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stackworx

AI INTEGRATION FOR EXISTING SOFTWARE

Add AI to your existing Rails app without rebuilding it.

For SaaS teams and operators with a working Rails product who want AI features inside it. We pick the first feature worth building, integrate it into your existing architecture, and measure its quality before it reaches users.

  • AI inside your workflows, not a bolt-on chatbot
  • Built on your existing Rails codebase
  • Quality checked before launch

10+ years ยท systems trusted on 32M+ transactions

Get an AI integration plan

Free 45-minute Systems Discovery Call. We identify the first AI feature worth building.

No spam. We reply within one business day.

////WEโ€™VETRUSTED BY

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EzyAgent logo
B Tempt'd logo
Project Reef logo
Zentap logo
Shadowbox Studios logo
Midway Sports logo
Scooter King logo
Mega Store logo
Load Better logo
Raw Dynamic logo
Solefy logo
Tim Hortons logo
Flip App logo
Liv Modrn logo
Titans Law logo
Crypto trading platform logo
Revbits logo
Hyper Sphere logo
Next Agency logo
Maia logo
Timbits logo
EzyAgent logo
B Tempt'd logo
Project Reef logo
Zentap logo
Shadowbox Studios logo
Midway Sports logo
Scooter King logo
Mega Store logo
Load Better logo
Raw Dynamic logo
Solefy logo
Tim Hortons logo
Flip App logo
Liv Modrn logo
Titans Law logo
Crypto trading platform logo
Revbits logo
Hyper Sphere logo
Next Agency logo
Maia logo

SOUND FAMILIAR?

Everyone wants AI in the product. Nobody wants to break production.

  • Customers and leadership are asking for AI features in your product.
  • Your team has a prototype, but no path to production.
  • You are not sure which AI feature is worth building first.
  • You worry about cost, latency, and wrong answers reaching users.
  • Sensitive customer data needs to stay under your control.
  • The Rails codebase was not designed with AI in mind.

WHY CHOOSE STACKWORX

AI, inside the systems you already run

Not a chatbot bolted onto your homepage. We wire AI into the workflows that move your business, where it actually earns its keep.

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Start with one feature

We pick a first feature with clear value and measurable quality, rather than an AI roadmap that never ships.

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Fits your Rails architecture

Background jobs, caching, and fallbacks so AI calls do not slow down or take down the rest of the app.

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Measured before launch

We define what a good result looks like and test against it before users see the feature.

WHAT YOU GET

AI features in existing software, done properly

01Core

AI integration for Rails apps

AI features built into your existing Rails product and the data it already holds.

  • Rails
  • LLM APIs
  • Background jobs

02

Feature selection & scoping

Choose the first AI feature by value, risk, and how easily its quality can be measured.

03

Text generation & classification

Drafting, summarizing, and classifying inside the workflows your users already use.

04

Recommendations

Product and content recommendations built into the flow, as we did for Midway Sports.

05

Guardrails & data controls

Prompt design, output checks, and rules for what data leaves your system.

06

Monitoring & cost control

Tracking quality, latency, and usage costs after launch.

Proof ยท Midway Sports

AI recommendations in a production store.

AI product recommendations built into Midway Sports' Shopify operation, alongside the order and inventory system behind 18.5M+ transactions and 200,000+ SKUs.

18.5M+transactions processed

Midway Sports order and inventory management system

HOW IT WORKS

From first call to an AI feature in production.

  1. 01

    Discovery call

    A 45-minute call on your product, your data, and what users need.

  2. 02

    Pick the first feature

    We scope one feature and define how its quality will be measured.

  3. 03

    Build & evaluate

    Built into your Rails app in increments and tested before launch.

  4. 04

    Own it

    We monitor, tune, and extend the feature long-term.

WHAT CLIENTS SAY

Partners, not vendors

Farooq did an excellent job with our Shopify inventory sync integration.

elena_nevex

Fiverr client, United States

FAQS

Before You Get Started

We build and take ownership of the systems your business runs on: custom Shopify apps, Ruby on Rails platforms, third-party integrations, and practical AI workflows. Most clients come to us when off-the-shelf apps and quick fixes stop scaling.

Both. A large part of our work is taking over existing Rails and Shopify codebases, stabilizing them, and then extending them. We start with a technical audit so you know exactly what you have before anything changes.

We add AI inside the systems you already run rather than bolting on a separate tool. Typical work includes content generation, document and data extraction, product recommendations, and support automation, shipped as a focused AI Integration Sprint with measurable outcomes.

Most clients start with a Technical Audit or an AI Integration Sprint. From there we move to an MVP build or a dedicated product team on a monthly retainer, depending on how much ongoing work you have.

Mostly ecommerce brands on Shopify and SaaS companies in PropTech, InsurTech, and FinTech. Our platforms have processed 32M+ transactions and serve 20,000+ real estate agents.

Our senior engineering team is based in Lahore, Pakistan, and we contract with US clients through Stackworx LLC, our Wyoming company. We work across time zones with regular overlap hours, async updates, and long-term ownership of the systems we build.

Ready to add AI to your Rails app?

Book a 45-minute Systems Discovery Call. You leave knowing which AI feature to build first and how it fits your app, whether you hire us or not.

CONTACT

OFFICES

Pakistan

G3 block, Johar town
Lahore, Punjab, PK

United States

Stackworx LLC
Sheridan, Wyoming, USA