Banking, insurance, and financial institutions have the data quality and security requirements that make Foundry a natural fit—when implemented correctly.
Financial institutions generate massive amounts of data—transaction records, customer information, market data, compliance logs, risk assessments. That data lives in core banking systems, payment processors, CRM platforms, data warehouses, and dozens of other sources.
Getting value from all that data means connecting it, cleaning it, and building applications that help detect fraud, manage risk, satisfy regulators, and serve customers. Foundry can do this, but financial services implementations have specific requirements around data lineage, audit trails, and security controls.
Connect transaction data from payment systems, account activity, device fingerprints, and external fraud databases. Build Workshop applications that let investigators examine suspicious patterns, trace relationships between accounts, and take action on potential fraud.
The ontology models entities (customers, accounts, transactions, devices) and their relationships. Action frameworks let analysts flag transactions, freeze accounts, or escalate cases—all tracked with full audit logs.
Aggregate credit risk, market risk, and operational risk data into unified views. Foundry pipelines can pull from trading systems, loan portfolios, and counterparty databases to calculate exposures and run stress tests.
Workshop dashboards give risk managers real-time visibility into positions, concentrations, and limit breaches. When something crosses a threshold, they see it immediately instead of waiting for overnight batch reports.
Financial institutions spend enormous effort on regulatory compliance—OFAC screening, SAR filing, stress testing, capital requirements. Foundry can automate much of this by maintaining clean, well-documented data pipelines that feed reporting applications.
Data lineage tracking shows exactly where each number in a regulatory report came from. If examiners ask questions, you have the full audit trail. If requirements change, you update transforms in one place rather than hunting through Excel spreadsheets.
Banks have customer data scattered across retail banking, wealth management, credit cards, mortgages, and insurance. Foundry can unify this into comprehensive customer profiles that work across business units.
Customer service reps see the complete relationship. Product teams identify cross-sell opportunities. Compliance teams have visibility for KYC and AML purposes. Everyone works from the same data rather than their own silo's incomplete view.
Financial services data integration is complex. Core banking systems from the 1980s running COBOL. Modern APIs from fintech partners. Real-time payment networks. Batch feeds from clearinghouses. Market data requiring sub-second latency.
We've integrated all of these. The approach varies—some systems need careful batch extracts, others support real-time streaming, some require custom connectors. The goal is reliable data flow without disrupting production systems that process billions of dollars daily.
Financial data has strict security requirements. Customer PII needs encryption and access controls. Payment card data requires PCI DSS compliance. Trading data might have insider trading concerns.
Foundry's security model handles this through object-level and property-level permissions, data masking, and comprehensive audit logging. We configure these controls to match your existing compliance framework and work with your security teams to validate the implementation.
Financial services can't tolerate data quality issues. A wrong number in a risk calculation could violate capital requirements. Bad transaction data could miss fraud or flag legitimate customers.
We build extensive data quality checks into pipelines—completeness validation, reconciliation against source systems, business rule verification. When checks fail, the right people get alerted before bad data propagates to downstream applications.
Banks and financial firms have rigorous vendor management and security review processes. We're familiar with this—providing documentation, completing security questionnaires, coordinating with your compliance teams.
Implementations typically happen in phases with extensive testing and validation at each stage. Nothing goes to production without your risk and compliance teams signing off. This is how it should be.
Tell us about your data sources and use cases. We'll walk through how Foundry could fit your environment.
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