Chinese Fintech Lianlian DigiTech Targets Agentic Payments With AI-Powered Wallet

Chinese fintech firm Lianlian DigiTech is expanding into AI-powered agentic payments as its global payments business recorded double-digit growth in the first half of 2026, according to its latest Hong Kong stock exchange filing.

The digital payments company said it is developing an Agent Wallet intelligent payment platform designed for “Agentic Commerce,” where artificial intelligence agents can perform tasks and potentially initiate transactions on behalf of users or businesses.

The platform is intended to address issues including AI agent identity authentication, authorization management, transaction limits, risk controls and transaction traceability.

Lianlian said it is targeting AI product companies, Web3 businesses and large corporate customers.

The initiative forms part of Lianlian’s “AI Native + Globalization” strategy, announced in April. The company said it plans to use AI and blockchain technology to develop new businesses around its Agent Wallet platform while pursuing investments and partnerships with AI and fintech companies.

Lianlian reported revenue of RMB875.6 million ($122 million) for the six months ended June 30, up 11.9% from RMB782.7 million a year earlier.

Global payments were a major growth driver, with revenue rising 27.1% to RMB600.9 million as total payment volume increased 25.9% to RMB249.9 billion.

By contrast, domestic payment revenue fell 49.8% to RMB106 million after the company reduced its exposure to lower-contributing transaction categories.

Revenue from value-added services jumped 83.2% to RMB164.2 million, helped by growth in its virtual bank card business.

Lianlian said it has already deployed its enterprise-grade AI agent platform in areas including cross-border payment compliance reviews, risk-control screening, treasury management, customs reviews and customer service.

It also made investments in AI-native startups during the period and struck strategic cooperation agreements with Visa and UnionPay International involving agentic payments, although the filing did not disclose the size of those investments or financial terms of the partnerships.

The company has also been expanding its regulatory footprint. It obtained a Canadian money services business licence through an acquisition in April, allowing activities including foreign exchange, remittances, virtual currency and payments.

It secured a Category 3D payment licence in Dubai the following month.

As of June, Lianlian said it held 68 payment licences and related qualifications, served more than 200 countries and regions, and supported settlement in more than 140 currencies.

Lianlian’s overall first-half profit fell sharply to RMB10.9 million from RMB1.51 billion a year earlier. The prior-year result included large one-off gains related to its LianTong venture with American Express.



Sponsored Links by DQ Promote

 

 

Disclosure Quest

Reg A - Form 1-A Filings Beta

Beta. Initial Form 1-A only. Target raise is the stated Amount to be Raised, totaled. Compared with the same dates one year earlier.

YTD: Jan 1, 2026 - Oct 24, 2026 vs Jan 1, 2025 - Oct 24, 2025

Share this graph
Number of Filings131Prior 126 +4.0%
Target Raise, Total$3.40BPrior $3.54B -3.9%
This YTDYear priorChange
Filings 131 126 +4.0%
Target raise $3.40B $3.54B -3.9%

Sponsored by the Crowded Media Group the leading digital news service covering the global Fintech Industry, including digital assets, crowdfunding, tokenization, and other innovations in capital markets. email us @CrowdfundInside

Source: DisclosureQuest. Initial Form 1-A only.

Created by Crowded Media Group

This display counts initial Form 1-A filings only. It does not represent subsequent filings, including Form 1-A/A amendments or Form 1-A POS post-qualification updates filed by the issuer. Amounts are the stated Amount to be Raised on the initial filing, not capital raised and not amounts revised in later filings.

0 0 votes
Article Rating
Subscribe
Notify of
guest

This site uses Akismet to reduce spam. Learn how your comment data is processed.

0 Comments
Newest
Oldest Most Voted
 
0
Would love your thoughts, please comment.x
()
x
Send this to a friend