Tencent’s latest solution simplifies cross-border payments for Weixin users and merchants.
Updated
January 8, 2026 6:33 PM
Tencent's large penguin statue in front of a building. PHOTO: UNSPLASH
In a world where digital borders are fading faster than ever, Tencent is betting on familiarity. With the launch of TenPay Global Checkout, the company wants to make paying across countries feel as seamless as paying at home.
The new service, unveiled today, allows Weixin Mini Program merchants outside mainland China to accept a variety of local payment methods. That includes digital wallets, real-time payment networks and credit and debit cards, all through a single integration. The launch starts in Singapore and Macao SAR, where merchants can now take payments via PayNow, BOCPAY(MO), and major cards. Japan, Australia and New Zealand are next, with more regions to follow soon.
This rollout builds on the growing reach of Weixin Mini Programs, known internationally through WeChat. These small apps are built right into the platform, letting users' shop, book services and make payments without downloading separate apps. Today, there are over one million monthly active users in key overseas markets, with Mini Programs available across 92 countries and regions.
Yet, for many users abroad, paying within Mini Programs hasn’t always been simple. Foreign card restrictions, currency conversions and limited local options often made checkout a frustrating step. TenPay Global Checkout aims to change that.
“TenPay Global Checkout marks an important step in enhancing the local consumer experience. By enabling overseas Weixin Mini Program merchants to accept trusted and diversified local payment methods through one unified solution, users benefit from a more convenient and efficient payment experience. This helps merchants improve payment conversion rates, expand their user base and scale their businesses to serve a broader range of customers”, said Wenhui Yang, CEO of TenPay Global (Singapore).
What makes this move interesting isn’t just its technical simplicity—it’s the cultural bridge it builds. For users in Singapore or Japan, paying with PayNow or a local card inside Weixin feels less like an international transaction and more like an everyday purchase.
For merchants, it’s an invitation into a market that values convenience and trust. Payment familiarity, after all, often decides whether a user completes a purchase or abandons it at checkout.
The company remains focused on creating secure, connected and user-friendly payment experiences that help merchants grow and allow consumers to pay with confidence, wherever they are.
If successful, TenPay Global Checkout could quietly redefine how cross-border commerce feels—not like a transaction across regions, but a familiar tap, scan or click. In an increasingly global marketplace, that kind of familiarity might just be the next frontier in digital trust.
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As workplace knowledge spreads across chats, AI firms are building systems that can structure, retrieve and preserve it over time.
Updated
May 11, 2026 5:24 PM
A messaging app on a phone. PHOTO: ADOBE STOCK
Votee AI, an enterprise AI company headquartered in Hong Kong, has partnered with its Toronto-based research lab Beever AI to launch Beever Atlas. The new platform is designed to turn workplace chats into searchable knowledge that AI systems can retrieve and understand.
The release focuses on a growing issue inside organisations. Much of today’s workplace knowledge now exists inside chat platforms such as Slack, Microsoft Teams, Discord and Telegram. Important discussions, project decisions and technical information often disappear into long message histories that are difficult to search later.
Beever AI developed the platform to organise those conversations into a structured system for AI assistants. The software connects with Telegram, Discord, Mattermost, Microsoft Teams and Slack, then converts conversations into linked records of people, projects, files and decisions.
The collaboration combines Votee AI’s enterprise infrastructure work with Beever AI’s research around AI memory systems. The companies are releasing two versions of the product. The open-source edition is aimed at individual developers, researchers and creators. The enterprise edition is designed for banks, government agencies and larger organisations with stricter security requirements.
The release also reflects a broader shift happening across the AI industry. Companies are increasingly looking at how AI systems store and retrieve long-term knowledge, rather than relying solely on large context windows or search-based retrieval.
Earlier this year, OpenAI founding member and former director of AI at Tesla Andrej Karpathy discussed the growing need for what he described as “LLM Knowledge Bases.” He argued that AI systems need structured and evolving memory rather than depending only on context windows and vector search.
Beever Atlas approaches that problem through workplace communication. Instead of focusing mainly on uploaded files, the system is designed around conversations that happen daily across team chat platforms. It can also process images, PDFs, voice notes and video files within the same searchable system.
The companies say the software is designed to work directly with AI assistants and coding tools such as Cursor, AWS Kiro and Qwen Code. Integrations for OpenClaw and Hermes Agent are expected later in 2026.
Pak-Sun Ting, Co-Founder and CEO of Votee AI said: "Hong Kong has always been known for property and finance. Beever Atlas is proof that world-class AI infrastructure can emerge from an HK-headquartered company and be shared openly with the world. Every growing organization faces the same silent liability: conversational knowledge loss. Beever Atlas turns this perishable resource into a compounding organizational asset."
A large part of the enterprise version focuses on privacy and access control. The system mirrors permissions from Slack and Microsoft Teams so users can only retrieve information they are already authorised to access. Permission updates are reflected automatically when access changes inside company systems.
The enterprise edition also includes audit logs, encryption controls and data retention settings for organisations handling sensitive internal data. Companies can run the software entirely inside their own infrastructure using Docker and connect it to their preferred AI models through LiteLLM.
The companies argue that organising information is more useful than simply storing chat archives. Jacky Chan Co-Founder and CTO of Votee AI said: "The key technical decision was to treat agent memory as a knowledge engineering problem, not a retrieval problem. Structure beats similarity — a typed graph of who works on what is more useful to an AI than vector search over a Slack archive."
The software also includes protections against prompt injection attacks and systems designed to reduce hallucinated responses. According to the companies, the AI is designed to return “I don't know” with citations when confidence is low instead of generating unsupported answers.
As workplace communication becomes increasingly fragmented across chat platforms, companies are beginning to treat internal conversations as information that AI systems can organise, retrieve and build on. Beever Atlas reflects a broader push to turn everyday workplace communication into long-term organisational memory.