APAC AI PropTech: 8 Companies 2026
Eight AI-native property technology companies in APAC compared by funding, AI differentiation, M&A readiness, and key acquirer theses for 2026.
The Asia Pacific property market is the world’s largest, with residential and commercial transaction values exceeding $3 trillion annually across the region’s major economies. Within that market, AI-native property platforms have emerged as a structurally distinct category, differentiated from the prior generation of property portals by three capabilities: AI-driven matching (connecting buyers, sellers, tenants, and landlords more precisely than search-based interfaces), automated valuation models that draw on transaction history and market data to price assets without manual appraisal, and mortgage-adjacency layers that use property and income data to pre-qualify buyers at scale.
The landmark APAC transaction in this space is EQT’s acquisition of PropertyGuru for approximately $1.1 billion in early 2024, which demonstrated that a well-positioned APAC AI property platform with dominant market position, recurring data revenue, and a credible financial services adjacency thesis can command a meaningful strategic premium from a global PE acquirer. That transaction has reset acquirer expectations for what a mature APAC AI PropTech business is worth, and has accelerated the M&A conversations happening across the rest of the sector.
Eight companies in this landscape merit close attention in 2026 from a transaction perspective. They represent the range from large-cap publicly listed platforms to acquisition-ready growth-stage businesses, and from China-focused to cross-border APAC models. Amafi Advisory advises AI company founders and corporate development teams on sell-side, buy-side, and fundraising transactions in Asia Pacific. The framing here reflects the questions that matter in a transaction process.
AI Differentiation Tier Framework
AI PropTech companies fall into three tiers based on where the defensible value resides relative to the AI layer:
Tier 1: AI is the core product. The platform’s primary differentiation is an AI model that improves materially with each transaction it facilitates: better matching accuracy, more precise AVM outputs, better mortgage qualification predictions. Removing the AI would leave a generic directory or database. Companies in this tier have built proprietary training datasets from their own transaction histories that cannot be replicated by a new entrant. Beike/KE Holdings, at scale, and Ohmyhome at the transaction facilitation layer, represent this tier.
Tier 2: AI transforms a portal. The company began as a property listing portal and has added AI layers that differentiate the product: recommendation engines, price prediction tools, neighbourhood analytics, mortgage calculators with pre-qualification logic. The AI improves the product but the underlying listing database provides the primary competitive moat. PropertyGuru, LIFULL, and Housing.com operate in this tier.
Tier 3: AI supports operational efficiency. AI is used to reduce internal costs or improve listing quality (fraud detection, duplicate removal, image classification), but does not differentiate the product externally. These companies are valued on listing market position and agent relationships rather than AI premium.
Company Profiles
Beike / KE Holdings (China, NYSE: BEKE)
Funding and scale: KE Holdings raised approximately $2.1 billion in its August 2020 IPO on the New York Stock Exchange. At peak in early 2021, the market capitalization exceeded $65 billion, reflecting investor enthusiasm for China’s largest AI-powered residential property platform. Following the broader China real estate sector contraction, the company’s market capitalization settled in the $10-15 billion range through 2024 and 2025.
What the AI does: Beike operates China’s largest AI-driven property transaction network, connecting homebuyers, sellers, landlords, tenants, and mortgage applicants through a platform that integrates real estate agency operations, listing data, and transaction management. The core AI system, the ACN (Agent Cooperation Network), coordinates interactions between multiple agencies representing the same property and allocates commission splits algorithmically based on contribution to the transaction. The valuation AI, drawing on Beike’s database of over 220 million property records and completed transaction histories, generates automated property valuations for China’s secondary residential market.
Data moat: The combination of transaction history depth (Beike facilitates several million residential transactions annually) and the ACN’s role in structuring how agents cooperate creates a dataset that is structurally impossible to replicate without controlling a comparable share of China’s real estate transaction flow. The property graph, linking specific units to their transaction history, renovation records, and neighborhood characteristics, is the primary data asset and the primary reason Beike’s valuation AI outperforms competitors with shallower data.
M&A readiness and acquirer thesis: KE Holdings is a publicly traded company, not an independent acquisition target in the conventional sense. Its relevance to this analysis is as the defining APAC benchmark for what a mature AI-native property platform looks like at scale, and as the most likely acquirer of smaller Chinese PropTech companies seeking a larger distribution partner. KE Holdings has made selective acquisitions of property management software companies to extend its platform into the asset management layer.
