Production-Grade EWA Platform in 10 Months and Scaled to 10K+ Employees

MVP-to-Scale Fintech Platform Delivery

Client Snapshot

  • Client: Monto — fintech enabling employees to access earned wages on demand via a mobile-first experience.
  • Context: A transactional fintech product lives or dies by data consistency, payment reliability, auditability, and user trust. The platform had to scale quickly while remaining stable, maintainable, and integration-ready.

Project

Built Monto’s end-to-end earned wage access platform—delivering an MVP in 10 months, then scaling the product in tandem through 2022–2023 during rapid growth milestones (including Y Combinator).

Summary

Axented operated as Monto’s product engineering team, owning architecture, backend, mobile delivery, cloud infrastructure, and the transactional integration layer required to move money reliably.

Quick facts

Fintech · Full Product Build + Ongoing Development · Mexico · 2022–2023 · Team: 3 (Architect/Backend/Frontend) · 10+ enterprise clients · 10,000+ employees onboarded

Challenge

  • Deliver a production-grade MVP fast while building a foundation that could sustain enterprise onboarding and high-frequency usage without a rewrite.
  • Implement robust financial workflows (disbursement + transaction lifecycle + reconciliation) where failures can’t be “best effort.”
  • Operate with a lean build pod while maintaining engineering discipline: async processing, idempotency, retries, and clean separation of domain modules.

What We Delivered (Modules & Capabilities)

We implemented Monto’s core product as modular, production-grade subsystems—each designed for correctness, observability, and scalability.

A) Onboarding

  • Employer onboarding workflows and associated employee enrollment flows.
  • Configuration of organizational rules, eligibility, and initial operational parameters required for wage access.

B) Payroll Cycle Ingestion

  • Ingestion pipeline for payroll cycle data to support eligibility, earned wage computation inputs, and schedule-aware availability.
  • Background processing patterns (queue-based async) to manage periodic/batch operations safely and predictably.

C) Ledger & Reconciliation

  • Ledger-style records and reconciliation workflows to ensure traceability of earned wage operations and payouts.
  • Designed for auditability: aligning platform state with payment execution state, supporting reprocessing paths when external events fail or arrive out of order.

D) Notifications

  • Event-driven notifications to improve transparency and reduce support burden (status updates, confirmations, exception handling).
  • Structured notification triggers tied to transaction and onboarding lifecycle milestones.

E) Payment Disbursement

  • Disbursement orchestration integrated with STP, engineered to be resilient under partial failures.
  • Patterns for retries, error classification, and safe recovery without duplicating payouts.

F) Payment Transactions

  • Transaction lifecycle management (creation → processing → confirmation/settlement states).
  • Built to support idempotent execution and consistent state transitions in a real-world payment ecosystem.

5) Technical Implementation (Stack & Architecture)Backend

  • Ruby on Rails backend with PostgreSQL as the system of record.
  • Redis for caching and background job orchestration/memory (async workloads, event handling, batch ingestion).
  • Integration-layer hardening for payment flows (idempotency keys, retry strategy, failure-mode handling).

Frontend

  • Hybrid mobile application using Ionic (Angular) to support iOS/Android with a unified codebase and consistent experience.

Infrastructure

Deployed on AWS using:

  • EC2 for compute
  • RDS for managed PostgreSQL
  • S3 + CloudFront for asset storage and global delivery
    • Built for practical scalability (environment separation, performance-aware asset delivery, and production deployment hygiene).

Results (Outcomes That Matter)

  • MVP delivered in 10 months: from zero to a working platform capable of onboarding employers and employees and executing core wage access workflows.
  • Scaled adoption: ramped 10 major clients and onboarded 10,000+ employees to the apps.
  • Growth-ready engineering foundation: continued building through 2022 and 2023 (post-MVP) without needing a platform rewrite—supporting versioned releases and feature expansion.
  • Execution under high stakes: sustained delivery velocity through key growth milestones (including YC), balancing speed with reliability in a trust-sensitive fintech environment.

Team & Delivery Model

Team (3-person pod):

Architect / Tech Lead: system architecture, payment integration strategy, engineering standards, infra direction

Backend Engineer: Rails development, data modeling, background processing, reconciliation workflows

Frontend Engineer: Ionic/Angular hybrid app delivery, UX implementation

  • Operating model: iterative delivery with continuous prioritization, incremental releases, and tight client collaboration to keep engineering aligned with GTM needs.

Client Testimonial

https://monto.mx/

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Axented stayed on top of delivery and responded fast—exactly what you need when the product is scaling.

Andrés Quintanilla, CEO
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