Dedicated Team
    Papaya

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

    Papaya, founded in 2016, set out to make bill payments in the U.S. 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, Papaya'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 Sequoia Capital and Sound Ventures.

    While Papaya 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.

    Papaya turned to Luby as a consultative and technical partner to lead the development and expand the company's 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 Papaya'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 Papaya 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 Papaya agility, technical confidence, and consistent quality through growth.

    Key integration — Plaid

    Luby's integration specialists connected Papaya'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

    Papaya 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.

    Jason Meltzer

    CTO & Co-Founder, Papaya

    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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