AI-powered financial products stand or fall with the quality of the data they are built upon. Portfolio positions, securities transactions, tax-relevant events – all this data must be structured, normalized, and available in a regulation-compliant manner before a model can process it meaningfully. For wealthAPI, this is not a new insight. It’s what we’ve been building infrastructure for for years.

The Real Bottleneck is Data Quality

Anyone building an AI-powered financial product today, such as a budget planner, a portfolio tracker, or a “Financial Home,” will sooner or later encounter the same problem: raw data from bank connections is heterogeneous, incomplete, and rarely production-ready.

Custody account positions come in different formats, transaction histories show gaps, tax-relevant events such as dividends, partial exemptions, or advance lump sums are missing or not machine-readable. Before a model can even be trained or a feature calculated, these data streams must be normalized, validated, and structured.

This is not a minor issue. It is the central challenge for anyone seriously working on AI applications in wealth management today.

What Generic Open Banking Providers Don’t Solve

PSD2-based account information services cover payment accounts, i.e., current accounts, credit cards, and call money accounts. They are not structurally designed for investment data. Custody account access, securities transactions, tax events: This requires different data, with different regulatory requirements and different technical complexity. wealthAPI addresses precisely this area. As a BaFin-licensed account information service provider, wealthAPI aggregates wealth data from custody accounts and bank accounts, structured, normalized, and regulation-compliant. The connection includes over 3500 banks and brokers relevant to the investment segment in Germany and Europe.

The result: financial platforms like extra.etf or onvista, banks, and asset managers receive data that can be directly integrated into product logic. And all this without extensive post-processing and without loss of quality.

New Positioning: What Has Changed – and What Hasn’t

wealthAPI has sharpened its communicative positioning. Slogan, Vision, and Mission Statement now better describe our own aspirations for modern financial products in the age of Open Finance and AI.

Slogan: First-Class Wealth Data for the AI Era in Finance

Mission: wealthAPI provides secure, regulation-compliant infrastructure for high-quality banking and brokerage data – the foundation upon which modern financial products are built. By transforming complex, heterogeneous data streams into production-ready systems, we enable companies to provide their customers with tailored financial solutions with short time-to-market cycles.

Vision: wealthAPI is connected to every European bank, making it Europe’s leading provider of high-quality personal wealth data. We provide a modular ecosystem of data and tools, thereby shaping the next generation of digital financial management.

What hasn’t changed is our substance. André Rabenstein, CEO of wealthAPI, explains:

“wealthAPI is the market leader for high-quality financial data in Germany and has long implemented AI and Machine Learning where it makes sense. We wanted this internal principle, according to which we operate, to be more strongly perceived externally.”

The new communicative positioning is therefore not a strategic change of course, but a clarification: the external presentation is catching up with what has long been internal practice.

Open Finance: The Market Overtakes Regulation

FiDA (Financial Data Access Regulation) aims to legally anchor structured access to investment data. The timeline has already shifted several times, and its entry into force remains uncertain.

This does not fundamentally change market dynamics. Fintechs, banks, and asset managers are already building AI-powered products today that require structured investment data. Those who wait until FiDA comes into force lose development time. Open Finance is happening – with or without a regulatory framework.

For wealthAPI, this means: The demand for high-quality, structured wealth data infrastructure is growing regardless of regulatory progress. The infrastructure is already in place.

Conclusion

Every AI application in finance is only as good as the data it is built upon. wealthAPI provides the infrastructure companies need to build this foundation: regulation-compliant, production-ready, and with the depth required by the investment segment.