.svg)
You have a product idea that needs AI at its core. You need the first version built, deployed, and in front of users, not in six months, but in weeks. That’s what we do.
Building an MVP is supposed to be fast. AI products break this playbook in a specific way: the core value is in the intelligence layer, and that layer is genuinely hard to get right on the first pass. Most teams hit one of two failure modes.
A founder hires a development team that treats the project like enterprise software. Three months and $80,000 later, there's a beautiful architecture diagram, a complex microservices setup, and no users. The product works but nobody has validated whether anyone actually wants it.
A founder strings together a ChatGPT wrapper with a landing page. It works in the demo but falls apart with real data, real edge cases, and real users who don't phrase their requests the way the demo script assumes. The MVP creates a false signal — it looks like validation but isn't.
A product built properly enough to handle real usage but scoped tightly enough to ship fast. The goal of an MVP isn't to impress anyone. It's to answer a specific question: does this product solve a real problem that people will pay for? Everything in the build should serve that question and nothing else.
Every MVP starts with a testable hypothesis: “If we build X, users will do Y, and we’ll know it works because of Z.” We work with you to define this clearly before anything gets built. This single step prevents the most expensive mistake in product development, building a solution to a problem you haven’t validated.
The most important phase of an MVP isn’t the building, it’s deciding what to leave out. We identify the single core workflow your product needs to nail. Not three features. Not a platform. One flow, end to end, that delivers enough value to get real users engaged and generate real feedback. No admin panels unless they’re critical. No multi-tier pricing. No elaborate onboarding. The question is always: does this feature need to exist for the test to work? If not, it waits.
Everything else goes on a list for version two.
“MVP” doesn’t mean “throwaway code.” We build phase by phase, leading with whatever moves the needle most without taking on unnecessary risk. Nothing moves forward until the current phase is live, tested, and signed off. The difference is scope, not quality. When the MVP validates and you’re ready to scale, we’re extending existing architecture, not rewriting from scratch.
We design the AI layer around your specific problem:
We deploy the MVP to real infrastructure, not a localhost demo. Real URL, real users, real data flowing through. We help you define the metrics that matter before launch: user engagement, conversion, retention, willingness to pay, whatever answers your hypothesis.
After the test, you have clear data to make one of three decisions: scale it into a full product, pivot the approach, or kill the idea early before it gets expensive. Any of those outcomes is a win.
Not a prototype in staging. Live application on a real domain, ready within weeks. Deployed to Vercel, AWS Amplify, or your preferred platform.
TypeScript, proper component structure, documented API routes. Version two extends version one, no rewrites. Your next developer, or us, can pick up where the MVP left off.
Prompts refined through iteration, not guesswork. If you have example data or past cases, we use them to validate the AI layer before launch. If you don't, we design test scenarios based on your target use cases.
Authentication, database, deployment pipeline, environment management, all in place from the start. When you go from 10 users to 1,000, the foundation holds.
After launch, we deliver a prioritised roadmap of what to build next based on the MVP scope, user feedback signals, and the architecture decisions already made. You know exactly what version two looks like and what it costs.
Every project includes full source code ownership, documentation, and handover. No lock-in, no proprietary frameworks, no dependency on us to keep things running. Your team or any competent developer can maintain and extend what we build.
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.
