B2B Fintech Infrastructure Pricing
in Southeast Asia

Southeast Asian fintech infrastructure pricing divides cleanly into two worlds. At the payments and embedded finance layer — where Xendit, Stripe, and GHL Systems operate — pricing is structurally observable because regulators require fee disclosures and merchants can compare rates. At the core banking and middleware layer — where Mambu, Temenos, Thought Machine, Finastra, and Brankas operate — pricing is entirely private. No vendor publishes list prices for Southeast Asian deployments. No disclosed contracts exist in public filings. This is not a data collection problem. It is how the segment is structured.

Where pricing is visible, transaction percentage is the dominant value metric. Grab Financial reported a 12% take rate on payments volume in Q4 2024[DealStreetAsia] — a figure that reflects the super-app premium, not infrastructure-layer economics. ShopeePay operated at a 1.4% monetisation rate over the same period[DealStreetAsia], which is closer to payments rail pricing. Stripe's published rate for Singapore is 3.4% plus SGD 0.50 per successful charge for domestic cards, with cross-border surcharges applied on top — a per-transaction model with no flat minimum for standard accounts. Xendit operates on a similar structure in Indonesia and the Philippines, with rates that vary by payment method and volume tier but are not fully published.

The regtech and compliance SaaS segment — where Tookitaki, Cynopsis Solutions, and Silent Eight operate — sits between the two worlds. Subscription-based SaaS is the reported standard model[Research and Markets], with per-transaction pricing available for AML screening at scale. Feature mapping between entry-level and enterprise tiers is not publicly documented by any named vendor. No public data identifies the most common upgrade trigger, though the structural logic of AML compliance tools suggests that regulatory examination findings — not voluntary feature adoption — drive most tier upgrades.

Mambu, Temenos, Thought Machine, Finastra, and Brankas all operate in Southeast Asia without publishing prices. This is standard for enterprise core banking globally — the deals are too large, too customised, and too strategically sensitive for list prices to hold. What can be observed is how each vendor positions itself, which reveals the pricing logic even when the numbers are absent.

Mambu and Thought Machine both market cloud-native, composable architecture — the implication being that legacy banks can replace monolithic systems in modular phases rather than a single rip-and-replace. That modularity is a pricing mechanism: it allows vendors to start with a smaller initial contract and expand as more modules go live. The model is effectively land-and-expand, with the base platform fee growing as the bank migrates more functions. Temenos occupies the larger-bank segment and has historically used flat annual licence structures with significant implementation and maintenance fees layered on top. Finastra operates across both payments middleware and core banking, offering what the industry calls a 'treasury and capital markets to retail banking' stack — a breadth that typically commands a platform-level licence rather than a per-module fee. Brankas, the Southeast Asian open finance API provider, announced a partnership with INFOPRO for AI-driven credit in Malaysia in November 2025[Fintechnews MY], but has not disclosed pricing for its API products. Emerging open finance API monetisation models in the region include subscriptions, per-call fees, and per-loan pricing[CCAF] — but no named provider has publicly committed to a specific structure.

The payments layer is the only segment of Southeast Asian fintech infrastructure where pricing data exists in the public domain. Even here, the picture is incomplete — what is visible are monetisation rates (the share of payment volume that becomes revenue) rather than published merchant rate cards. The two data points that matter most come from Grab Financial and ShopeePay in Q4 2024[DealStreetAsia].

Grab Financial's 12% take rate does not reflect raw payment processing economics. It reflects the super-app premium: merchants who need access to Grab's 35 million active Southeast Asian users pay not just for the transaction, but for the distribution. That is a fundamentally different value proposition from a payment rail — and a different pricing conversation. ShopeePay's 1.4% monetisation rate is closer to infrastructure-layer economics: it is the share captured when running payments at scale across Shopee's e-commerce volume, where the competitive pressure from bank transfers and wallets keeps merchant fees compressed. Stripe's published rate in Singapore — 3.4% plus SGD 0.50 per successful charge for domestic cards — sits between the two, reflecting the global brand premium on a volume-sensitive per-transaction model. Xendit, the most relevant comparison for Indonesia and the Philippines, does not publish a single rate; its pricing varies by payment method (bank transfer, card, e-wallet) and negotiated volume tier. The structural implication is that published rates are the ceiling, not the floor: volume discounts are available but only through direct negotiation, and the threshold volumes that trigger discount tiers are not public.

For a founder setting payments pricing in Southeast Asia, the relevant benchmark is not Grab's 12% — that is a distribution premium unavailable to independent infrastructure players. The relevant benchmark is the 1–3.4% band where infrastructure-layer payments providers operate, with compression toward the lower end as transaction volume grows.

The KPMG Pulse of Fintech H2 2025 report identifies a global shift toward outcome-based and usage-linked commercial models in financial technology — the logic being that enterprise buyers who lived through the 2022–2023 rate cycle want cost structures that flex with their business rather than fixed annual commitments[KPMG]. In Southeast Asia, that preference is visible in how digital banks issue RFPs, but it has not yet changed how most deals close.

