Operational intelligence your organisation can run.
One system connecting sovereign infrastructure, governed data, enterprise meaning, AI agents, and human decisions — with evidence behind every material outcome.
Eight connected experiences. Shared control underneath.
Workplace, Insights, Ontology, Intel, Data, Apps, Cloud, and Boxes are the product surfaces teams use. Identity, security, governance, integration, observability, evidence, and lifecycle keep every outcome controlled.
Workplace
Where business teams use governed intelligence.
Ask questions, follow situations, approve decisions, and inspect the evidence behind every answer.
Insights
Where teams consume governed numbers and reports.
Dashboards, reports, and explorations built on the semantic layer — the same definitions, classification, and lineage as everywhere else on the platform.
Ontology
One shared meaning for your organisation.
Assets, customers, processes, events, metrics, decisions, and actions — so every team and every AI uses the same business language.
Intel
AI that prepares work people can trust.
Agents, models, and workflows that gather context, recommend next steps, and wait for human approval when the stakes are high.
Data
Approved information, ready for decisions.
Sources, data products, documents, and knowledge brought together under ownership, access rules, and clear lineage.
Apps
Applications built on the same foundation.
Deploy governed applications that reuse the same objects, metrics, policies, and evidence model as the rest of the platform.
Cloud
Infrastructure you control.
Shared, dedicated, European, on-premises, or air-gapped environments — with residency and operating boundaries you choose.
Boxes
Isolated places to build and automate safely.
Persistent, controlled environments for agents, developers, and automation — without exposing production systems.
Every material action resolves identity and tenant context, checks policy, executes in scope, and leaves trace, audit, and evidence. That is the contract under every product experience.
- 01
Identity
Who and which org
- 02
Context
Approved information
- 03
Policy
Before high-impact action
- 04
Action
Scoped execution
- 05
Trace
Visibility
- 06
Evidence
Audit record
No step skipped — every layer is connected and auditable.
One ontology connects data, agents, decisions, and applications.
A shared operational model of the organisation — its assets, customers, processes, events, metrics, decisions, and actions. Every part of the platform uses the same business meaning.
Define a business concept once and reuse it across Ask, agents, reports, workflows, policies, and applications. No separate definition of operational risk, asset availability, or customer exposure in every dashboard.
Data products feed enterprise objects. Objects, relationships, and events give situations and decisions a shared vocabulary. Metrics and policies stay aligned with the work people actually do.
One workplace for governed intelligence.
NeuroCluster is not only where AI is built. It is where business users work with governed intelligence — ask questions, browse approved information, follow situations, approve decisions, and inspect evidence.
Operators, analysts, claims handlers, and risk teams need a place to work — not another console full of model settings. The Workplace brings Ask, catalog, reports, dashboards, situations, tasks, approvals, and Decision Center into one experience.
Every answer and action can carry the trail that security, compliance, and leadership expect: sources, rationale, policy context, approvals, and outcome.
Choose a Workplace surface
NeuroCluster is not only where AI is built. It is where business users run the work.
The dashboard is only the surface.
Not dashboards layered over disconnected data. NeuroCluster applications share the same ontology, policies, evidence and action framework — open any signal and it resolves into the data, the model, the policy and the person accountable for what happens next.
Assets modelled
48,210
12 source systems
At elevated risk
134
+9 this week
Evidence coverage
97%
of open recommendations
From signal to governed outcome.
Regulated enterprises do not primarily buy agents. They buy faster, safer handling of situations — congestion, asset deterioration, suspicious payments, claims exceptions, compliance issues, and operational incidents.
Signals become shared operational facts. Situations gather investigation context. AI prepares recommendations. Named people approve consequential steps. Controlled actions execute. Evidence remains available for review.
That is the commercial value of operational intelligence: shorter time from signal to accountable outcome, without losing control.
- 01
Inspection observation
Signal from the field
- 02
Asset condition event
Shared operational fact
- 03
Maintenance situation
Work that needs attention
- 04
AI recommendation
Prepared with sources
- 05
Human approval
Named decision owner
- 06
Work order
Controlled action
- 07
Evidence trail
Full accountability
AI that prepares work. People who keep control.
Agents gather context, draft next steps, and recommend actions. High-impact work still needs policy checks, human approval, and a reviewable trail before anything reaches production systems.
Teams design and test agents, evaluate quality, attach policy, and promote only what is ready. Production bindings freeze the prompt, model route, tools, and policy context so change is deliberate.
