1,300+
Fintech firms operating in Singapore - the largest fintech ecosystem in Southeast Asia.
Source: Monetary Authority of Singapore (MAS)
Fintech
Custom Software, AI Features, and Secure Delivery for Fintech Teams
From Singapore - engineering from Vietnam. Custom development, AI features, and security-conscious delivery for fintech products.
Market context
A regional fintech hub built on reputation, talent, and infrastructure
Singapore is Southeast Asia's fintech center. The opportunity is real - and so is the bar for engineering quality.
S$150M
MAS Financial Sector Technology and Innovation Scheme (FSTI3.0) - co-funding fintech innovation 2025-2028.
Source: Monetary Authority of Singapore (MAS)
USD 13.97B → 29.22B
The projected size of the Asia-Pacific fintech market by 2030, growing at 20.2% CAGR from 2024.
Source: Mordor Intelligence, Singapore Fintech Market (2026).
What we build for fintech teams
Four areas where we deliver for fintech teams
Custom engineering for specific fintech use cases - not a packaged fintech product suite.
Payment integration and processing
Integrating payment gateways, e-wallets, QR payment networks, and bank APIs into customer-facing products and back-office systems. We have experience integrating Stripe, regional e-wallet providers, and QR payment standards. Typical work includes checkout flows, recurring billing, refund handling, and reconciliation tooling.
Customer-facing fintech applications
Mobile and web apps for digital banks, wealth platforms, lending, and insurance products. This includes onboarding flows, KYC integrations (Sumsub, Onfido, Jumio, or equivalents), authentication, dashboards, and transaction history. We focus on the application layer and partner with your compliance team on regulated decisions.
AI features for finance
AI capabilities embedded into fintech products, including document processing for KYC and onboarding, transaction anomaly detection, conversational AI for customer service, and risk scoring models. Adamo's AI services are a core capability, built with the same engineering discipline used across regulated industries.
Back-office and operation tools
Internal admin dashboards, reconciliation tools, reporting systems, and operational workflow software. This is often where fintech teams have the most engineering debt - customer-facing products get attention, but ops tools accumulate workarounds. We build these systems to be auditable, with clear data lineage and event logging from day one.
Why Adamo
Three reasons fintech teams choose us
Engineering quality at sub-enterprise pricing
We deliver to enterprise-grade engineering standards (ISO 27001, code review discipline, secure development practices) at price points that work for mid-market fintech firms (200-1,000 employees, USD 50M-500M revenue). For teams that have outgrown freelance or boutique vendors but are not ready for Big 4 fees, we sit comfortably in the middle.
AI capability built in, not bolted on
Our AI services are a core practice across industries, not a marketing add-on. If your fintech roadmap includes AI features (document processing, fraud signals, conversational AI), you get an engineering partner that has built these systems before, in domains where reliability matters.
Singapore engagement, Vietnam engineering
Our Singapore office handles consultation, account management, and on-the-ground project coordination. Engineering is delivered from Vietnam, where we have 170+ engineers and lower cost structure. You get APAC time-zone responsiveness without paying Singapore engineering rates.
Considering Adamo for a fintech engineering project?
Talk to our teamContinue exploring
Case Studies
All CasesCase Studies
WebTravel & HospitalityUS
Magpie - Your go-to for a powerful Content Management experience
The client collaborated with Adamo Software to establish a central and independent CMS to optimize operations for both travel operators and their distribution partners.
WebAIHealthcareEU
Mediverse AI Platform – The Intelligent Ecosystem for Digital-First Healthcare
The next-gen medical ecosystem that connects every aspect of modern healthcare — clinics, laboratories, imaging centers, and global pharmacies — into one unified digital experience.
WebE-commerce & RetailIN
Lenskart — AI-powered E-commerce for Eyewear with Virtual Try-On
How Adamo helped Lenskart bring an in-store eyewear experience online through AI-powered virtual try-on, refined product discovery, and flexible checkout.
WebTravel & HospitalityAU
Wake Up Here - Building a Cross-Border Travel Booking Platform from the Ground Up
How Adamo built the entire website and payment infrastructure for an Australian travel company serving the American mature travel market.
FAQs
Frequently asked questions
RESOURCE HUB
Driving Transformation. Our Insights.
PDPA Compliance for Healthcare Software: A Practical Guide
How PDPA compliance applies to healthcare software in Singapore: health data obligations, vendor duties, cross-border transfer, and technical controls.
Software Development Outsourcing in Singapore: Costs and How to Choose a Partner
Explore software development outsourcing in Singapore, including costs, pricing models, key benefits, and practical tips for choosing the right partner.
Software Outsourcing Cost Breakdown: Fixed-Price, Dedicated Team, Time and Materials model
Compare the three most common software outsourcing pricing models. Learn their pros, cons, costs, and when to choose each model for your software development project.
Tell us about your ideas, and we'll offer the most fitting solution.
(5 reviews)
Singapore's office: 470 North Bridge Road, #05-12, Bugis Cube, Singapore 188735
Where AI fits in fintech work
Where AI is actually useful, and where it isn't
Three areas where AI adds measurable value to fintech products today.
01.
Document processing and KYC automation
Extracting structured data from identity documents, proof-of-address, and corporate filings during onboarding. This reduces manual review queues by 40-70% in well-scoped projects. The hard part is not the model, it is handling edge cases, document quality variation across markets, and creating audit trails for compliance review.
02.
Transaction anomaly detection
Pattern detection on transaction flows to surface unusual behavior for human review. This is not full fraud prevention, it is a triage layer that reduces the workload on fraud analysts. We build these as part of customer products or back-office tools, with explainability features so analysts can understand why a transaction was flagged.
03.
Conversational AI for customer support
Chatbots and assistants for tier-1 customer queries: balance inquiries, transaction history, basic dispute initiation, and FAQ resolution. Done well, these reduce contact-center volume meaningfully. Done poorly, they can quickly damage trust, so we recommend conservative scope, clear human handoffs, and careful evaluation before launch.
When we recommend against AI
Final approve/deny decisions on lending, regulatory reporting that requires explainability, and any decision where the consequence of a wrong output cannot be reversed. AI should support these workflows, not replace human judgment in them. We will flag this early if a project scope drifts in this direction.