Saturday, December 6, 2025
CN
  • About
  • Advertise
  • Careers
  • Contact
Money Compass
  • Home
  • Financial News
  • Investment News
  • Other News
    • Bursa News
    • Government News
    • Listing Companies News
    • Oversea Financial & Investment News
  • Interviews
    • Features Interviews
    • Corporate Interviews
  • Financial & Investment Articles
  • PR Newswire
  • Login
No Result
View All Result
Money Compass
Home PR Newswire

XTransfer Recognised for Best In-house Use of AI in Fraud and Financial Crime Detection in Regulation Asia Awards

Money Compass by Money Compass
November 20, 2025
in PR Newswire
0
XTransfer Recognised for Best In-house Use of AI in Fraud and Financial Crime Detection in Regulation Asia Awards
0
SHARES
8
VIEWS
Share on FacebookShare on Twitter

The only B2B Cross-Border Payments Winner

SINGAPORE, Nov. 20, 2025 /PRNewswire/ — XTransfer, the world’s leading B2B cross-border trade payment platform, has been recognised as Highly Commended in the Best In-house Use of AI in Fraud and Financial Crime Detection at the 8th Regulation Asia Awards for Excellence 2025. Notably, XTransfer is the only B2B cross-border payment company to receive an award at this year’s ceremony.

Related posts

2025 Guangzhou Design Week Opens: PHOMI Holdings Leads Tech Innovation in Architectural Aesthetics

2025 Guangzhou Design Week Opens: PHOMI Holdings Leads Tech Innovation in Architectural Aesthetics

December 6, 2025
2025 Guangzhou Design Week Opens: PHOMI Holdings Leads Tech Innovation in Architectural Aesthetics

2025 Guangzhou Design Week Opens: PHOMI Holdings Leads Tech Innovation in Architectural Aesthetics

December 6, 2025


Clarence Sim, Compliance Director at XTransfer, received the award on behalf of XTransfer at the ceremony held in Singapore. (PRNewsfoto/XTransfer)

This category recognises organisations that leverage AI to detect and prevent fraud and financial crime, with an emphasis on innovation, effectiveness, and adaptability. XTransfer was recommended for TradePilot, its in-house, world’s first Large Language Model (LLM) specifically designed for the foreign trade finance industry, tailored to the complexities of B2B cross-border transactions.

TradePilot addresses the challenges traditional banks face when serving SMEs, high manual anti-money laundering (AML) costs, complex B2B transaction data, and cross-jurisdictional compliance requirements. By integrating advanced AI technologies such as big data analytics, natural language processing, and graph algorithms, TradePilot achieves automated, intelligent risk identification and control throughout the entire cross-border payment process.

“We were impressed by XTransfer’s innovative application of a custom-built LLM to address the specific fraud and AML challenges in B2B cross-border trade,” said a judge on the Regulation Asia Awards panel. “The solution, TradePilot, leverages a unique, proprietary dataset to automate compliance for the SME sector, demonstrating XTransfer’s clear vision for making global trade safer and more accessible.”

“We chose to develop TradePilot in-house because existing off-the-shelf solutions on the market cannot accurately address the unique risk scenarios in B2B cross-border trade, characterised by fragmented data and complex patterns,” stated Yanfang Liu, XTransfer Co-founder and CTO. “Leveraging data from serving over 700,000 SMEs, TradePilot delivers more precise, flexible, and cost-effective risk management services.”

“During development, our technical team achieved key breakthroughs, including a 9.75% increase in distributed training efficiency through self-developed hybrid communication engine and a 27% reduction in memory consumption for long-text training. These advancements ensure TradePilot maintains high efficiency and stability in processing complex foreign trade documents.” Liu added.

Following a successful launch in China, TradePilot is being deployed globally and localised to meet diverse regulatory requirements. In October 2025, XTransfer released TradePilot 2.0, delivering breakthroughs in multimodal data processing and vectorised retrieval to more accurately analyse transactions and process trade-related documents, significantly improving client authentication and order management efficiency.


(PRNewsfoto/XTransfer)

Cision View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/xtransfer-recognised-for-best-in-house-use-of-ai-in-fraud-and-financial-crime-detection-in-regulation-asia-awards-302621167.html

SOURCE XTransfer

​ 

Previous Post

Leading Industry Transformation | Anyuan Mold Cooperates with UnionTech to Deepen Metal 3D Printing Footwear Mold Field

Next Post

CCTV4: Premiere of Chinese Etiquette & Ceremonies: Understanding China Through the Lens of Li

Next Post
CCTV4: Premiere of Chinese Etiquette & Ceremonies: Understanding China Through the Lens of Li

CCTV4: Premiere of Chinese Etiquette & Ceremonies: Understanding China Through the Lens of Li

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

BROWSE BY CATEGORIES

  • Blog
  • Bursa News
  • Corporate Interviews
  • Features Interviews
  • Financial & Investment Articles
  • Financial News
  • Government News
  • Investment News
  • Listing Companies News
  • Oversea Financial & Investment News
  • PR Newswire

BROWSE BY TOPICS

2018 League Balinese Culture Bali United Budget Travel business Champions League Chopper Bike Doctor Terawan industrial Istana Negara Malaysia Market Stories National Exam net zero emissions targets 2025 Renewable energy Visit Bali

Recent News

  • 2025 Guangzhou Design Week Opens: PHOMI Holdings Leads Tech Innovation in Architectural Aesthetics
  • 2025 Guangzhou Design Week Opens: PHOMI Holdings Leads Tech Innovation in Architectural Aesthetics
  • Abu Dhabi signs agreements and explores opportunities to strengthen partnerships with India and Singapore

Category

  • Blog
  • Bursa News
  • Corporate Interviews
  • Features Interviews
  • Financial & Investment Articles
  • Financial News
  • Government News
  • Investment News
  • Listing Companies News
  • Oversea Financial & Investment News
  • PR Newswire
  • About
  • Advertise
  • Careers
  • Contact

Copyright © 2024 Money Compass Media (M) Sdn Bhd. All Rights Reserved

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Home
  • Features Interviews
  • Government News
  • Financial News
  • Investment News
  • Listing Companies News
  • Corporate Interviews
  • Bursa News
  • Financial & Investment Articles
  • Oversea Financial & Investment News

Copyright © 2024 Money Compass Media (M) Sdn Bhd. All Rights Reserved