Flanks operates at the intersection of wealth management and data infrastructure, building a modular platform that ingests fragmented financial data from more than 600 institutions worldwide and converts it into standardized, actionable insights. Founded in Barcelona in 2019, the company processes over 500,000 portfolios monthly across 15+ countries, covering more than €39 billion in assets. The technical challenge centers on connectivity - achieving 95% coverage of EU financial entities while maintaining data quality - and automation, where the platform claims to eliminate up to 80% of manual processes that typically bog down wealth managers.
The stack runs on GCP and Kubernetes, with Python, TypeScript, and JavaScript handling the core platform logic. The threat model is financial data integrity at scale: aggregating position data, transactions, and market information from disparate sources without introducing reconciliation errors or exposing sensitive client information. Flanks serves banks, family offices, asset managers, and pension providers - entities where data accuracy isn't optional and regulatory reporting demands precision. The company raised €23 million to build out this infrastructure, competing in a space where legacy systems still dominate and where modularity matters because no two wealth management workflows are identical.
The engineering work involves financial integrations, real-time data pipelines, analytics tooling, and personalization engines that adapt advice models to individual portfolios. It's infrastructure-heavy fintech: less consumer-facing polish, more backend reliability and regulatory compliance. The scale metrics suggest operational maturity - processing half a million portfolios monthly requires robust data validation, error handling, and performance tuning across distributed systems.
