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Born From Personal Experience

Handshake Finance launched in September 2025, founded by Christopher Chan and Lee Jun Xian. Both had seen the trust gap up close.

Jun’s close friend lost S$80,000 in pre-payments to a renovation company that collapsed mid-project. At the same time, Christopher’s friend paid a deposit on a rental home she had never viewed, only to discover the listing was fraudulent. Both incidents pointed to the same structural failure: in service industries, someone always carries the risk, and when trust breaks down, there is little recourse on either side.

The two founders met as university classmates in London and returned to the problem with complementary backgrounds. Christopher Chan had spent his career in fintech, designing compliant payment flows on regulated infrastructure. Lee Jun Xian came from venture capital, with experience scaling early-stage companies from zero to one.

Trust as the foundation, not the feature

Handshake operates on bank-grade payment infrastructure provided by MAS-regulated partners. All payment flows are fully MAS regulated, and funds are held with DBS in segregated escrow accounts. For the founders, this is not a checkbox — it is the entire foundation of the business.

“We are trying to solve a structural trust gap in service industries. But before any of that, our users have to trust us,” said Christopher Chan, Co-Founder of Handshake Finance. “Making sure every fund flow is fully compliant, and that our users feel completely assured handing us money in what are often life-changing transactions, is our number one priority. Everything else is built on top of that.”

Closing the Trust Gap Across Service Industries

Every high-trust service transaction carries the same structural flaw: either the customer pays before work is done, or the provider works before getting paid. Someone always carries the risk. Across industries — from renovation and interior design to event planning, creative agencies, and professional services — that risk falls entirely on one side, and when trust breaks down, there is little recourse for either party.

Handshake Finance was built to close that gap. The platform holds customer funds in escrow and releases them to service providers against agreed milestones, giving buyers protection from pre-payment risk while giving service providers the confidence to deliver. The model is designed to work across any service industry where the payment trust problem exists.

Why Renovation and Interior Design Is Handshake’s Beachhead Market

Renovation was where the structural failure ran deepest. The industry operates with no mandatory licensing or regulatory framework. Anyone can set up as an interior designer with no accreditation required, leaving homeowners with no reliable way to assess accountability before signing a contract.

There is no standard payment framework either. Homeowners routinely pay up to 50% of the total project value upfront, with funds going directly to the interior designer before any work begins. If a project stalls or a firm shuts down, there is limited protection and recourse. At the other end of the project, interior designers face the opposite problem: the final handover payment, where homeowners hold most of the leverage, can be withheld over disputes that wipe out up to half a project’s margin.

Eight Months of Listening Before a Single Line of Code

Before writing any software, the Handshake team spent eight months speaking with more than 80 interior designers and homeowners across Singapore to understand the real frictions on both sides of the transaction. What they found reinforced the decision to start here: high transaction values, a broken payment norm, an unregulated supply side, and no existing platform that protected both parties.

That research shaped how the product was built. After a renovation contract is signed, Handshake’s AI automatically generates the transaction structure with line items, payment schedules, and sub-milestones set out clearly to remove ambiguity. Homeowners place funds into escrow rather than paying upfront directly to the interior designer.

Payment releases to the designer as work progresses against agreed milestones, with sub-milestone releases providing faster cashflow access without compromising homeowner protection. The platform also replaces the manual spreadsheet-based back-office admin most interior design firms still run, and offers complimentary mediation and independent assessments in the event of a dispute.

More than 40 Interior Design Companies Onboarded and 2 Major Partnerships Signed

Handshake now has more than 40 interior design companies onboarded. The company has signed partnerships with Renonation.sg and Network SG, two of Singapore’s most established renovation marketplaces, to drive awareness and adoption across the broader ecosystem.

“It is an incredible feeling to see this much support behind us, and we are excited about what is ahead,” said Lee Jun Xian, Co-Founder of Handshake Finance. “We are industry-agnostic by design, but we are laser-focused on fixing renovation first. The scams that are still everyday occurrences in this space need to go, and the transactional experience for everyone involved needs to be better before we turn our attention to the next industry or market.”

Homeowners and interior designers can learn more or request access at handshake.finance.

