Success in industries like automotive finance and lending is becoming more and more dependent on having access to financial data and real-time payments. To ensure as many organisations have the opportunity to access these, Thinslices, a full-service product development company, and Salt Edge, the open banking solutions provider, have announced a new partnership.
The partnership marks the beginning of a long-term collaboration and brings together Salt Edge’s financial data connectivity and payment initiation capabilities with Thinslices’ expertise in system integration and front-end development. The goal is to simplify access to open banking infrastructure while accelerating time-to-market for innovative financial solutions.
“By combining our strengths, we’re helping businesses build smarter financial products faster. It’s a solid step forward in making open banking more practical and scalable across industries,” said Stefan Sarbu, chief executive officer at Thinslices.
By leveraging Salt Edge’s aggregation of data from 5,000+ financial institutions across 50+ countries, businesses across various industries gain deeper insights, automate financial workflows, and integrate secure payment options into their digital products. With Ivory’s white-label solutions, the collaboration also offers cost-efficient front-end development, making high-quality fintech products more accessible.

“At Salt Edge, we’re committed to making financial data more accessible and actionable for businesses across industries. Together with Thinslices, we’re streamlining open banking adoption, helping businesses reduce integration complexity, enhance decision-making, and unlock new payment possibilities,” said Maria Rusu, business development manager at Salt Edge.
This partnership sets out to overcome some of the biggest hurdles in financial data management, such as:
- Simplifying integration with thousands of banks and financial institutions
- Lowering front-end development costs via white-label solutions
- Advancing features like automated categorisation, fraud detection, and data enrichment