Heavy Industry, Manufacturing and Semiconductors
Heavy industry, manufacturing and semiconductor firms want optimised lines and defect-free output without surrendering the trade secrets that define them. Process recipes, lithography files and material formulas are among the most-targeted data in industrial cyberattacks, and exporting them to a shared cloud creates both a theft surface and an export-control exposure. That is why the cloud is barred from the floor. Mickai runs air-gapped yield optimisation and floor-level vision defect detection on hardware the customer owns, under keys they hold, so the blueprints and the production data never leave the building.
Heavy industry, manufacturing and semiconductor firms running high-value lines where process IP is the core asset.
Trade secrets, lithography files and formulas are among the most-targeted data in cyberattacks, and shipping them to a shared cloud adds export-control and third-party-processing exposure on top.
Mickai runs air-gapped yield optimisation and floor-level vision defect detection on hardware the customer owns, under keys they hold, independent of the internet and cloud vendors.
Optimised lines and protected blueprints stay inside the factory walls, so what happens in the server room stays in the server room and no third party ever sees it.
These architectural choices support control over the workflows in your deployment. Their benefits depend on configuration, integrations and operating practices. Review external connections, physical security, access and compliance responsibilities together.
Scope inference, extraction, retrieval and storage on infrastructure you control. Document and test any external connector, support channel or transfer before describing a workflow as zero-egress.
Workflows with local models, data and supporting services can continue offline. Live external email, calendars and other services need an approved connection or controlled import, with clear unavailable and pending states.
Map prompts, documents, indexes, logs and backups to their processing and storage locations. Local hosting supports control of location; access, retention and any transfers still need review.
Prepare and classify source records, preserve permissions and evaluate answers against the originals. Retrieval and model training are separate choices; agree data use and licences for each.
Compare hardware and licences alongside integration, power, administration, support, updates, evaluation and recovery. Measure cost at the required workload and quality before claiming savings.
Define who holds keys, who can administer the system and which actions need approval. Test denied requests, revoked access and audit records. Physical security, insider risk and incident response remain operational responsibilities.
Agree version selection, signed update procedures, rollback, data export and licence rights. Reassess requirements as software and obligations change; owning hardware does not remove maintenance or compliance work.
Review the requirements relevant to your organisation, jurisdiction and intended use with your responsible teams. Cloud services can be appropriate subject to applicable safeguards; on-premise deployment alone does not establish compliance or remove supplier responsibilities.
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. Scope their local processing, operator-held keys and Open Audit Record coverage for the proposed deployment. Confirm availability and any external integrations before relying on a workflow.
Predictive Maintenance and OT
Reads sensor and OT telemetry from the line to predict failures and schedule maintenance, keeping machine data and control signals inside the plant network rather than streamed to a vendor cloud.
Demand Forecasting
Forecasts demand against production capacity so output and stock levels are tuned to real orders, with the underlying commercial data held on-site.
Inventory and Warehouse
Optimises raw-material, work-in-progress and finished-goods stock across the plant and warehouse, tying replenishment to forecast and line throughput.
Fraud and Anomaly Detection
Flags anomalies in process data and floor-level vision feeds, surfacing yield-loss patterns, defects and tampering without exposing the recipes that generate them.
Executive BI
Gives plant and group leadership a single view of yield, throughput, downtime and cost, computed on the customer's own hardware so the operating picture stays private.
See all eighteen on the sovereign services catalogue.
Industrial operators are under sustained pressure to raise yield and reduce unplanned downtime while their most valuable process IP is precisely what attackers and state-linked actors pursue, leaving a wide gap between the AI tooling they need and the cloud delivery model they cannot accept. An on-premises, air-gapped substrate that keeps optimisation and inspection inside the plant addresses a buyer that current cloud-first vendors structurally cannot serve.
Measure value, cost and risk on hardware you control.
Higher first-pass yield and fewer scrapped wafers and parts mean recovered margin on every shift, while predictive maintenance converts unplanned line stoppages into scheduled work. Running on owned hardware displaces recurring per-seat and per-inference cloud spend, and keeping recipes, lithography files and formulas on-site removes the third-party cloud-exposure vector; physical and insider controls remain yours.
Map the sovereign stack to your heavy industry, manufacturing and semiconductors 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.