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Let's build something
worth shipping.
Every project starts with a conversation. Send us a short brief — problem, rough scope, timeline — and we'll reply within 24 hours.
12 — LET'S BUILD
Have a product to ship?
Tell us what you're building and we'll respond within 24 hours with a clear path forward.
11 — FAQ
Common questions.
Something else on your mind? Drop it in the contact form and we'll get back within 24 hours.
For well-scoped projects, three weeks is realistic. That means a working, deployed product — not a prototype. If the scope is larger, we'll tell you upfront and give you a real timeline.
Yes. Most of our clients aren't technical. We handle the architecture, engineering decisions, and deployment — you stay focused on the product and the customer.
Always. You own 100% of the code, the repository, and all IP. We don't hold anything back after handoff.
Both. Whether you're starting from scratch or adding AI features to an existing product, we're comfortable jumping into established codebases.
We offer post-launch retainers for teams that want continued engineering support. We can also do a clean handoff if your internal team is ready to own it.
We're based in Lahore, Pakistan, and work with clients globally. Most communication happens over async channels with scheduled calls as needed.
A production-grade AI agent typically costs between $15,000 and $50,000, depending on the number of integrations, workflow complexity, and knowledge base size. Ongoing costs include LLM API usage ($200–$2,000/month) and hosting.
With our focused sprint process, a production-ready SaaS MVP is typically delivered in 3 weeks. This includes authentication, the core product loop, Stripe payments, and production deployment on Vercel.
Yes — this is one of the most common things we do. We audit the codebase, fix security issues like missing Row-Level Security (RLS) and exposed API keys, optimize query performance, and add automated testing. Most vibe-coded apps can be stabilized in 2–3 weeks.
Probably not without work. Vibe-coded apps typically lack database indexes, have no caching layer, and hit API rate limits under load. We benchmark your stack, add indexes, implement Redis caching where needed, and set up proper error monitoring — so your launch doesn't become a crisis.
Investors and technical co-founder candidates do due diligence on architecture. Common red flags include no test coverage, hardcoded secrets, disabled database security rules, and no deployment pipeline. We help founders clean up these issues and prepare a clean architecture diagram that shows professionalism and scalability.
Absolutely. We sign NDAs before any code review or project discussions. Your idea and codebase are completely confidential.