The reason flat licences persist is structural: vendor revenue predictability and buyer switching costs reinforce each other. A vendor that accepts pure usage pricing accepts revenue volatility — and in a region where most infrastructure vendors are still burning capital to achieve profitability, that volatility is existential. A buyer locked into a flat licence has a sunk-cost incentive to stay, which suits the vendor. The emerging middle ground is a hybrid model: a base platform fee covering a minimum volume threshold, plus a per-unit charge above that threshold. This is how Mambu has described its commercial model in global investor communications, and it is the structure most consistent with how open finance API monetisation is evolving in Vietnam and other ASEAN markets[CCAF].

No named vendor operating in Malaysia, Indonesia, the Philippines, or Thailand has publicly announced a shift from one pricing model to another since 2023. The absence of public announcements is itself evidence: model transitions at the enterprise level are commercially sensitive and handled through quiet contract renegotiation rather than press releases.

No public data from the Singapore Fintech Association, Bank Negara Malaysia, OJK, or BSP quantifies willingness to pay for core banking or payments middleware among tier-2 banks or digital banks in Southeast Asia. No disclosed enterprise contracts appear in public filings. Gartner Peer Insights does not carry sufficient regional reviews of named vendors to construct a pricing benchmark. This is not a search failure — it reflects the structural opacity of how enterprise software is sold to regulated financial institutions in this region.

What the available evidence does support is an indirect inference. B2B fintech LTV runs USD 5,000–15,000 per enterprise customer[DealStreetAsia]. That figure applies to the vendor's economics, not the bank's. For the bank, the relevant frame is total cost of ownership: licence fee, implementation, integration, annual maintenance, and the cost of switching if the vendor relationship ends. The IFC's 2025 analysis of MSME banking digitalisation in emerging markets found that implementation costs for core banking migrations routinely exceed the licence cost in the first three years[IFC] — meaning a bank's true willingness to pay for a licence is constrained not by the licence number itself but by its total budget for the surrounding project.

Preferred contract lengths in Southeast Asia are not publicly documented, but the structure of the market — large upfront migration costs, regulatory compliance requirements that create switching barriers — points toward three-to-five year initial contracts as the functional norm. Discount expectations at renewal are inferred from global enterprise software patterns: 10–20% discount on year-two and year-three renewals when multi-year commitments are signed upfront, with larger discounts available for reference-customer agreements. These figures are analytical inferences from comparable markets, not disclosed Southeast Asian data.

The Asia-Pacific regtech market is growing alongside the broader fintech infrastructure build-out, with Mordor Intelligence projecting the global regtech market at a compound annual growth rate above 20% through 2030[Mordor Intelligence]. In Southeast Asia, the driver is not regulatory ambition — it is regulatory enforcement. Bank Negara Malaysia's RMiT framework, MAS's Technology Risk Management guidelines, and OJK's increasing AML enforcement have all raised the cost of non-compliance, which in turn raises what financial institutions are willing to pay for compliance tooling.

Tookitaki (transaction monitoring and AML), Silent Eight (AI-powered sanctions screening), and Cynopsis Solutions (KYC and customer due diligence) all operate on subscription-based SaaS models — this is the reported standard for the segment[Research and Markets]. None publishes pricing. Per-transaction pricing is available for AML screening at volume, reflecting the computational cost of screening each payment in a high-throughput environment. Feature differentiation between entry and enterprise tiers follows a standard compliance SaaS logic: entry tiers cover rules-based screening with manual review queues; enterprise tiers add AI-driven risk scoring, network graph analysis, real-time API integration, and regulatory reporting automation. The trigger that causes customers to upgrade is almost always external — a regulatory examination finding, a missed SAR filing, or a fine — rather than voluntary product discovery. No named source confirms this pattern for Southeast Asia specifically, but it is consistent with global compliance software behaviour and with the structural reality that compliance buyers do not upgrade until they have to.

For a vendor setting regtech pricing in Southeast Asia, the strategic implication is that the entry price needs to be low enough to win the initial compliance mandate, but the enterprise features need to be structured around the specific regulatory events — examination cycles, reporting deadlines, new AML typologies from regulators — that force the upgrade conversation.

Three structural forces are in motion simultaneously. First, open finance regulatory frameworks — Malaysia's open finance roadmap under Bank Negara, Indonesia's open banking regulation, and the Philippines' Open Finance Framework — are standardising API connectivity, which removes a key source of vendor differentiation and pricing power at the integration layer. When connecting to a bank's core system becomes a regulated API rather than a bespoke integration project, the vendor who previously charged for that integration work loses a revenue stream[CCAF]. Second, cloud-native entrants — Mambu, Thought Machine, and regional players — are offering modular pricing that legacy vendors cannot match without restructuring their commercial model. A tier-2 bank in Malaysia that would previously have faced a single multi-million dollar Temenos licence can now pilot a Mambu deployment at a lower entry cost and scale the fee with account growth. Third, ASEAN's digital economy is projected to surpass USD 300 billion by 2025[Temasek / Google / Bain], which means the buyer pool — digital banks, embedded finance platforms, super-apps — is growing faster than the vendor supply, temporarily sustaining pricing power for credentialed infrastructure providers.

The base case is a slow structural shift: flat licences persist for the next three years among established banks while digital-bank-focused vendors move toward hybrid base-plus-usage models. The bear case for vendors is regulatory-forced standardisation that turns their differentiated integrations into commodities faster than they can pivot to higher-value services. The bull case — available only to vendors who move first — is that outcome-based pricing anchored to revenue generated on the platform creates a new pricing ceiling far above current licence economics.