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Private AI infrastructure for fraud detection, risk modelling, regulatory compliance and algorithmic trading — deployed within your controlled infrastructure with complete data sovereignty.
Financial institutions operate under some of the most stringent regulatory, security and operational requirements of any sector. Transaction data is sensitive, models are proprietary, and compliance failures carry severe consequences — financial, legal and reputational. NOVACORE AI delivers private AI platforms purpose-built for banking, insurance, asset management and fintech organisations. Our systems operate within your infrastructure, under your governance, with models that never learn from your transaction data and prompts that never leave your perimeter. From real-time fraud detection across millions of transactions to scenario-based risk modelling that runs on dedicated GPU infrastructure, every deployment is designed for auditability, explainability and regulatory defensibility. We understand the regulatory landscape across European jurisdictions — including PSD2, MiFID II, Solvency II and GDPR — and embed compliance evidence into every layer of the stack.
Real-time transaction monitoring, anomaly detection and behavioural analytics powered by private AI models. Identify fraudulent patterns across payment rails, account activity and customer behaviour — with explainable outputs that satisfy regulatory review and internal audit requirements.
Scenario-based risk analysis, stress testing and portfolio risk assessment running on dedicated GPU infrastructure. Run thousands of simulated scenarios with full model lineage tracking — so every output can be traced back to its inputs, assumptions and model version.
AI-assisted regulatory compliance including AML/KYC automation, transaction monitoring rule engines and regulatory reporting. Natural language processing for regulation changes across jurisdictions — identifying obligations before they become compliance gaps.
Private AI infrastructure for quantitative research, backtesting and execution. Proprietary models stay on your infrastructure. Low-latency GPU inference for signal generation, portfolio optimisation and market impact analysis.
Private AI for customer segmentation, churn prediction, lifetime value modelling and next-best-action recommendation — all within your controlled environment. Customer data never leaves your infrastructure and never trains shared models.
Automated processing of loan applications, insurance claims, legal contracts and regulatory filings. Extract, classify and validate structured data from unstructured documents with full audit trails and version tracking.
| Regulation | Scope | NOVACORE Support |
|---|---|---|
| GDPR | Data protection and privacy | Built-in — data residency, encryption, retention controls |
| PSD2 / PSD3 | Payment services and open banking | API security, strong customer authentication, audit logging |
| MiFID II / MiFIR | Financial instruments and markets | Model lineage, algorithmic transparency, reporting evidence |
| Solvency II | Insurance capital adequacy | Risk model governance, scenario documentation, validation |
| DORA | Digital operational resilience | Incident response, resilience testing, third-party risk management |
Regulated financial institutions require model risk management frameworks that satisfy supervisory review. NOVACORE deployments include complete model lineage — every inference result can be traced to the specific model version, training data provenance, fine-tuning parameters and validation evidence. Models are never trained on customer transaction data. Model cards, evaluation benchmarks and bias assessments are maintained for every model in production.
Secure AI and high-performance computing for enterprises, governments and research.