PropertyGuru (Singapore, acquired by EQT, closed 2024)
Funding and exit: PropertyGuru listed on the New York Stock Exchange via SPAC merger in January 2022 at an implied valuation of approximately $1.78 billion. EQT, the Swedish private equity firm, announced a take-private acquisition in November 2023 and closed the deal in early 2024 at approximately $6.70 per share, representing a total transaction value of approximately $1.1 billion.
What the AI does: PropertyGuru operates property listing portals in Singapore (PropertyGuru.com.sg), Malaysia (PropertyGuru.com.my), Indonesia (Rumah123), Thailand (DDProperty), and Vietnam (BatDongSan). The AI layer includes a property matching engine that surfaces listings based on buyer behavior patterns rather than keyword search, an automated valuation tool (PropertyGuru Value) that generates price estimates for individual properties across the five markets, and the MarketSense data product that packages transaction and listing data into market intelligence reports for developers and financial institutions.
Why EQT acquired it: The strategic rationale centered on the mortgage and financial services adjacency. Property portals in mature markets (Zillow, REA Group in Australia, Rightmove in the UK) have consistently demonstrated that the highest-margin revenue opportunity is not listing fees from agents but mortgage referral fees from buyers using the portal to find a property and a mortgage simultaneously. PropertyGuru’s transaction volume across five markets, combined with its MarketSense data product, positioned it to build that mortgage layer. EQT’s thesis is that EQT’s financial services portfolio relationships and operational resources can accelerate the mortgage adjacency faster than PropertyGuru could as a standalone listed company subject to quarterly earnings constraints.
Lessons for the broader sector: The PropertyGuru acquisition reinforced three principles relevant to other APAC AI PropTech companies preparing for M&A. First, dominant market position in two or three APAC markets is worth more to a PE acquirer than broad but thin presence across six or seven markets. Second, recurring data revenue from developers and financial institutions is valued at a significantly higher multiple than transactional listing revenue. Third, the mortgage adjacency thesis is credible to global PE acquirers and should be developed by any portal-model AI PropTech company as part of its transaction positioning.
Ziroom (China)
Funding: Ziroom raised approximately $500 million in a Series B round in 2019, led by Warburg Pincus, with participation from Huazhu Group and IDG Capital, at a post-money valuation of approximately $1.1 billion. Total funding across all rounds is estimated at $1.5 billion. The company has not publicly confirmed additional rounds since 2019, and the China property market contraction of 2022-2023 created significant challenges for its co-living and long-term rental model.
What the AI does: Ziroom is China’s largest long-term apartment rental platform, operating an asset-light model where it takes on individual apartment leases from landlords, renovates and furnishes them to a standardized format, and re-leases them to tenants at a premium. The AI layer includes a yield optimization engine that prices individual apartments dynamically based on demand signals, neighborhood activity data, and competing listings; a predictive maintenance system that dispatches technicians before tenant-reported problems based on IoT sensor data from smart home devices installed in Ziroom units; and a lease renewal prediction model that identifies tenants at risk of churn before their lease expiry.
Data moat: Ziroom’s proprietary data asset is the combination of apartment yield history (individual unit rental rates over time, correlated with neighborhood characteristics) and tenant behavior data from the smart home IoT network embedded in its apartments. The yield optimization AI improves as the platform grows, creating a compounding advantage over brokers pricing apartments without platform-scale data.
M&A readiness and acquirer thesis: Ziroom’s transaction-readiness is constrained by the China property market environment and by the complexity of its sub-lease model, which creates a large balance sheet exposure to rental obligations that must be renegotiated in any ownership transfer. Natural acquirers are large Chinese real estate platforms (Beike/KE Holdings, which operates in the same ecosystem), China-focused PE firms with property sector expertise, or Japanese or Korean co-living operators expanding into China with a platform acquisition strategy.
Ohmyhome (Singapore, NASDAQ: OMH)
Funding and listing: Ohmyhome raised approximately $50 million across multiple private rounds before listing on NASDAQ in February 2023. The listing was achieved through a direct US IPO rather than a SPAC, with the company raising approximately $10 million in the IPO at a valuation of approximately $120 million. The stock has traded well below the IPO price since listing, with the market capitalization declining to approximately $10-20 million range through 2024-2025 as growth-stage profitability challenges became apparent.
