Financial services & fintech
Regulators want lineage. Product teams want real time. Your platform has to deliver both.
We build data platforms where every reported number can be traced to source, and transaction data reaches fraud and credit models in seconds.
The data problems we see
In financial services & fintech, the same four issues come up
Regulatory reports assembled by hand
Finance and risk teams reconcile spreadsheets from five systems before every submission, and nobody can show the regulator full lineage.
Batch data in a real-time business
Payments, fraud and customer apps need events in seconds, but the warehouse refreshes overnight.
Model risk without data controls
Credit and fraud models are validated, but the features feeding them change without notice or version history.
Ledger and core-banking data locked in legacy systems
Mainframe and on-premises warehouse extracts are the only route to core data, and each new use case needs another extract.
Regulation
Rules that touch your data
We design controls for these from the start, so audit evidence is a by-product of how the platform runs.
- SOX
- Controls over financial reporting for listed companies: change management, access control and evidence for every pipeline feeding reported numbers.
- DORA
- EU Digital Operational Resilience Act: ICT risk management, incident reporting, resilience testing and third-party oversight for EU financial entities.
- PCI DSS
- Cardholder data protection: segmentation, encryption, tokenisation and access logging wherever card data lands in the platform.
- GLBA & NYDFS Part 500
- Safeguards for consumer financial information and cybersecurity requirements for New York regulated entities.
- GDPR / CCPA
- Data subject rights, purpose limitation and retention across every copy of customer data.
Use cases
What we build
- 01
Regulatory reporting lineage
Column-level lineage and reconciliation from source systems to every figure in a regulatory return.
- 02
Real-time transaction pipelines
Streaming payments and ledger events into fraud, AML and customer-facing applications with seconds of latency.
- 03
Feature platforms for credit and fraud models
Versioned, tested features with point-in-time correctness for model validation and audit.
- 04
GenAI for operations and compliance
Permission-aware retrieval over policies, procedures and case notes for analysts and agents.
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