Built for production where control matters.
NeuroCluster combines sovereign infrastructure, governed data, enterprise semantics, AI reasoning, human authority and evidence in one operational system.
What actually separates NeuroCluster.
Six dimensions an enterprise review will test. Each one is a claim we expect to be challenged on, so each one comes with what the product does rather than an adjective.
Sovereign
Deploy within the boundary your regulator, board or ministry requires.
One platform from shared European capacity to a fully air-gapped installation. The boundary around it changes; the product inside it does not.
Where does our data actually run, and who can reach it?
- Shared EU cloud
- Dedicated tenant
- On-premises
- Air-gapped
Governed
Policy and human authority are part of execution, not a review afterwards.
Every material action resolves identity and tenant context, checks policy, and stops at a named approver before it touches an operational system.
What stops an agent from acting on something it should not?
- Policy gates
- Named approvers
- Scoped execution
Evidence-first
Every important answer and action can be inspected long after it happened.
Lineage, model versions, policy decisions, approvals and outcomes export as one evidence pack that security, legal and procurement can review.
Can we defend this decision to an auditor in eighteen months?
- Lineage
- Model & policy versions
- Exportable packs
Ontology-driven
Data, models, people and applications work from one shared enterprise meaning.
Objects, relationships, metrics and policies are defined once, then reused by dashboards, agents and operational applications alike.
Why does every system report a different number?
- Shared objects
- One metric definition
- Reused by agents
Model-independent
Use the right model for each task — European, open-weight or commercial.
Routing, cost control and evaluation sit above the model layer, so replacing a model is a configuration change rather than a migration.
What happens when a better or cheaper model arrives?
- Open-weight
- Commercial APIs
- Own research models
Operational
Move past answers into controlled action inside the systems that run the work.
Recommendation, approval, execution and recorded outcome run as one governed loop inside work orders, cases and tickets.
Does anything actually change after the model responds?
- Recommend
- Approve
- Execute
- Record outcome
NeuroCluster, cloud AI stacks and point tools.
Three approaches to the same problem. The grading is deliberate: most capabilities here are reachable with a cloud AI stack if you are willing to build and maintain the integration yourself.
Runs within your chosen boundary
Shared European capacity through to a sealed installation, same product throughout.
NeuroClusterNativeCloud AI stackPartialPoint AI toolsVaries by vendorOn-premises and air-gapped operation
Offline signed updates and no external network paths when the mission requires it.
NeuroClusterNativeCloud AI stackNot addressedPoint AI toolsVaries by vendorEuropean jurisdiction for data and operations
Operated inside the jurisdiction the customer requires, without extraterritorial reach.
NeuroClusterNativeCloud AI stackPartialPoint AI toolsVaries by vendorShared enterprise ontology across products
One definition of an asset, a customer, a metric — reused everywhere.
NeuroClusterNativeCloud AI stackRequires assemblyPoint AI toolsNot addressedHuman approval before governed actions
A named person accepts accountability before anything material happens.
NeuroClusterNativeCloud AI stackRequires assemblyPoint AI toolsPartialEvidence across data, decision and action
One exportable record rather than logs scattered across services.
NeuroClusterNativeCloud AI stackRequires assemblyPoint AI toolsNot addressedModel independence
Open-weight, commercial and sovereign research models behind one controlled path.
NeuroClusterNativeCloud AI stackPartialPoint AI toolsVaries by vendorGoverned applications, not only assistants
Operational software where a signal resolves into an owner and an action.
NeuroClusterNativeCloud AI stackRequires assemblyPoint AI toolsPartialProcurement and audit documentation
Material written for security, legal and procurement review, not for a demo.
NeuroClusterNativeCloud AI stackPartialPoint AI toolsNot addressedDelivery alongside the platform
Compute, data engineering and domain experts as one engagement.
NeuroClusterNativeCloud AI stackVaries by vendorPoint AI toolsNot addressed
- Native
- Part of the product, no assembly required.
- Partial
- Present, but only within limits that matter at enterprise scale.
- Requires assembly
- Reachable, using several products plus integration you build and maintain.
- Varies by vendor
- Depends entirely on the individual vendor.
- Not addressed
- Outside what this category of product sets out to do.
Where a capability is reachable with additional products or engineering, we say so. “Requires assembly” is not a failure — it is a cost and a risk your team would carry.
Do not take the table at face value.
Everything above is testable before a contract. These are the four checks European buyers run most often.
Ask for an evidence pack
A real export from a governed action: lineage, model version, policy decision, approver and outcome in one bundle your auditors can open.
See what evidence coversTest the boundary you actually need
Run the deployment tier your risk profile requires — including on-premises or air-gapped — rather than a hosted demo tenant.
Deployment modelsBring your own model
Route an open-weight model and a commercial API through the same governed path and compare cost, latency and evaluation results.
Models & toolsReview the procurement material
Security architecture, data residency, subprocessors and regulatory alignment — written for review rather than for a pitch.
Governance & trustPut the claims under review
Bring a workflow, your constraints and your reviewers. We will show the governed path end to end, including what it does not do yet.