From blocked AI pilotto governed production.
NeuroCluster helps regulated European organisations move one high-value AI workflow from blocked pilot to reviewable production through a structured programme, explicit deployment boundaries, and governance evidence security, legal, and procurement can assess.
Built for regulated teams evaluating AI under security, legal, and procurement scrutiny.
AI that works for your organisation — not against your compliance team.
European deployment boundaries, made explicit.
Understand where workloads run, which entities contract with you, how residency is handled, and what sits inside or outside the deployment boundary.
A deployment path security can approve.
Start with a scoped environment, validate the use case, then move to the deployment model that matches sensitivity, integration, and control requirements.
Governance controls built into execution.
Approval gates, access controls, and audit logs are part of the operating model so legal, security, and architecture teams can review how the system is run.
AI ambition is not the problem. Controlled production is.
Most regulated organisations do not lack use cases. They lack a path that security, legal, procurement, and delivery teams can all approve.
Compliance Blockers
AI projects stall because deployment boundaries, residency requirements, contracting structure, and control responsibilities are not clear enough to approve.
Governance Gaps
Teams can prototype quickly, but they still need approval points, access controls, logging, and escalation paths before AI can support a real business process.
Indefinite Timelines
Internal teams end up stitching together infrastructure, models, connectors, and governance controls without a clear route from pilot to rollout.
Start with one use case your organisation can approve.
The Innovation Center is a fixed-scope first engagement for regulated teams that need evidence before a platform commitment. It turns one priority workflow into a validated production decision.
- One priority workflow with defined success criteria
- Security, legal, delivery, and business stakeholders aligned early
- Deployment and governance requirements documented before rollout
- Platform path only after the use case is validated
Assess & Prioritise
We identify the best first use case, define success criteria, review data readiness, and map the deployment and governance constraints before delivery starts.
Build & Validate
We implement the use case in a controlled environment, validate workflow quality with your team, and document the operational controls needed for production review.
Production Blueprint
You leave with an agreed rollout plan, deployment recommendation, ownership model, and a platform path that can carry the validated use case into production.
Priority use cases for regulated teams.
Energy & Infrastructure
Evaluate grid, maintenance, and reporting workflows where operational resilience and supplier controls matter.
Read moreGovernment & Public Sector
Validate citizen-service and document workflows with clear residency assumptions, review points, and accountability.
Read moreHealthcare
Assess clinical and administrative workflows that need careful data handling, oversight, and evidence trails.
Read moreLegal & Professional Services
Contract life-cycle management, regulatory mapping, and secure e-discovery powered by grounded LLMs.
Read moreThe enabling layer after the first use case is validated.
Governance & Audit Layer
Role boundaries, identity integration, approval points, and exportable logs that help teams evidence how a workflow operates.
AI Workflow Execution
Run models, agents, and orchestrated workflows inside an operating model that can include policy checks, review gates, and controlled tool use.
Enterprise Data Context
Connect approved repositories, retrieval layers, and internal systems while preserving the access assumptions needed for the chosen workflow.
Deployment Models
Choose shared, dedicated, or private deployment based on the workflow's sensitivity, integration needs, and internal control requirements.
Controls security and procurement can review.
Regulated AI needs a reviewable operating model.
European buyers are not only asking where infrastructure is hosted. They need to understand who operates it, which controls exist, what evidence can be exported, and which responsibilities stay with the customer.
Start with one use case
your organisation can approve.
Request a regulated AI assessment. We will review the use case, constraints, stakeholders, and likely deployment route before recommending whether the Innovation Center is the right next step.
Tell us about the blocked use case