Transform raw data into tangible insights using machine learning. With Tink’s data enrichment, you can create new user experiences by extracting the real value from financial data.
Cleaning up the data by removing duplicates or making transactions easy to understand is just the first step – we also add value to data by categorising it.
With seven years of experience analysing billions of transactions, our machine learning models are way ahead of the game. And they just keep getting smarter.
Our platform is built for handling billions of transactions, so we can provide enrichment services no matter how big your business – or your growth ambitions.
Here are some examples of how our customers are using data enrichment to create better user experiences:
Portugal’s leading bank, Caixa Geral de Depósitos wanted to give Portuguese consumers a tool to better understand and manage their finances.
So they launched DABOX, a standalone app that uses Tink’s data enrichment to let customers see their transactions in a format that’s easy to understand, all neatly sorted into categories.
Tink Link, our front-end SDK for end-user authentication, gives you access to over 3,400 banks while providing friction-free authentication for your users. All with a single line of code.
Data enrichment is a process that keeps evolving over time. Categorisation has no value if it’s static – so we take in both global and individual preferences to keep improving. We make sure things work at scale – and to the highest standards.
Refinement of our machine learning models
Available transaction categories