What the AI does: Ohmyhome provides an AI-assisted property transaction platform for the Singapore and Malaysia markets, combining a property search interface with in-house AI support for the legal and administrative steps of a residential property transaction (loan application, agent coordination, conveyancing, stamp duty calculation). The company’s positioning is as a transaction facilitator rather than purely a listing portal: the AI is designed to reduce the time from search to close, not just to surface listings more accurately.
Differentiation: The transaction facilitation model is a more defensible AI use case than simple property matching, because each completed transaction generates a proprietary dataset of buyer characteristics, financing structures, negotiation timelines, and administrative step durations that improves the AI system’s ability to predict transaction completion probability and guide subsequent buyers through similar processes. The Singapore market’s concentration (the city-state has a well-defined set of property types, a standardized conveyancing process, and reliable transaction registry data) makes it a strong training environment for this approach.
M&A readiness: Ohmyhome’s small market capitalization relative to its technology and market position makes it an acquisition candidate for a larger regional portal or financial services platform seeking to add transaction facilitation capability in Singapore. PropertyGuru’s absence as a publicly listed entity post-EQT acquisition creates an opportunity for a regional acquirer to use Ohmyhome as a Singapore market entry point.
Housing.com (India, REA Group-backed)
Funding: Housing.com is part of the REA India portfolio, which REA Group (ASX: REA) acquired and invested in progressively from 2016 onward, with News Corp’s investment in REA providing the structural connection. REA Group’s total investment in its India property operations (Housing.com, PropTiger, and Makaan.com, all now operating under a consolidated brand) has exceeded $400 million across multiple transactions. Housing.com was independently founded in 2012 and raised from multiple VC investors before coming under the REA Group umbrella.
What the AI does: Housing.com is India’s second-largest property portal by traffic (behind 99acres.com), with an AI layer that includes property recommendations based on search and behavioral data, automated valuation estimates for individual apartments and plots, and mortgage matching that connects buyers with lenders at the point of property search. The platform’s AI strengths are concentrated in urban residential markets (Mumbai, Delhi NCR, Bengaluru, Hyderabad, Pune), where transaction density is sufficient to train reliable valuation models.
APAC strategic context: REA Group’s investment in Housing.com reflects a broader thesis that APAC’s large residential property markets require regional property platform operators rather than a single global platform. REA Group has used the India investment to develop AI capabilities for mid-income markets and property types (semi-furnished apartment rental, plotted development, resale affordable housing) that are less represented in REA’s core Australian operations. For strategic acquirers evaluating APAC PropTech exposure, Housing.com’s combination of REA Group operational support, scale in India’s urban markets, and mortgage adjacency development makes it a structurally significant position.
Acquirer thesis: REA Group is both the incumbent backer and the most natural long-term consolidator of Housing.com’s India operations. The acquisition pathway for third parties is primarily through acquiring REA Group’s India portfolio assets, which REA Group has not indicated an intent to divest. The more relevant implication for this analysis is as a model for how a global real estate portal operator can use APAC market positions to extend AI capabilities developed in established markets (Australia, UK) into higher-growth developing markets.
LIFULL (Japan, TSE: 2120)
Scale and listing: LIFULL Co., Ltd. is listed on the Tokyo Stock Exchange (TSE: 2120) and operates Japan’s largest property portal, HOME’S, along with property portal operations in approximately twelve international markets through its LIFULL Connect subsidiary. Annual revenue is approximately ¥25-30 billion, with the Japanese operations generating the majority of revenue and EBITDA.
What the AI does: LIFULL’s AI layer is concentrated in three areas: property search personalization (matching listing recommendations to buyer behavior patterns across HOME’S, which lists approximately 9 million properties), real estate agent matching (connecting buyers with agents whose transaction history matches their property requirements), and the akiya platform (AI-assisted matching of vacant property owners with buyers, renovation operators, and municipalities seeking to reduce Japan’s empty house stock). The akiya initiative is the most AI-distinctive product in LIFULL’s portfolio, because matching vacant property owners — who are often elderly, geographically dispersed, and unfamiliar with property transaction processes — with buyers requires a significantly more proactive AI approach than matching active market participants.