Hashtag: #HandshakeFinance

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About Handshake Finance

Handshake Finance is a Singapore-based fintech building escrow-as-a-service infrastructure for high-trust service industries. The platform holds customer funds in segregated escrow accounts and releases them against agreed milestones, protecting buyers from pre-payment risk while giving service providers the confidence to deliver. All payment flows are fully MAS regulated. Funds are held with DBS. Handshake is currently focused on Singapore’s renovation and interior design market as its beachhead, with plans to expand across other service industries and Southeast Asia.

The shift reflects a sharp change in investor preference after months of underperformance by Hong Kong equities against mainland peers. Mainland investors sold about HK$3.6 billion of Hong Kong shares through the trading links last month, the first monthly net outflow since June 2023 and one of only a small number of monthly selling episodes since the southbound channel became a key route for mainland money into the city’s market.

The move is striking because southbound buying has been one of the strongest supports for Hong Kong stocks over the past year. Mainland funds poured into high-dividend banks, telecoms groups, energy companies and internet platforms during earlier phases of the rally, helping offset caution among global investors. That support is now weakening as domestic funds chase companies tied to AI infrastructure, chips, optical modules, software and computing power.

Onshore AI shares have delivered a stronger performance than Hong Kong’s technology benchmarks this year. The CSI Artificial Intelligence Index has risen sharply, while the Hang Seng Tech Index has lagged, weighed down by concerns over platform margins, heavy spending on AI models and pressure from subsidy battles in e-commerce and online services. The divergence has encouraged active money managers and retail traders to reassess whether Hong Kong-listed internet giants still offer the most attractive exposure to China’s technology story.

The change in flows also comes as Beijing’s industrial policy continues to favour advanced manufacturing, domestic semiconductors, large language models and high-end computing. Companies linked to AI servers, data centres, optical communications, robotics and chip design have become favoured market proxies for China’s effort to reduce dependence on foreign technology. That policy backdrop has helped support valuations even as questions persist over earnings visibility, capital expenditure demands and competition.

Cambricon Technologies, Zhongji Innolight, Kingsoft Office, iFlytek and other mainland-listed technology names have been among the companies watched closely by investors seeking domestic AI exposure. Hong Kong still hosts major technology groups such as Tencent, Alibaba, Baidu, Meituan and Xiaomi, but the market’s heavyweight structure makes it more exposed to mature platform businesses than to the faster-growing AI hardware and infrastructure supply chain favoured by onshore traders.

Hong Kong’s role as a fundraising centre remains intact despite the outflow. The city has continued to attract listings from technology, healthcare, robotics and semiconductor-related companies, while mainland firms still view it as the most practical offshore venue for raising international capital. Several AI and chip-linked companies are preparing or considering Hong Kong share sales, suggesting the city remains central to China’s capital market architecture even as secondary-market money rotates elsewhere.

The weakness in southbound appetite also reflects broader caution over Hong Kong valuations after a strong earlier advance. Investors who bought the market for dividends and policy support are locking in gains while seeking higher-beta opportunities at home. The shift does not necessarily point to a structural rejection of Hong Kong stocks, but it does show that mainland money is becoming more selective after helping drive earlier momentum.

Regulatory pressure on offshore investment channels may also be influencing behaviour. Authorities have tightened scrutiny of unauthorised cross-border trading accounts and offshore brokerage activity, reinforcing the appeal of regulated domestic routes. While Stock Connect remains an approved mechanism, wider efforts to keep capital within supervised channels have added another layer of sensitivity around outbound allocations.

Market analysts say the key question is whether the AI-led onshore rally can broaden beyond a narrow group of highly valued companies. China’s AI supply chain is benefiting from state support, falling model costs and growing enterprise adoption, but investors face risks from crowded positioning, uneven profitability and rapid technological shifts. Several AI-linked companies still trade more on expectations than on proven earnings, leaving the sector vulnerable to volatility if sentiment turns.

• FOMO Pay merchants in Singapore will soon be able to accept DuitNow QR payments, enabling Malaysian travellers and visitors to pay using familiar home-country banking and payment applications.
• The rollout comes ahead of the Johor Bahru–Singapore RTS Link, expected to carry up to 40,000 passengers daily upon launch in January 2027.

