Dedicated Team

How AI and Computer Vision RevolutionizedBill Payments in the U.S.

Founded in 2016, a U.S. fintech set out to make bill payments faster and more efficient.

  • +550K

    payments processed

  • 100K+

    Android downloads

  • 4.7

    app rating

Challenge

Scale on Android

In a market still dependent on paper invoices and mailed checks, the company's mission was to simplify payments through technology.

Luby partnered with the company to bring this vision to life — building a robust Android app powered by AI and computer vision that automated invoice reading and payments, helping the fintech secure major funding from top-tier VCs.

While the client had successfully launched its iOS app, its growth was limited — half of U.S. users were on Android, leaving a massive share of the market untapped.

The challenge: build a fully native Android app from scratch, replicating the functionality of the existing iOS version while improving technical scalability, performance, and automation.

The client turned to Luby as a consultative and technical partner to lead the development and expand its reach across the U.S. fintech market.

Reach Android users at parity with iOS quality

Ship AI + computer vision for invoice capture at scale

Improve performance and maintainability (Java → Kotlin)

Integrate payments (e.g. Plaid) securely and quickly

Solution

Native Android, AI, and agile delivery

A dedicated fintech squad built the Android app with AI and computer vision to read invoices and execute payments — starting in Java, then rebuilding in Kotlin for performance and stability.

Squad composition

2 Android Developers
1 iOS Developer
1 QA Engineer
1 Product Owner

Luby worked with the client's product team using Scrum — participating in planning and iterations to:

Understand user and client needs
Identify improvement opportunities
Optimize functionality and technical efficiency

Continuous evolution

As the client matured, it internalized much of product development but continued to rely on Luby for specialized engineering — maintenance, test automation, releases, and integrations with financial providers. This model gave the client agility, technical confidence, and consistent quality through growth.

Key integration — Plaid

Luby's integration specialists connected the client's app with Plaid so users could link bank accounts for real-time payments and transfers — deployed rapidly and securely.

Results

Impact

+100K

Android downloads

4.7★

Average rating

+550K

Payments processed

$300M+

Valuation growth

The client expanded into Android with a high-performance, AI-driven app — strengthening its position among innovative U.S. bill-payment fintechs.

I was very pleased working with the Luby team. Everyone is professional, responsive, and flexible. They've been open to suggestions, new ways of collaborating, and always seek feedback to continuously improve the process.

CTO & Co-Founder

U.S. bill-payment fintech

Tech & stack

Skills & technology

Skill set

Mobile Development (Android & iOS)
QA & Automated Testing
Product Ownership
Integration Engineering

Tech & stacks

Kotlin (Android)
Swift (iOS)
Java
Appium
AI / Computer Vision
Plaid API Integration
Secure Cloud Infrastructure
Kotlin (Android)
Swift (iOS)
Java
Appium
AI / Computer Vision
Plaid API Integration
Secure Cloud Infrastructure

Ready to scale your fintech with real AI execution — not just experimentation?

Let's make it happen. Talk to our team about product delivery and AI-powered mobile apps.

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