The result is not an unsupervised chatbot. It is operational assistance that fits the way regulated organisations already make decisions.
Approved data becomes shared operational context.
Sources, pipelines, data products, documents, and knowledge come together under ownership and access rules. Retrieval is governed. Meaning is shared. Reports and agents start from the same approved foundation.
Stewards publish curated data products. Business teams and agents consume them through a governed path — with row-level access, classification, and lineage back to source.
That fabric feeds the ontology, Workplace reports, decision workflows, and applications. Teams stop redefining the same business facts in every tool.
One controlled path for models and tools.
Route open-weight and commercial models through a single control plane — with fallbacks, quotas, logging, and governed tool connections.
Enterprise buyers need routing, cost visibility, and policy where inference happens — not only API keys. The gateway keeps model choice, usage, and tool access under organisational control.
External tools and MCP connections register with owners, access rules, and policy attachment, so assistants inherit the same governance model as production agents.
Your infrastructure. Scoped execution.
Run agents, applications, and sandboxes on infrastructure you control — with isolation matched to risk and secret scopes limited to each workload.
Choose the boundary that fits the workflow: shared cloud for validation, dedicated tenants for production, European cloud for residency, on-premises for control, or air-gapped for the highest sensitivity.
High-risk actions execute only inside approved runtime boundaries. That keeps operational intelligence useful without handing over control.
- Private cloud on infrastructure you control
- Isolated sandboxes for agent code
- GPU capacity for open-weight models
- Secret scopes per workload
Proof for security, legal, and procurement — not promises.
Every material action can leave a trail: who acted, with which context, under which policy, with which approval, and with which outcome. Evidence packs make that reviewable.
Regulated buyers do not buy slogans. They buy reviewable proof. Evidence packs bundle the decision trail, approvals, policies, and related records for vendor and internal review.
Answers and actions can be traced back to sources, models, prompts, policies, users, and approvals — so operational intelligence remains accountable.
Shared control planes under every experience.
Security and governance are not separate product layers beside Data or Apps. They are shared control planes that protect Workplace, Ontology, Intel, and the rest.
Identity
Who is acting, for which organisation
Security
Access, isolation, and protected boundaries
Governance
Policy checks and human approvals
Integration
Connections to systems you already run
Observability
Traces and operational visibility
Evidence
Exportable proof for audit and review
Lifecycle
Version, promote, and retire with control
Choose the boundary that fits the workflow.
NeuroCluster deploys on your terms — from managed validation environments to sovereign air-gapped clusters. Installation profiles match team size, sector constraints, and procurement requirements.
Most open
Fully closed
Shared validation
Open outer boundaryA fast, isolated tenant on shared European capacity to validate one use case.
- Multi-tenant isolation
- European region
- Fastest to start
Internet egress
Governed by policy
Who operates
NeuroCluster (EU team)
Model updates
Continuous
Air-gapped
- No external network paths
- Offline signed updates
- Sovereign & government workloads
On-premises
- Runs in your datacenter
- Identity-integrated
- Full operational control
European cloud
- EU data residency
- GDPR-first architecture
- Managed sovereign services
Dedicated tenant
- Isolated operating boundary
- HA, Vault, SCIM
- Evidence packs & backup/DR
Shared cloud
- Validation & early production
- Fastest start
- Innovation Center entry point
No data leaves your jurisdiction. No black-box AI. No compromises on control. This is sovereignty by design.
Sovereign AI infrastructure at scale.
Distributed GPU compute, orchestration, and vector infrastructure — deployed as a private AI cloud with European residency options.
GPU Clusters
Datacenter and on-premises inference for training and production workloads, with tenant-isolated compute boundaries.
Kubernetes Platform
GitOps-managed services, Helm deployments, Firecracker sandboxes, and horizontal agent runtime scaling.
Distributed AI Compute
Horizontally scaled inference, model routing through the AI gateway, and workload-aware scheduling.
Vector Infrastructure
Embeddings pipelines, Qdrant vector stores, and governed retrieval integrated with the Data Layer.
AI Datacenter
European deployment options with residency controls, procurement-ready documentation, and sovereign hosting patterns.
Private AI Cloud
Fully private or air-gapped environments for regulated sectors — no dependency on external inference APIs.
Put operational intelligence into production
Talk to our team about Workplace, Ontology, Intel, and sovereign runtime — with governance, audit evidence, and procurement-ready documentation.