Enhancing Cross-Border Payment Experiences

Hashtag: #DigitalPayment #DigitalBanking #DigitalAsset #FinTech #AI

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The stock climbed about 6 per cent on Tuesday as investors reacted to signs that Tencent is moving closer to embedding a task-performing assistant inside WeChat, the messaging, payments and social platform used by more than 1.4 billion people. The prototype is designed to help users complete everyday actions within the app, including finding venues, interacting with mini-programmes and placing customised orders, rather than merely answering questions in chatbot form.

The planned agent would mark a significant step in Tencent’s push to convert its AI investments into consumer products at scale. WeChat already functions as a digital operating system for daily life in China, covering messaging, payments, shopping, food delivery, public services, entertainment, ride-hailing and enterprise communication. That reach gives Tencent an advantage that few rivals can match: a single platform with a vast user base, heavy daily engagement and a dense network of third-party services.

People familiar with the prototype have indicated that users would be able to access the AI agent through a swipe gesture on the main WeChat screen. Tencent is expected to begin the regulatory compliance process before wider testing, with a small group of external users likely to receive access before any phased public launch. A firm release date has not been set, reflecting both regulatory uncertainty and the technical demands of deploying agentic AI across a platform of WeChat’s size.

The market response underscores how investors are reassessing Tencent’s AI position after months of concern that the company was trailing Alibaba, ByteDance and Baidu in the race to commercialise generative AI. Tencent has promoted Yuanbao, its AI chatbot, developed its Hunyuan foundation model and introduced productivity-focused AI tools, but WeChat remains the asset most capable of turning those efforts into a daily consumer habit.

Tencent’s first-quarter earnings showed both the strength and the cost of that strategy. Revenue rose 9 per cent year on year to RMB196.5 billion, while IFRS net profit attributable to equity holders increased 21 per cent to RMB58.1 billion. Marketing services revenue rose 20 per cent to RMB38.2 billion, helped by AI-driven advertising improvements, while domestic games revenue grew 6 per cent and international games revenue climbed 13 per cent. Capital expenditure reached RMB31.9 billion, up 16 per cent, as spending on AI infrastructure continued to rise.

The company has told investors that new AI products are weighing on margins, even as core businesses continue to generate strong cash flow. Excluding new AI products, non-IFRS operating profit rose 17 per cent in the first quarter, compared with a 9 per cent increase overall. That gap highlights the near-term drag from AI investment, but also explains why investors are sensitive to any sign that Tencent can place AI directly into revenue-generating services.

Competition is intensifying across China’s technology sector. Alibaba has pushed Qwen into consumer and enterprise markets, ByteDance has expanded AI features across its content ecosystem, and Baidu continues to build around Ernie and AI cloud services. The key battleground is shifting from chatbots to agents that can perform tasks, connect with apps and act across digital services with limited user input.

WeChat’s mini-programme ecosystem could be central to Tencent’s approach. Millions of merchants, developers and service providers already operate within the platform, allowing an AI agent to navigate services without pushing users outside Tencent’s environment. For merchants, an effective agent could increase conversion rates by shortening the path from search to purchase. For Tencent, it could deepen engagement, improve advertising relevance and strengthen its fintech and business services ecosystem.

Regulation remains a critical constraint. China requires generative AI services offered to the public to comply with rules covering data security, content control and algorithmic governance. Any WeChat agent would need to satisfy those requirements before broad release, especially because it could interact with payments, commerce and public services.

The Provisions on the Protection of Trade Secrets, issued by the State Administration for Market Regulation under Order No. 126, came into force on 1 June 2026 and replace rules first introduced in 1995. The overhaul gives regulators clearer authority to handle disputes involving digital assets that now sit at the centre of corporate value, from AI model architecture and training datasets to platform recommendation systems, software code and commercially valuable operational data.

The change marks a significant shift in China’s treatment of intangible technology assets. Earlier rules were drafted before cloud computing, AI systems and large-scale data operations became central to business competition. The new framework defines trade secrets as technical or business information that is not publicly known, has commercial value and has been subject to confidentiality measures by the rights holder. Technical information now expressly covers data, algorithms, computer programs and code, while business information can include management, sales, finance, planning, customer and operational data.

