Critical Infrastructure, Maritime and Energy
Grid operators, port and maritime authorities, generators and pipeline operators want to run modern AI over their SCADA logs, OT telemetry and network schematics, yet NIS 2 and NERC CIP treat that data as too sensitive to place on commercial cloud, and IEC 62443 expects operational technology to stay isolated from internet-facing systems. The cloud route is effectively barred, so the analysis either does not happen or happens on spreadsheets and tribal knowledge. Mickai brings the full AI stack inside the isolated control room, on hardware the operator owns and under keys the operator holds. Predictive maintenance, vulnerability analysis and threat simulation run against live OT data while that data never leaves the building.
Critical-infrastructure, maritime and energy operators running OT, SCADA and bulk-grid systems under national resilience mandates.
NIS 2, NERC CIP and IEC 62443 forbid OT schematics and grid data on commercial cloud, stranding these operators without a compliant path to modern AI.
Mickai installs the entire AI stack inside the isolated control room, on owned hardware under the operator's own keys, running independent of the internet and cloud vendors.
Predictive maintenance, vulnerability analysis and threat simulation run against live OT data on-site, which removes the third-party cloud-exposure vector for that data while the operator keeps its own physical, insider and regulatory controls.
Five advantages hold across every sector, and they are architectural, not promotional. The third-party cloud-exposure vector is removed; your own physical, insider, and compliance controls remain yours.
The data never leaves your hardware, so no third party and no cloud-provider employee ever sees it. What happens in the server room stays in the server room.
You own the compute and the capability, so the system runs independent of the internet and of any cloud vendor's pricing, terms, or availability.
The data never crosses a geographical or digital border because it never leaves the building, which removes the cross-border-transfer and third-party-processing friction of UK GDPR, Schrems II, and the sector rules. You keep your own obligations.
Fine-tune and run retrieval on your deepest archives to build a hyper-customised co-pilot, with no risk of your proprietary edge training a public model or leaking.
After the hardware and licence, queries cost essentially electricity. A capital asset you own and depreciate, instead of volatile per-token cloud bills.
There is no third-party cloud path, so no competitor and no vendor insider can scrape, intercept, or subpoena your prompts or your fine-tuned weights from the internet. The trust vault is closed by architecture.
You own the software snapshot on your own hardware, so a change to a cloud vendor's terms, a model deprecation, or an outage cannot reach you. The system stays predictable and auditable on-premise as the rules evolve.
The specific rules that bar mainstream cloud AI from this sector's regulated data. Each one demands a named, auditable perimeter the operator controls, which a shared multi-tenant cloud cannot give.
The kind of organisation this serves, named illustratively from public information to characterise the market. These are target profiles, not customers: Mickai has no relationship, engagement, trial, or endorsement with any of them.
The enterprise studios that lead in this sector, drawn from the eighteen that sit on the one sovereign substrate. Each runs on hardware the organisation owns, under one set of operator-held keys, writing to one Open Audit Record.
Predictive Maintenance and OT
Runs predictive maintenance and failure analysis over SCADA and OT telemetry inside the air-gapped control room, so plant and grid data is modelled where it sits rather than shipped to a vendor cloud.
Fraud and Anomaly Detection
Performs off-grid anomaly detection and threat simulation across control-system logs, flagging abnormal command and sensor patterns without exposing the topology of the network to any external system.
Compliance and Regulator Mode
Maps activity to NIS 2, NERC CIP and IEC 62443 obligations and produces regulator-ready evidence on-site, removing the cross-border-transfer and third-party-processing friction while the operator keeps its own duties.
Audit
Holds an immutable on-premise audit trail of every model query and access event, so incident investigators and auditors can reconstruct what happened without that record ever touching the public internet.
Executive BI
Gives control-room leadership and the board a sovereign view of asset health, threat posture and resilience metrics, drawn from OT data that stays entirely within the facility.
See all eighteen on the sovereign services catalogue.
Critical-infrastructure operators are under simultaneous pressure to modernise ageing OT estates with AI and to keep that same data off commercial cloud, a tension that mainstream hyperscaler offerings cannot resolve. That leaves a large, regulation-protected segment of energy, maritime and utility operators with strong budgets and few compliant routes to advanced analytics.
Money won, money saved, risk removed, on hardware you own.
Operators gain predictive maintenance and threat simulation that were previously off-limits, displacing the recurring cloud-analytics spend they could never safely commit to and reducing unplanned-outage and forced-maintenance exposure. The third-party cloud-exposure vector for OT schematics and grid data is removed; physical and insider controls remain the operator's own, and the regulatory obligations stay with the operator.
Map the sovereign stack to your critical infrastructure, maritime and energy estate.
Briefings are for organisations weighing a sovereign, on-premises deployment. Tell us about your estate and we will walk the pack, the regulatory crosswalk, and the deployment that fits your estate.