Acquirer thesis: LIFULL is a listed company and a potential acquirer rather than a near-term acquisition target. Its strategic interest as an acquirer centers on international PropTech companies with AI capabilities that can be applied to Japan’s distinctive property challenges: aging building stock, akiya management, and the complex multi-party transaction process that still relies heavily on paper documentation. LIFULL’s acquisitions of international property portals through LIFULL Connect provide a template for how it has historically acquired technology and market access together. A reverse acquisition by a global PE firm or strategic acquirer of LIFULL would require a complex privatization of a TSE-listed company with a diverse international portfolio, which is not a near-term scenario.
Zigbang (Korea)
Funding: Zigbang has raised approximately $120 million across multiple funding rounds, including a $65 million round in 2021 led by Korea Investment Partners. The company acquired Dabang, a competing Korean rental search platform, in 2019, combining the two largest Korean apartment search applications into a single platform. Post-acquisition, the combined entity became Korea’s dominant mobile-first rental search platform with approximately 10 million monthly active users.
What the AI does: Zigbang’s AI layer is concentrated in the Korean rental market, where the unique jeonse (lump-sum deposit lease) and monthly rent (wolse) structures create distinct search and matching requirements not present in other rental markets. The platform’s AI matching engine ranks listings based on buyer behavioral signals specific to Korean tenants: the jeonse deposit amount they can finance, proximity preferences to specific subway lines, and building-type preferences (officetel vs. apartment vs. villa). The fraud detection AI, which flags suspicious jeonse listings where the mortgage debt on the property exceeds the deposit amount (creating risk of deposit loss if the landlord defaults), has become a significant product differentiator following high-profile jeonse fraud cases in Korea in 2022-2023.
Market context: The jeonse fraud crisis of 2022-2023, in which thousands of Korean tenants lost deposits when overleveraged landlords defaulted on mortgages, created a significant impetus for AI-powered fraud detection in the Korean rental market. Platforms with effective fraud detection gained regulatory tailwind and user trust at the expense of platforms without it. Zigbang’s fraud detection product, which Amafi Advisory views as the most defensible element of its AI stack, was developed in direct response to that crisis.
Acquirer thesis: Zigbang’s primary acquirer thesis is a strategic transaction with a Korean real estate platform, financial services company (KB Kookmin Bank, Shinhan Financial Group, or Kakao Bank, all of which offer mortgage products and have user acquisition motivation), or a APAC-focused PE firm seeking a platform position in Korea’s rental market recovery. The jeonse system’s gradual transition toward monthly rent structures is increasing the volume of recurring rental transactions on the platform, which improves revenue predictability relative to the lump-sum deposit model.
Juwai IQI (Malaysia, cross-border focus)
Funding: Juwai IQI was formed from the merger of Juwai.com, a Chinese-language international property portal, with IQI Global, a Southeast Asian real estate agency network. IQI had raised approximately $100 million across multiple funding rounds from investors including Gobi Partners and others. The combined entity operates as Juwai IQI with a presence across approximately fifteen APAC markets, connecting Chinese-speaking buyers with international property offerings.
What the AI does: Juwai IQI’s AI layer serves the cross-border Chinese property buyer market — Chinese nationals and overseas Chinese communities in Southeast Asia who are searching for investment properties in Malaysia, Thailand, Australia, the UK, and other markets. The AI matching engine personalizes property recommendations by combining the buyer’s financial parameters (budget, financing preferences, Chinese mortgage constraints for overseas property), lifestyle requirements, and emigration or investment intent signals. The property intelligence product provides Chinese-language AVM estimates for international properties, a market that has historically been underserved by English-language AVM providers.
APAC strategic context: The cross-border Chinese property buyer market is subject to significant policy volatility from both the Chinese side (restrictions on overseas capital transfer, periodic tightening of foreign currency outflow controls) and from destination market governments (Australia’s FIRB residential property review, Singapore’s ABSD for foreign buyers, New Zealand’s foreign buyer ban). Juwai IQI’s AI system includes compliance screening for buyer eligibility across these varying regulatory frameworks, which represents a genuine AI differentiation for a use case that pure listing portals have not addressed systematically.
Acquirer thesis: Juwai IQI’s most natural acquirers are Southeast Asian property developers seeking to accelerate Chinese buyer acquisition, regional financial services platforms looking to add cross-border mortgage origination capability, or global property portal platforms seeking Chinese-language AI capability and Chinese buyer distribution that they cannot build organically. The company’s operating leverage is tied to Chinese overseas property investment sentiment, which makes standalone valuation difficult; acquirers with existing Chinese buyer relationships or Chinese financial products would see the highest synergy value.