The timing gives the regulation wider strategic weight. China and the United States are locked in a prolonged technology rivalry involving semiconductor controls, restrictions on advanced computing hardware, limits on investment in sensitive sectors and scrutiny of cross-border technology transfers. Washington has tightened export controls on high-end chips and chipmaking equipment, while Beijing has expanded its own legal toolkit to protect critical technology, secure data flows and prevent overseas transfer of capabilities it regards as strategically important.

The new rules do not create a separate trade secret law, but provide more detailed administrative guidance under China’s Anti-Unfair Competition Law. They clarify how regulators should assess whether information is secret, whether it has commercial value, what counts as reasonable confidentiality measures and how infringement should be investigated. For companies, the central message is that protection will depend not only on the value of the information, but also on whether internal controls, access limits, confidentiality agreements, digital safeguards and evidence trails are in place.

The provisions also recognise that unsuccessful research can have commercial value. Stage-by-stage technical results, failed experimental data and development paths that save time or cost in future research may qualify for protection if they meet the legal conditions. That is especially relevant for AI labs, pharmaceutical developers, electric vehicle makers, chip design firms and advanced manufacturing groups, where failed trials can reveal important technical boundaries and prevent competitors from repeating expensive mistakes.

Regulators have been given practical enforcement tools, including powers to inspect business premises, question individuals, copy documents, examine electronic records and take action against materials linked to suspected infringement. Penalties can include orders to stop unlawful conduct, confiscation of illegal gains and fines that may reach CNY5 million in serious cases. The framework also covers improper acquisition, disclosure, use or permission to use trade secrets obtained through theft, bribery, fraud, coercion, electronic intrusion or breach of confidentiality obligations.

For multinational companies operating in China, the new rules create a mixed picture. Stronger protection could help firms defend proprietary data, software systems and industrial processes in a market where trade secret disputes have often been difficult to pursue. At the same time, wider protection for data and algorithms may increase compliance complexity, particularly in joint ventures, outsourced research, cloud services, employee mobility, cross-border collaboration and licensing arrangements.

Technology companies are likely to face tougher expectations over documentation. Firms seeking protection will need to show that the information was not easily accessible, carried economic value and was actively protected. Generic claims that an algorithm or dataset is confidential may not be enough. Companies will be expected to classify sensitive assets, restrict access by role, track downloads and transfers, maintain logs, use encryption or watermarking where appropriate, and ensure that employment and partnership contracts define confidentiality obligations with precision.

The rules also sit alongside China’s broader data and security regime, including laws on data security, personal information protection, cybersecurity and export control. That overlap could make enforcement more powerful but also more complicated. A dataset may be a trade secret, a regulated data asset and a cross-border transfer concern at the same time. Businesses handling AI training material, user behaviour data or industrial performance data will need to assess those obligations together rather than treating trade secret protection as a standalone issue.

The renewed three-year Memorandum of Understanding (MOU) builds on previous successful collaborations between both parties and aims to drive tourism spending by combining STB’s destination marketing resources with UnionPay’s global payment network and regional marketing channels.

Under the partnership, both parties will jointly launch tourism and payment campaigns targeting key visitor markets including China and other regional outbound travel segments. Campaigns will promote Singapore tourism offerings alongside UnionPay’s payment privileges, merchant promotions, and acceptance network across shopping, dining, attractions, transportation and hospitality sectors.

The collaboration will also focus on premium travel and MICE segments through partnerships with banks, luxury travel platforms and tourism stakeholders to introduce tailored privileges and curated experiences for UnionPay cardholders visiting Singapore.

According to STB, Singapore welcomed approximately 16.9 million international visitors in 2025, with China’s mainland remaining the country’s largest source market. As international travel demand continues to recover, seamless and secure payment experiences are playing an increasingly important role in enhancing visitor satisfaction and driving tourism consumption.

Over the past cooperation period, UPI and STB jointly launched multiple tourism campaigns through leading travel and digital platforms, generating more than 40 million impressions and strengthening UnionPay’s presence among travelers visiting Singapore.

Moving forward, both parties will continue to explore new opportunities in tourism marketing, merchant collaboration, and consumer engagement to further support Singapore’s tourism growth and cross-border travel ecosystem.

Hashtag: #Unionpay

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