OperationsOwn InfrastructureHigh complexity
EU-Hosted AI for Banking Data
Use language models on trading, client and supervisory data that cannot leave the bank's control or the EU.
How we approach it
Open-weight models served on the bank's own GPUs or a sovereign EU cloud, sized to the workloads that need them. Models come from a vetted internal registry, and no prompt or output leaves the perimeter. Access goes through the bank's identity provider and every request is logged. One platform serves several use cases, so the cost is shared.
Business value
AI on the most sensitive data without a transfer to a third party
Technology stack
- vLLM
- open-weight models
- Kubernetes
- private model registry
- SIEM
Related service
Infrastructure & MLOpsFurther reading
Related use cases
- Financial Services · OperationsTrade ReconciliationMatch trades across front office, back office, prime brokers and custodians without manual spreadsheet work.
- Financial Services · OperationsKYC Document ProcessingOnboard customers quickly while generated ID documents and injected selfies get harder to spot.
- Financial Services · RiskCredit Risk AssessmentScore borrowers on financials, payment history and macroeconomic data, with decisions that a credit committee, a customer and a supervisor can each follow.