M&A Deal Log: APAC AI PropTech Transactions
| Transaction | Value | Year | Type | Significance |
|---|---|---|---|---|
| EQT / PropertyGuru | ~$1.1B | 2024 | PE take-private | Largest APAC AI PropTech exit; confirmed portal-model AI premium |
| Recruit Group / At Home Co. | ~$570M (¥86B) | 2020 | Strategic acquisition | Japanese portal consolidation; AI listing optimization rationale |
| REA Group / PropTiger (India) | ~$148M tranche | 2021 | Strategic investment | APAC portal expansion; India market access for AI PropTech |
| Warburg Pincus / Ziroom (Series B) | $500M | 2019 | Growth PE | Largest single China PropTech AI round before market contraction |
| PropertyGuru / 99.co Singapore | Undisclosed | 2021 | Strategic acquisition | Portal consolidation; AI listing deduplication; Singapore market share |
| KE Holdings IPO / BEKE | $2.1B (IPO raise) | 2020 | Public market | China AI property platform at scale; defining APAC benchmark |
APAC Acquirer Landscape
The AI PropTech acquirer universe in APAC spans four categories with distinct strategic motivations:
Global real estate portal platforms. REA Group (ASX: REA), CoStar Group (NASDAQ: CSGP), and Rightmove (LSE: RMV) have each made APAC acquisitions to extend their AI listing and data infrastructure into high-growth markets. REA Group is the most active, with the India portfolio and historical investments in iProperty Malaysia and iProperty Indonesia (since consolidated into PropertyGuru). These acquirers value AI listing quality, data coverage, and audience scale.
Financial services platforms and banks. Korean banks (KB Kookmin, Shinhan, Kakao Bank), Singaporean banks (DBS, OCBC, UOB), and Japanese banks (Mitsubishi UFJ Financial Group, Nomura) are natural acquirers of AI PropTech companies with mortgage pre-qualification, buyer credit scoring, or transaction facilitation capabilities. The strategic rationale is customer acquisition: a buyer who uses a property platform that seamlessly transitions to a mortgage is a lower customer acquisition cost than a buyer sourced through direct branch marketing.
Private equity. EQT’s PropertyGuru acquisition is the reference case. Global PE firms with infrastructure and digital platform experience (Blackstone, Warburg Pincus, KKR, TPG) have been active in APAC PropTech. The investment thesis consistently centers on the mortgage adjacency: acquire a property platform with dominant market position, build the mortgage referral or origination layer, and achieve multiple expansion by converting transactional portal revenue into recurring financial services revenue.
APAC property developers. Chinese, Korean, and Australian residential developers (Vanke, Longfor, CIFI in China; Shinsegae, Lotte in Korea; Mirvac, Stockland in Australia) have invested in or partnered with AI PropTech platforms to accelerate off-plan pre-sales and improve buyer qualification. Full acquisitions are less common because developers typically prefer platform relationships over full ownership, given the regulatory complexity of operating a regulated property brokerage business. The exception is Chinese developers, several of which built internal PropTech platforms before the 2021-2023 distress cycle forced them to divest or wind down those assets.
Valuation Benchmarks
| Company Type | EV/ARR Range | Key Drivers |
|---|---|---|
| AI-native property transaction platform | 8–15x | Proprietary transaction data, recurring data revenue, mortgage adjacency |
| Portal-model platform with AI matching | 5–10x | Market position, listing exclusivity, recurring agent subscription |
| AI rental management | 4–8x | Tenant retention data, IoT moat, yield optimization IP |
| Cross-border property AI platform | 3–7x | Chinese buyer demand volatility, compliance complexity |
| AI valuation/AVM provider | 6–12x | Data coverage, accuracy vs. benchmark, API revenue model |
“The most consistent theme in APAC AI PropTech valuations is the premium for recurring data revenue over transactional listing revenue,” says Daniel Bae, Founder and CEO of Amafi Advisory. “Portals that have built proprietary data products — market intelligence reports for developers, mortgage pre-qualification APIs for banks, AVM services for insurers — consistently achieve higher multiples at exit than platforms monetized entirely through agent listing fees. Founders who can show two or three data revenue streams with meaningful NRR are positioning their companies in a fundamentally different valuation bracket.”
