What We DO

Data & AI & ML

Build the data foundation first, then the intelligence on top—modern lakehouse platforms, automated pipelines, and governed, trusted data that power predictive analytics, machine learning, and production-grade AI, with monitoring and security built in.

Data Engineering & Automated PipelinesData Lakehouse & Warehouse ModelingData Governance, Quality & LineageAnalytics, BI & Predictive ModelingGenerative AI, RAG & AI AgentsMLOps & LLMOps Monitoring

Cloud Solutions

Modernize your infrastructure and move to cloud with confidence—designed for security, reliability, and cost efficiency, with automation and observability built in for long-term scale.

AWS / Azure / GCPCloud MigrationCloud-Native ArchitectureMicroservicesDevOps & CI/CDObservability & Cost Optimization

Security & Blockchain

Protect your digital products and build trusted Web3 solutions—combining application security, penetration testing, and secure architecture with smart contract engineering and blockchain development.

Application Security & Pen TestingSecurity Architecture & ComplianceSmart Contracts & dAppsToken & NFT UtilitiesWallet IntegrationOn-chain / Off-chain Design

UI/UX Design Thinking

Human-centered design backed by research and rapid validation—so teams align early, reduce product risk, and ship experiences users actually enjoy and understand.

Design Thinking WorkshopsUser ResearchUX Flows & WireframesUI Design & Design SystemsPrototypingUsability Testing

Super App Development

Build a super app platform that unifies services in one place—modular by design, integration-ready, and engineered for high traffic, smooth user journeys, and long-term evolution.

Modular Mini-App ArchitectureIntegration Layer & APIsIdentity & PermissionsPayments & WalletReal-Time & NotificationsHigh-Traffic Performance

Custom Software

Custom software built to fit your workflows, goals, and timeline—delivered with clear scope, clean engineering, and a steady cadence so outcomes stay predictable.

Web Apps & SaaSMobile ApplicationsEnterprise SystemsSystem IntegrationData Platforms & ReportingMaintenance & Long-Term Support

Engagement MODELS

AI/Data Service

Fixed-scope AI & data packages — from a 15-day PoC to a governed production platform

Most organizations are overwhelmed by massive, fragmented data sources, and traditional reporting can't deliver insights fast enough for competitive decisions. We build the data foundation first—modern lakehouse platforms, automated pipelines, governed and trusted data—then layer intelligence on top: predictive models, generative AI, and AI-accelerated delivery. Every engagement starts small, proves ROI on one specific problem, and scales only once the value is measured.

DATA & AI CAPABILITIES

Modern Data Stack: migration to and optimization of cloud-native platforms such as Snowflake, Databricks, or BigQuery

Automated Data Pipelines: replacing manual ETL with automated ELT workflows built on dbt and Apache Airflow

Data Lakehouse Architecture: the cost profile of a data lake with the performance and governance of a warehouse

Governance & Quality as a Service: automated observability that catches anomalies before they reach executive dashboards

Predictive Analytics & ML: churn prediction, LTV forecasting, retention and cohort analysis, fraud and risk scoring

GenAI, RAG & MLOps: document automation, sentiment analysis, internal knowledge bases, plus drift monitoring in production

PRODUCTIZED OFFERINGS

15-Day Proof of Concept: a low-risk entry point that solves one specific problem—such as a churn model for a single product line—to prove ROI before you commit

Industry-Specific Dashboards: ready-to-use BI templates for e-commerce, fintech, and logistics that connect straight to standard data sources

Customer 360 & Personalization: unify CRM, social, and web traffic into one source of truth that drives marketing automation

Data-as-a-Service (DaaS): curated, ready-to-use datasets for specific market research and reporting needs

AI-Accelerated Delivery (AI-SDLC): human-led, AI-accelerated engineering that ships around 30% faster at up to 40% lower cost

AI Agents & Automation: moving generative AI from chatting to doing, with guardrails, quality gates, and strict data-safety controls

