Ant International has introduced Falcon Time-Series Transformer AI Model 2.0, its most advanced TST model so far designed to deliver more accurate forecasting in real-world FX risk management of cross-border payments, with more industry applications to come, such as demand forecasting for supply chain management for e-commerce platforms, and predictive operations management for aviation industry.
FalconTST 2.0 demonstrates State-of-the-Art performance on the Mean Absolute Scaled Error metric on a top global public evaluation benchmark for time-series foundational models. FalconTST 2.0 has achieved a MASE score of 0.666 and places it at the top of the leaderboard, surpassing other TST foundational models from leading global tech companies, with over 93% forecast accuracy consistently.
While large language models excel at learning relationships in text, TST models are especially critical in finance and payments, where liquidity needs, foreign-exchange movements, and transaction flows can shift rapidly. The financial information consists of continuously changing numerical data — transaction amounts, account balances, settlement flows, and currency positions. For a global payment institution, these forecasts directly impact capital efficiency. The value of AI prediction lies not just in calculating more accurately but in helping businesses know precisely when they need funds, how much they need, and in which currencies.
This forecasting capability is equally critical for foreign exchange management. An airline may collect ticket revenues in multiple currencies while needing to pay for aircraft leases, airport fees, and operating costs in different currencies. Companies typically use foreign exchange hedging to reduce currency fluctuation risk, but that requires them to determine how much of each currency they will receive and need.
Traditional forecasting systems typically build separate models for different tasks. TST foundational models take a different approach: FalconTST learns common patterns — cycles, trends, seasonality, and sudden shifts — from data across finance, retail, energy, travel, and economics.
The FalconTST is initially deployed internally at Ant International to manage cashflow and FX exposure on an hourly, daily and weekly basis, before having been integrated by leading global banks to their own FX hedging models, including Barclays, Citi, Deutsche Bank and Standard Chartered, to improve the cashflow forecasting and FX liquidity management capabilities for Ant International and its clients.
Barclays integrates the FalconTST Model into its FX hedging platform, BARX NetFX, while Citi combines FalconTST with their own Fixed FX Rates solution for FX risk management on e-commerce platforms or airlines. Standard Chartered uses the model alongside its SCALE FX system as part of both sides' participation in the PathFin.ai programme of the Monetary Authority of Singapore. All have now adopted the 2.0 version, leading to an improved forecasting accuracy of more than 93% consistently.
FalconTST 2.0 introduces several technical innovations that address real-world data challenges to improve forecasting accuracy, including advanced handling missing data that distinguishes missing data from actual zero values, powerful generalisation across domains through ORBIT learning common time-series patterns, and support for multiple time frequencies from second-level payment data to monthly economic indicators within a single architecture.
"Large language models have shown how AI can understand and generate information. FalconTST is about another capability that businesses increasingly need: understanding how the world changes over time, and anticipating what comes next. For us, the value of AI is not simply achieving a better forecasting score, but turning that predictive intelligence into real decisions—how much liquidity to prepare, how to manage FX exposure, and how to allocate capital more efficiently. FalconTST 2.0 is an important step toward making predictive AI a foundational capability for global businesses, across payments, accounts and broader financial services," said Jiang-Ming Yang, Chief Innovation Officer, Ant International.
"FalconTST helps global businesses — including our own — manage complex cash flow and FX exposure, so they can manage cross-border transactions with greater confidence. With FalconTST 1.0, clients saw real operational value and cost savings from better forecasting. With FalconTST 2.0, enhanced accuracy and precision let us extend those benefits to our banking partners as well as a broader range of customers across fast-moving sectors like e-commerce, travel and fintech," said Kelvin Li, General Manager of Platform Tech and Senior Vice President, Ant International.
About Ant International
Ant International is a leading global digital payment, digitisation and financial technology provider. Through collaboration across the private and public sectors, our unified techfin platform supports financial institutions and merchants of all sizes to achieve inclusive growth through a comprehensive range of cutting-edge digital payment and financial services solutions
