.svg)
Not a chatbot wrapper. Not a prompt playground. Full-stack applications with AI embedded where it creates value, complete with user management, payment systems, admin panels, and the infrastructure to handle real traffic.
We built an AI-powered Amazon appeal generation system using Retrieval-Augmented Generation (RAG) trained on 46 real, successful appeal templates. The system analyzes the specific suspension reason, maps it to the closest winning precedents, and drafts a tailored Plan of Action in minutes, not days. Deployed across 2,000+ appeals with an 87% reinstatement success rate.
A prompt in a text box is not a product. Users need guided input flows, clear output formatting, error states, loading indicators, and an interface that doesn’t require them to understand how the AI works. Design matters as much as the model.
A demo that works for 10 test queries often breaks at 1,000 real ones. Edge cases surface. Rate limits hit. Responses take too long. Data formats vary. Building for production means handling every scenario the demo never encountered.
Real applications need user accounts, data storage, access controls, audit trails, and compliance with privacy requirements. The AI model is one component in a larger system that needs to be architected for security, performance, and maintainability.
Our approach to AI application development follows five phases, each one designed to close the gap between AI capability and production reality.
Every project begins with understanding what the application needs to accomplish and who will use it. We map out how users will actually move through the product, cut out any AI that doesn't pull its weight, and nail down the leanest version that still gets the job done. Before any tools or models get chosen, we put success in writing as something measurable.
The full architecture is worked out on paper first. Frontend, backend, database, AI models, APIs, auth, deployment. Nothing gets built until every decision has a reason behind it.
The AI layer is built around the specific use case, not dropped in as an afterthought. That looks like:
The AI runs on the same database, the same authentication, and the same error handling as everything else in the system.
We build the complete application, everything a production product actually needs:
We test against real data and real edge cases before anything goes live. Performance gets stress-tested, security gets reviewed, and real users get their hands on it before anything ships. After launch, we stay on to catch whatever only surfaces once actual people are using the product.
Responsive, production-quality frontend built for your users, not a developer dashboard. Guided input flows, clear output formatting, loading states, error handling, and a design that works on desktop and mobile.
Not a prototype or a proof of concept. A working product on real infrastructure, with real users, handling real data. Deployed to Vercel, AWS, or your preferred platform.
You get the complete codebase. No lock-in, no proprietary frameworks, no dependency on us to keep the lights on. Clean, documented code your team or any competent developer can maintain.
RAG systems built on your documents. Classification models trained on your categories. Prompt templates refined for your use case. Confidence scoring and cost optimization designed for real-world usage patterns, not demo conditions.
Your team manages AI prompt configurations, templates, model settings, and parameters through a purpose-built admin panel. No tickets. No developer sprints. Direct control over AI behavior.
Architecture documentation, setup instructions, and operational guides. Your team (or your next developer) can understand, maintain, and extend the application independently.
An AI automation agency takes the repetitive, time-consuming parts of your business and builds systems that handle them automatically. That could mean workflow automation, custom AI web apps, document generation, data pipelines, or customer service systems that actually make sense, whatever your operation needs. We’re not your typical software agency, we specialize in baking AI models like GPT-4o and Gemini directly into the workflows where they matter most.
Regular automation follows fixed rules: if X happens, do Y. AI automation adds intelligence to those decision points, it can classify emails by intent, generate documents from context, score risk across multiple data sources, and handle scenarios that don’t fit neatly into if then logic. The result is automation that handles the ambiguous middle ground your team currently manages manually.
Our deepest experience is in legal services, construction, and e-commerce, three industries where we’ve shipped production platforms with published case studies and real metrics. That said, the underlying skills (workflow automation, AI integration, full-stack development) apply across industries. If your business has repeatable processes involving data, documents, or communication, we can likely help.
Pricing varies, a lot. The scope of your project is really what drives the number. A focused workflow automation connecting a few tools is a different investment than a full-stack AI web application with user management, payments, and admin panels. We scope every project in detail before quoting, you’ll know the exact cost, timeline, and deliverables before any work begins. No vague estimates.
Most projects ship in 2 to 8 weeks depending on complexity. A workflow automation connecting existing tools might take 2-3 weeks. A custom AI web app, RAG pipelines, auth, payments, usually lands somewhere between 4 and 8 weeks. We scope things tightly and build in phases, so you're seeing real progress the whole way through, not just a big reveal at the end.
No. Most of our clients come to us with a business problem, not a technical spec. You describe the process that’s eating your team’s time, we handle the technical translation, architecture decisions, and implementation. Our discovery call is designed to bridge that gap in 30 minutes.
Our stack is modern but not flashy, React, Next.js, and TypeScript on the frontend; Supabase, PostgreSQL, and AWS on the backend; GPT-4o and Gemini for the AI layer; n8n and Make.com for automations; Stripe for payments. We pick tools that fit the project, not whatever's getting hype right now.
Yes, fully. You get the complete source code, proper documentation, and a clean handover. No lock-in, no proprietary black boxes, and no reason to keep coming back to us just to keep the lights on. Your team, or any competent developer, can maintain and extend what we build.
We’ll tell you. We’ve turned down projects where automation would create more complexity than it solves. The discovery call is free and takes 30 minutes, even if the answer is “not yet,” you’ll walk away with a clearer picture of what’s possible and when it makes sense to revisit.
Book a free discovery call. It’s a 30-minute conversation where you walk us through the problem and we give you an honest assessment. If there’s a fit, we’ll send a scoping proposal within a few business days, scope, timeline, and cost. No obligation either way.
Book a quick 20 minute call with our CEO Muneeb and we'll figure out exactly where we can help.
Empowering businesses with innovative solutions. Let’s create something amazing together.