WHAT WE DELIVER

A data architecture blueprint mapping ingestion, storage, and serving layers end to end
Production pipelines with orchestration, monitoring, and automated data-quality checks
Dashboards and reports that cut time-to-insight—60% faster on a recent platform serving 300,000+ monthly active users
Trained and validated models with clear accuracy baselines, business impact framing, and a retraining plan
Handover documentation, runbooks, and MLOps/LLMOps monitoring so the system stays accurate and doesn't drift

BEST FOR

Organizations with data fragmented across CRM, product, billing, and marketing tools
Teams that need to prove AI or data ROI quickly before funding a full platform build
Products that need predictive intelligence—churn, fraud, demand, or lifetime value
Companies scaling data operations while keeping governance, security, and cost under control

Want the full picture—architectures, case studies, and measured results?

Explore our Data & AI profile

Partnership OPPORTUNITIES

Referral Program

Earn meaningful rewards from trusted introductions

If you know a team that needs help building or scaling digital products (Cloud, AI/ML, UI/UX, Super Apps, Blockchain, Custom Software), introduce them to Madison. When your referral becomes a qualified opportunity and signs an engagement, you earn a generous reward—based on the project value.

How it works

Submit a referral (name, company, context)

We qualify & scope the opportunity (you stay in the loop)

You get rewarded when the engagement is confirmed

Key features

Earn up to 10% commission based on project value — with multi-level referral rewards and no limit on levels
Unlimited referrals, unlimited earning potential
Fast, simple process (no paperwork overload)
Transparent tracking of status and progress
Co-selling support: intro scripts, decks, and solution guidance
Partner-friendly communication: clear rules, clear timelines, no surprises

Best for

Founders, product leaders, and operators with strong networks
CTOs, engineering managers, and technical leaders connecting teams to proven execution
Agencies/consultants who want a trusted delivery partner
Communities, KOLs, and builders connecting teams to reliable execution

Frequently Asked Questions

What services does Madison Technologies offer?

Madison Technologies delivers eight service lines: data engineering, AI and machine learning, data lakehouse and analytics, security and blockchain engineering, cloud architecture and migration across AWS, Google Cloud and Azure, UI/UX design thinking, super app development, and custom software development. Most engagements combine several — a super app build, for example, typically spans cloud, custom software and security.

How does Madison Technologies price a software project?

Madison Technologies offers two commercial models. Time and Materials suits evolving scope: work runs in sprints with milestone-based planning and rolling budget forecasts, usually starting with a short technical assessment. Dedicated Resources suits sustained work: a fixed squad embeds into the client workflow at a steady cadence, giving a predictable monthly cost. Which one fits depends on how settled the scope is, and that is the first thing a consultation establishes.

Does Madison Technologies work with startups or only enterprises?

Both. Madison Technologies has delivered over 120 projects for more than 100 clients, ranging from Fortune 500 enterprises such as Visa and Experian APAC to early-stage startups. The engagement model differs more than the engineering does: startups more often take a dedicated squad to establish velocity, while enterprises more often start with a scoped assessment against an existing system.

Where are Madison Technologies engineers based?

Delivery runs from the Da Nang development center in Vietnam, which holds 72 of the 90 people at Madison Technologies. The remaining team sits in Kuala Lumpur (headquarters), Singapore, the United States and the United Kingdom, handling account leadership and client-facing work in their own time zones.

How long does it take to start a project with Madison Technologies?

A first consultation is free and typically leads to a short technical assessment before any commitment. For Dedicated Resources engagements, a squad is normally assembled and onboarded within a few weeks of scope agreement; Time and Materials work can begin as soon as the first sprint is planned.

Which industries has Madison Technologies built products for?

Madison Technologies has shipped production systems in fintech (Fave, Koinworks), proptech and construction (Gamuda Land, Gamuda Group), logistics and supply chain (Quincus), retail and shopping centres (IKANO, IPC), cybersecurity (Horangi), healthcare and veterinary services (VetIT), automotive marketplaces (Carsome), and the public sector.