APAC Regulatory and Market Considerations
China property market distress. The Evergrande default of 2021 and the broader debt restructuring cycle that followed through 2023 significantly impacted both transaction volumes and investor confidence in China AI PropTech. AI PropTech companies with China exposure should model revenue under a continued recovery scenario — gradual, not a V-shaped return to peak volumes — and be prepared to defend that assumption in due diligence.
Singapore ABSD and cooling measures. Singapore’s Additional Buyer’s Stamp Duty (ABSD) of 60% for foreign buyers has materially reduced cross-border investment transactions through Singapore-focused platforms. APAC AI PropTech companies that positioned themselves as cross-border transaction facilitators into Singapore have needed to pivot toward domestic Singaporean buyer markets or toward other APAC destinations with lower foreign buyer barriers.
Japan akiya policy acceleration. The Japanese government’s 2023 legislation offering reduced taxes for empty house transfers, combined with government matching platform initiatives, has created regulatory tailwind for AI PropTech companies addressing the akiya market. LIFULL’s akiya platform is the most mature commercial offering in this space, but multiple new entrants have emerged since 2023 seeking to capture the government-facilitated demand.
Australia FIRB review. Australia’s Foreign Investment Review Board requires non-residents to apply for approval before purchasing residential property. AI platforms that facilitate cross-border buyer transactions into Australia must incorporate FIRB compliance into their buyer onboarding flow, which creates a compliance moat for platforms that have invested in FIRB integration versus those that direct buyers to external compliance resources.
India RERA compliance. India’s Real Estate Regulatory Authority framework requires that AI property platforms listing under-construction projects display only RERA-registered projects, creating ongoing compliance overhead and an audit requirement that favors platforms with automated RERA registration verification over those that rely on manual agent compliance.
Due Diligence Framework for AI PropTech Acquisitions
Buyers conducting due diligence on an AI property platform should examine five areas specific to the sector:
1. Listing data provenance. Understand whether listing data is sourced through exclusive agent agreements, open MLS partnerships, web scraping, or a combination. Scraped listing data creates ongoing legal risk in jurisdictions with database rights protection (Australia, Singapore, Japan, Korea all have applicable frameworks). Agent-exclusive agreements create the strongest data moat but also the highest churn risk if key agency relationships terminate post-acquisition.
2. AVM regulatory classification. Automated valuation models used in mortgage application contexts may trigger financial advice licensing requirements in Australia (ASIC), Singapore (MAS), and Japan (FSA). Understand whether the platform’s AVM product has been reviewed by local financial regulators and whether the use case falls within any applicable licensing exemptions.
3. Transaction volume cyclicality. Model revenue under a 30-40% property transaction volume decline — the approximate scale of China’s 2022-2023 contraction and Singapore’s post-ABSD adjustment — to verify whether the business remains viable under stress. Revenue concentration in a single APAC market amplifies cyclicality risk.
4. Agent relationship concentration. Property portals that generate the majority of listing fee revenue from the top 20-30% of their agent base face a customer concentration risk that is structurally different from the long-tail agent structure assumed in most ARR analyses. Verify that the top agent cohort’s listing volume, not just their revenue, is stable over the prior two years.
5. AI model training data chain of title. For AI PropTech companies whose AVM, matching, or mortgage pre-qualification AI has been trained on historical transaction data, verify that the use of that data for model training is within the scope of the privacy policies and terms of service that governed data collection. Cross-border data transfer restrictions under PIPL (China), PDPA (Singapore), and APPI (Japan) may affect how training data can be retained and used post-acquisition if the transaction involves a cross-border ownership transfer.
Related Analysis
For context on adjacent AI verticals active in APAC M&A, the APAC AI Fintech analysis covers mortgage AI, credit scoring, and financial services technology companies with significant property-adjacent overlap. The APAC AI Compliance & RegTech analysis covers AI companies addressing financial regulation, property transaction documentation, and AML compliance relevant to property platforms with mortgage adjacency.
Amafi Advisory works with AI company founders and corporate development teams on sell-side M&A, buy-side acquisitions, and fundraising transactions across Asia Pacific. For AI PropTech companies evaluating a transaction or investors evaluating a PropTech acquisition in APAC, contact our team to discuss the process.