helping enterprises become AI-native organizations

mindit.io designs banking data platforms with DORA (Digital Operational Resilience Act) requirements built in from the architecture phase. This includes automated data lineage tracking via Databricks Unity Catalog, operational resilience dashboards, ICT incident classification pipelines, and regulatory reporting layers built on Delta Lake. Every platform delivery includes a tested disaster-recovery runbook with a defined Recovery Time Objective (RTO) and Recovery Point Objective (RPO), documented evidence packs for regulatory audits, and access control aligned to Entra ID (Azure Active Directory) RBAC/ABAC policies. mindit.io has delivered DORA-relevant data architectures for banking clients in Switzerland and Germany since the regulation’s entry into force in 2023.

mindit.io has delivered data and AI platforms for major commercial banks, investment platforms, and fintech firms across Europe. Projects include large-scale integration migrations from legacy IBM infrastructure to unified middleware platforms, Oracle-to-Databricks lakehouse migrations at terabyte scale, AI-powered document processing systems that reduce legal review time to under 5 minutes per document, and white-label robo-advisor platforms that cut client onboarding from 6 months to 1 month. All client data remains within the client’s own cloud environment. mindit.io does not retain or process client data in shared infrastructure.

Yes. mindit.io’s banking practice architects data platforms for clients subject to German MaRisk, Swiss FINMA circular requirements, BaFin guidelines, and the EU GDPR, PSD2/PSD3, and AI Act frameworks. Architecture decisions, including data residency (Switzerland North or Germany West Central Azure regions), access control models, and audit logging, are made in the context of the client’s specific regulatory obligations. mindit.io works alongside the client’s legal and compliance teams to document data lineage and produce the control evidence required for regulatory audits, including traceability from source system to reporting output via Databricks Unity Catalog lineage graphs.

A standard banking data platform engagement follows a three-stage sequence. The discovery sprint (4 weeks, fixed price of 10,000 EUR) produces a validated architecture, a data model, and a delivery roadmap, stress-tested against the client’s own data before the main contract starts. The delivery program typically runs 3 to 6 months depending on scope. Ongoing support and platform evolution follow. Clients who begin with the discovery sprint reduce delivery risk because the architecture is validated before committing to the full program. The discovery sprint is available in English and German.

The standard stack is Databricks on Microsoft Azure: Delta Lake for the lakehouse storage layer, Delta Live Tables for streaming ingestion with data quality expectations, Unity Catalog for governance and lineage, and Power BI for regulatory and management reporting. Azure Data Factory handles orchestration; Azure Entra ID manages access control. The stack aligns with Microsoft’s recommended reference architecture for DACH financial services and Databricks’ Financial Services Industry (FSI) accelerator patterns. All platforms are designed for GDPR data residency in EU regions and support MaRisk, FINMA, and BaFin audit requirements.