PAYMENT SYSTEMS
Payment gateways, pay-ins, payouts, provider routing, cascading, acquiring, settlement and reconciliation — so many provider failures are handled by routing and failover instead of manual intervention.
CUSTOM SOFTWARE ENGINEERING · SINCE 2008
CUSTOM SOFTWARE FOR FINTECH, PAYMENTS, BLOCKCHAIN & ACCOUNTING
Red Monkey is a custom software engineering company building payment, blockchain, accounting and operational systems. AI removes a large part of the routine implementation work, giving senior engineers more implementation capacity and shorter implementation cycles without giving up engineering ownership.
Systems are designed, reviewed and released under the ownership of engineers with production experience in financial software. The tooling changed. Who answers for the system did not.
WE BUILD THE SYSTEMS BEHIND FINANCIAL OPERATIONS
Five engineering directions, all in financial and operational software.
BLOCKCHAIN PAYMENT INFRASTRUCTURE
Wallets, deposits, withdrawals, node integrations, transaction monitoring, sweeps and fee management, designed to handle reorgs, delayed confirmations and stuck transactions.
LEDGERS & ACCOUNTING SYSTEMS
Double-entry cores, balances, holds, commissions, reconciliation and financial reporting, with automated invariant tests that verify the books balance on every release.
BUSINESS & BACK-OFFICE SYSTEMS
Workflow, administration, inventory, procurement, payroll and operational reporting — the internal systems operations, finance and support teams use daily.
INTEGRATIONS & MODERNIZATION
Provider and bank integrations, adapters, migrations and incremental modernization of systems already running in production.
ENGINEERS DESIGN THE SYSTEM. AGENTS SCALE IMPLEMENTATION.
The engineering work is the same one it has always been: understand the money, model the domain, decide the failure behaviour. What changed is how quickly our engineers can turn that decision into working, tested code.
ANALYZE & ARCHITECT
Our engineers define business flows, domain models, boundaries, integrations and system architecture.
SPECIFY & DECOMPOSE
Requirements become specifications and bounded implementation tasks with explicit acceptance criteria.
BUILD WITH AI
Engineers drive coding agents through those tasks — code, migrations, integrations, tests and documentation. Every change is reviewed by an engineer.
VERIFY & RELEASE
Engineers review architecture, correctness, security, financial invariants and production readiness, then sign the release.
AGENTS PROVIDE IMPLEMENTATION CAPACITY. ENGINEERS OWN ARCHITECTURE, SECURITY AND PRODUCTION.
Bounded tasks can run in parallel, increasing implementation throughput while review and quality gates remain engineer-controlled.
VERIFICATION
Financial invariants · idempotency · concurrency · reconciliation · failure and retry behaviour · contracts · load
SECURITY & AUDITABILITY
Audit trails · RBAC · sensitive-data boundaries · KYC/AML integrations · resilience
Architectures can be designed for PCI DSS-, GDPR- and data-residency-constrained environments; certification scope is client-specific.
SYSTEMS WE'VE BUILT
Client confidentiality is part of the job, so the names are gone and the systems are not.
PAYMENT ORCHESTRATION PLATFORM
Pay-ins, payouts, provider routing, cascading, merchant configuration and reconciliation.
Architecture · Backend · Provider adapters · Admin
CRYPTO PROCESSING PLATFORM
Blockchain wallets, deposits, withdrawals, transaction monitoring and ledger integration.
Wallet & node infrastructure · Sweeps · Fees · Ledger sync
FINANCIAL LEDGER
Multi-currency accounting, balances, holds, fees, settlement and reconciliation.
Domain model · Double-entry core · Invariant tests · Reporting
KYC GATEWAY
Unified API over multiple KYC providers with routing, normalized statuses and audit history.
Adapters · Routing rules · Audit storage · Observability
YOUR TEAM CAN WORK THIS WAY TOO
We help engineering teams introduce coding agents into production development workflows — specifications, task boundaries, repository context, quality gates, CI/CD and team practices.
ASSESS
Your current development process, tooling, process bottlenecks and handoffs.
DESIGN
Specs, repositories, agent context, task boundaries and quality gates.
PILOT
One real module implemented end-to-end through the new workflow.
ROLLOUT
CI/CD integration, team practices and training for your engineers.
SENIOR ENGINEERING OWNERSHIP
We have been building financial software since 2008. Our engineering team brings production experience across payments, ledgers and blockchain infrastructure, and remains accountable after release.
DOMAIN & ARCHITECTURE
Money flows, domain models, boundaries and integration design. Defines the system before implementation begins.
BACKEND & INFRASTRUCTURE
Services, data models, messaging, storage and deployment topology, and how all of it behaves under production load.
DELIVERY & OPERATIONS
Specifications, quality gates, CI/CD, migrations, releases, observability and incident response.
Rather hear this from an engineer than from a website?
TALK TO AN ENGINEERTHE QUESTIONS YOU ARE ACTUALLY ASKING
Short answers to what usually comes up in the first technical conversation.
How is AI used on our project?
Our engineers define the architecture, write the specification and split it into bounded implementation tasks. Coding agents implement those tasks — code, migrations, integrations, tests and documentation — and an engineer reviews every change before it lands. Architecture, security decisions and the release itself stay with the engineers.
Does AI have access to production or to our data?
Agents receive access only to the code and project context required for assigned tasks. Production systems, production data, secrets and deployments remain human-only. For client projects we use approved tools and configurations whose commercial terms do not permit training on client code or data, and NDAs cover the engagement as they always have.
Where does the efficiency come from?
From implementation throughput. Bounded tasks can be implemented in parallel, so routine implementation can take less calendar time, while review and quality gates remain engineer-controlled and take as long as they need to. Senior engineers spend more of their hours on architecture, financial rules and verification.
What if we want to take the system in-house later?
You take it. Specifications, tests, migrations and documentation are produced as part of development, so handover starts from an already documented and tested system rather than from a separate documentation project.
Can you work alongside our own engineers?
Yes, and we often do. We can take a bounded part of the system, join an existing team, or set the whole agent-assisted workflow up inside your organisation — that last one is a service in its own right.
How do we start?
Send us a system brief, an existing architecture or a repository through the form below. A technical conversation first, a scoped proposal after it. We can start from requirements or from software that is already running.
TELL US WHAT YOU ARE BUILDING
BUILD
New financial, blockchain or operational system from requirements to production.
EXTEND / MODERNIZE
Join an existing system, document it and develop or replace components incrementally.
AI DEVELOPMENT SETUP
Introduce agent-assisted development into your internal engineering team.
DISCUSS A SYSTEM
Tell us about the system, the architecture you already have, or the codebase you want us to join. An engineer reads every message and replies — no sales funnel in between.
Prefer email? [email protected]