Creditsafe and Seiza Partner to Revolutionize Privacy-First Data Collaboration in Fintech

Creditsafe and Seiza have partnered to solve the fundamental tension between data collaboration and privacy compliance. By deploying privacy-preserving infrastructure that allows insights to be shared without moving raw customer data, the collaboration enables financial institutions to improve affordability assessments and fraud detection while adhering to increasingly stringent global data protection standards and maintaining consumer trust.

What was announced

On 12 October 2026, global business intelligence provider Creditsafe and Seiza, a UK-based specialist in secure data infrastructure, revealed a partnership focused on creating a new model for data collaboration. The initiative is designed to allow banks, lenders, and other commercial enterprises to access richer, more timely insights without the traditional risks associated with data migration and physical storage of third-party information.

The core of the partnership is a technology framework that identifies common customers across different participating organisations using privacy-preserving protocols. Instead of transferring personal data, the system allows for the exchange of "trusted signals." These are authorised insights generated for specific decision-making purposes, ensuring that the underlying customer data never leaves the secure environment of the organisation that originally collected it. This approach allows organisations to collaborate in ways that have historically been blocked by security concerns or regulatory constraints.

The partnership specifically targets three critical areas in financial services: affordability assessment, fraud prevention, and financial inclusion. By enabling a more holistic view of a customer’s financial behaviour through these shared signals, the companies aim to facilitate better-informed lending decisions. This is particularly relevant for improving outcomes for consumers who may be underserved by traditional credit scoring models. The collaboration intends to demonstrate that the industry can achieve high-level data utility without compromising the privacy or security of the individuals involved.

"Innovation has been at the heart of Creditsafe for more than 25 years. We work with partners whose technology genuinely improves outcomes for businesses and consumers alike. This partnership reflects our commitment to helping organisations make more informed decisions through trusted data and insight, while maintaining the highest standards of privacy and security."

Dan Weaver, Product Strategy at Creditsafe UK.

The companies involved

Creditsafe is a prominent global provider of business intelligence and credit information. For over 25 years, the company has focused on providing data-driven insights that help businesses manage risk, perform due diligence, and identify commercial opportunities. As a major player in the global business data ecosystem, Creditsafe maintains a vast repository of information used by organisations of all sizes to make critical financial and operational decisions. The company has established itself as a key node for credit scoring and business verification across multiple international markets.

Seiza is a UK technology company that specialises in the development of secure, privacy-preserving data infrastructure. The firm was founded to rethink the mechanics of organisational data collaboration, moving away from centralisation toward a model where data remains under the control of the original holder. Seiza was co-founded by Francis Armour, who brought more than 30 years of experience in the banking sector to the company’s development. This deep institutional background has shaped Seiza’s focus on addressing the specific security, compliance, and privacy challenges faced by large financial institutions. The company’s technology is designed to enable the access of trusted insights while maintaining absolute data sovereignty for its users.

What this means

This partnership represents a significant pivot in how the financial services industry handles the "data vs. privacy" trade-off. By moving toward an insight-exchange model, Creditsafe and Seiza are addressing the growing regulatory pressure that makes traditional data sharing an increasing liability. This shift puts significant pressure on legacy credit bureaus and data brokers who rely on the physical ingestion and centralisation of third-party data lakes. The success of this model will likely depend on the industry's willingness to standardise these "trusted signals" across different platforms. It raises a critical question for the sector: can high-stakes lending decisions be made effectively using derived signals alone, or will the lack of access to raw underlying data eventually create new blind spots in risk modelling?