case | Production rollout | Strict residency |
| Deployment | Controlled build | Dedicated tenant | Private / on-prem |
| Governance evidence | ✓ | ✓ | ✓ |
| SSO/RBAC alignment | Review | ✓ | ✓ |
| Procurement support | Pack | Pack + runbook | Executive walkthrough |
Platform comparisons
Evaluate NeuroCluster against Orq.ai, Azure AI Studio, AWS, Mistral, and sovereign cloud alternatives — for procurement and architecture review.
AI operating system scope
Whether the vendor covers build, deploy, govern, and audit as one platform — or a slice of the stack.
| Capability | NeuroCluster Enterprise AI OS · governed intelligence cluster | Orq.ai GenAI lifecycle platform | Azure AI Studio Microsoft cloud AI builder | Credo AI AI governance & risk | OpenBox AI AI trust & runtime governance | Scaleway AI European cloud inference | Langfuse LLM observability (OSS) |
|---|---|---|---|---|---|---|---|
| Full-stack AI OS (8 layers) | ✓ | Partial | Partial | ✕ | ✕ | ✕ | ✕ |
| Private deployment on customer infrastructure | ✓ | ✓ | Partial | Partial | SDK + SaaS | ✓ | ✓ |
| Multi-tenant organization model | ✓ | ✓ | ✓ | ✓ | Partial | Partial | Partial |
| AI OS kernel (identity → policy → runtime → audit) | ✓ | ✕ | ✕ | ✕ | Partial | ✕ | ✕ |
| Structured Innovation Center programme | ✓ | ✕ | ✕ | ✕ | ✕ | ✕ | ✕ |
✓ Full capability · ○ Partial or add-on · ✕ Not a core offering. Capabilities reflect public product positioning as of May 2026 and vary by plan, region, and deployment model.
Not sure where to start? Describe your challenge.
The AI advisor maps your challenge to live use cases, a suggested deployment model, and the governance expectations for your sector — in under a minute.
Plan the right first step for your organisation.
An assessment, a demo, or the procurement pack straight away — we make sure security, legal, and delivery are aligned from day one.