Finance
Banks, insurers, and the wider financial sector hold the most regulated data on the planet, and the major institutions have already pulled mainstream cloud AI out of staff workflows. Model-risk and outsourcing duties demand a named, sealed, auditable substrate. Mickai delivers the finance department tools on hardware the firm owns, with every model decision sealed to a record a regulator can verify.
The chief risk officer and chief compliance officer of a bank, insurer, or financial-services firm.
They hold the most regulated data on the planet, and model-risk and outsourcing rules demand a named, sealed, auditable substrate that a shared cloud cannot provide.
The finance department studios run on hardware the firm owns, with every model decision sealed to a record a regulator can verify and the transaction data never egressing.
Fraud stopped and quote-to-bind accelerated, with the model and its inference substrate named in a model-risk register that satisfies SR 11-7, DORA, NYDFS Part 500, and FCA SYSC.
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.
Fraud and Anomaly Detection
AML, transaction monitoring, and trade surveillance that satisfies SR 11-7, OCC, and NYDFS model-risk rules, with the transaction data never egressing.
Underwriting and Actuarial
Risk scoring and claims adjudication with a fairness and explainability trail for the EU AI Act.
Finance and Accounting
Ledger analytics, audit working papers, and reconciliation, books closing faster on hardware you own.
Compliance and Regulator Mode
The door-opener: sealed audit and statute crosswalk across DORA, NYDFS 500, and FCA SYSC.
Executive BI
Board-grade natural-language analytics over governed on-prem data, nothing leaving the warehouse.
See all eighteen on the sovereign services catalogue.
The FCA authorises approximately 50,000 firms, of which a serviceable upper slice of roughly 5,000 has the data depth and budget to buy in the planning horizon. Priced at a blend of the Team and Department tiers, that gives a UK band of roughly 0.5 to 1.5 billion pounds, before the long tail of Solo-tier brokers. The forcing functions are already on record: JPMorgan, Bank of America, Citi, Goldman Sachs, Wells Fargo, Deutsche Bank, and Verizon all restricted or banned staff use of public generative AI.
Money won, money saved, risk removed, on hardware you own.
Money saved by stopping fraud losses and displacing stacked cloud-AI bills. Money won through faster quote-to-bind and better loss ratios. Risk removed because the model and its inference substrate are sealed and named in a model-risk register, with transaction and customer data never leaving the perimeter.
Map the sovereign stack to your finance 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.