Finteum operates an interbank platform that facilitates intraday FX swaps and repo transactions, allowing bank treasurers to lend and borrow liquidity for short durations. This addresses the inefficiencies in current intraday liquidity management, enabling banks to optimize their liquidity buffers and reduce associated costs.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.


Founders
Product
Problem
Banks face inefficiencies in intraday liquidity management due to unpredictable transaction timings, increasing real-time payment requirements, and rising liquidity buffer costs. Existing mechanisms like agent bank credit lines and central bank intraday borrowing are inadequate for efficient balance sheet management, leading to suboptimal deployment of capital and increased operational risk.
Solution
Finteum offers an interbank platform that facilitates intraday FX swaps and repo transactions, enabling banks to lend and borrow liquidity for short durations. This allows front office and treasury teams to efficiently meet temporary liquidity needs and optimize intraday liquidity buffers. The platform's distributed ledger technology (DLT) architecture reduces settlement timeframes and the risk of fails. By providing access to a new revenue stream and optimizing intraday liquidity, Finteum helps banks improve their profitability and reduce reliance on expensive credit lines.
Target Audience
The primary target audience includes bank front office and treasury teams, as well as professionals in FX, Repo, Treasury, ALM, Operations, Risk, and Technology departments within banks.
Features
- Matching engine for banks to lend and borrow for hours at a time through intraday FX swaps and intraday repo markets
- Support for pre-agreed intraday trades, including for T+1, to cover known upcoming requirements or urgent needs
- Distributed ledger technology (DLT) architecture for reduced settlement timeframes and risk of fails
- Optimization of standard intraday profiles by flattening usages "peaks and troughs" throughout the day