Europe’s Digital Awakening: How a Polish Platform Challenges Tech Giants in Big Data

Paweł Wieczyński, CEO of DataWalk, explains how the Polish-born analytical platform provides a sovereign alternative to industry giants by enabling institutions to process vast, complex, and distributed datasets.

An Alternative to Palantir

DataWalk is not a copy of Palantir, but a European-originated alternative designed to give clients full control over their infrastructure and data. Unlike models that rely on “forward deployed engineers,” DataWalk provides a system that is easy to implement and maintain without requiring extensive coding, allowing clients to take full responsibility for their analytical processes.

While DataWalk and Palantir share similar problem sets regarding the integration of scattered data, DataWalk specializes in enterprise-class data analytics rather than battlefield management tools like Maven. DataWalk has been selected as an alternative to Palantir by departments within the United States government, proving its competitiveness in high-stakes environments.

Processing Billions of Data Objects

DataWalk functions like a digital version of a physical detective’s corkboard, connecting millions or billions of data points to reveal hidden relationships. While LLMs are useful for linguistic tasks, they are not designed to query billions of objects; DataWalk’s enterprise architecture uses graph algorithms like “Find Path” to identify links between people, vehicles, and events across massive datasets.

The system excels by integrating graph and relational database structures into a single repository, which improves scalability compared to traditional, fragmented systems. By avoiding the need for multiple data copies, clients can perform complex analytical operations synergistically and efficiently.

Transparency and Auditability

In contrast to “black box” AI models, DataWalk is built for human augmentation, ensuring that every analytical decision is auditable and understandable. This is critical for regulated sectors like banking, where clients must explain how decisions are made. By embedding AI models within a knowledge graph, DataWalk reduces hallucinations and provides the determinism required for regulatory compliance.

The platform enables institutions to build digital twins of their data, extracting insights from various legacy systems into a unified knowledge graph. This approach allows for advanced scoring, automated alarms, and agentic AI, helping organizations manage complex processes like Know Your Customer (KYC) much more efficiently than manual teams could.

Global Ambitions and Ethical Standards

DataWalk maintains a strict ethical policy, refusing to sell its technology to clients on international sanction lists or entities associated with questionable human rights records. The platform is used by institutions ranging from the United Nations to major financial organizations like Barclays and Ally Bank, serving as a powerful tool for law enforcement to track financial crimes and human rights violations.

Despite being a public company on the Warsaw Stock Exchange, DataWalk operates with a long-term view characteristic of deep tech firms. The transition to a subscription-based model ensures repeatable revenue and aligns the company with modern enterprise IT standards, even as it continues to invest heavily in technological innovation to compete on the global stage.