Classify transactions according to your needs
finleap connect’s categorization engine combines a high degree of accuracy with flexibility across multiple use cases. Coupling machine with an active learning approach, along with several steps of data enrichment, we can accurately “categorize” a transaction. Our multi-model approach also supports this process for a range of industries. Whether supporting holistic personal or business finance management products or identifying marketing or risk signals, our modular approach can be easily adapted.
Active learning guarantees that the system is always up to date even as formats and types of transactions evolve. The “human-in-the-loop” approach adds an extra layer of quality assurance driven by our domain experts.
Business Finance Management
We believe… providing high performing categorization for business transactions is the basis of business financial management tools.
The problem… is the significant complexity of business transactions and the diversity of possible use cases.
Our solution… highly precise categorization modules combined with our strong domain knowledge.
Personal Finance Management
We believe… building a compelling personal finance application requires smart and flexible categorization.
The problem… keeping up with new vendors or new payment methods to make sure they can be categorized automatically.
Our solution… is a supervised active learning approach that combines a high degree of domain knowledge with self learning capabilities.
Detecting Risk and Marketing Signals
We believe… transaction data is full of valuable information about the account holder.
The problem… is developing the ability to identify the right events within a pool of transactions while lacking the appropriate level of context.
Our solution… specifically trained models that have demonstrated strong performance for these types of problems.
The modular product structure makes it quick and easy for you to add relevant financial services to your existing application, product and service range.