Your AI MVP, built and deployed while the US sleeps.
Senior engineers, AI-augmented. Not AI-washed. We build production MVPs for US startups and scale-ups, with full code ownership, IP transfer, and NDAs from day one. From contract to first commit in 5 business days.
1-3 weeks
Typical MVP delivery
$15k-$45k
MVP Sprint pricing
5 days
Contract to first commit
Trusted by teams at EY, Booking.com, Accenture, DeloitteAI MVP Development in United States
The US startup ecosystem moves on speed. The difference between raising your seed round and missing the window is often a working product versus a slide deck. But hiring a senior full-stack team in the US to build an MVP means burning $80,000 to $150,000 before you have a single user, and waiting 8 to 12 weeks for something deployable.
We work differently. Our team is based in Mohali, India, with clients across the United States, Australia, and the UAE. We build AI-powered MVPs at a fraction of US agency rates, without the quality trade-off. Every engineer on your project is a senior developer with 5 or more years of production experience. AI tools accelerate our workflow, but a human engineer reviews every line of code, every architecture decision, every deployment.
US founders choose us because the math works. You get a production-grade MVP, a clean codebase you own entirely, and a deployment pipeline ready for your first 10,000 users. We have shipped MVPs for Series A startups that went live and onboarded paying customers within the same week. The typical US agency timeline for the same scope is 6 to 10 weeks. Ours is 1 to 3 weeks, depending on complexity. The code is yours, the IP is yours, and the NDA is signed before any work begins.
Why Thinkscoop
Senior engineers with 5+ years production experience on every project. AI-augmented, not AI-washed.
Your team ships while you sleep. Overlap mornings ET, async handoffs for the rest. 14-16 productive hours per day.
Full code ownership, IP transfer, and NDA from day one. Your codebase, your repository, no lock-in.
Time zone advantage
How the time zone works for United States
India (IST)
United States (local)
4-8hr
Daily overlap
14-16hr
Productive hours/day
100%
Async handoff documented
Our team operates from IST (UTC+5:30), which creates a natural async rhythm with US time zones that most clients come to prefer over co-located teams.
For Eastern Time clients, we overlap from 8:00 AM to 12:00 PM ET daily. That gives you four hours of live collaboration for standups, code reviews, and decision-making. The rest of our workday runs while your team is offline, which means you wake up to completed work, pull requests ready for review, and a detailed async handoff in Slack or your project channel.
For Pacific Time clients, the overlap window shifts to 5:00 AM to 9:00 AM PT, which works well for early-morning founders who want a standup before their US day begins. Most of our PT clients settle into a rhythm where they review overnight progress first thing, leave comments and priorities, and find those addressed by the next morning.
This is not a workaround. It is a structural advantage. Your product moves forward on two shifts, not one. A US-only team gives you 8 productive hours per day. Our model gives you closer to 14 to 16. Every client we have worked with for more than 30 days has told us the same thing: they stopped seeing the time zone as a gap and started seeing it as their shipping advantage. We document everything in writing, record every architectural decision, and keep a running changelog so no context is lost between overlap windows.
Morning overlap
Real-time standup, code reviews, and decisions during your morning hours.
Async build
Our team builds features and resolves tasks during your evening and overnight.
Wake up to progress
Pull requests ready for review, completed features deployed to staging, detailed Slack handoff.
Proof it works
Relevant work for United States clients
FAQ
Common questions from United States clients
How fast can you actually ship an MVP for a US-based startup?
It depends on scope, but our fastest delivery was a production-ready SaaS platform in 24 hours. Typical AI-powered MVPs take 1 to 3 weeks from signed contract to deployed product. We start with a 2-hour scoping session to lock the feature set, then move to daily async updates with live overlap each morning ET. You will have a working product URL, not a prototype, at the end.
What does pricing look like compared to a US development agency?
Our rates are 50 to 65 percent lower than comparable US agencies for the same seniority level. All pricing is in USD. A typical AI MVP engagement runs $15,000 to $45,000 depending on complexity, versus $60,000 to $150,000 from a US-based team. We scope fixed-price where possible, so there are no surprises. You get a detailed SOW before any work begins.
Who owns the code and intellectual property?
You do. 100 percent. Code ownership, IP transfer, NDAs, and security review are built into every engagement. We sign your NDA or ours before project kickoff. All source code is committed to your repository from day one. When the project ends, there is nothing on our side. The codebase, infrastructure access, and documentation are entirely yours.
How do you handle communication across time zones?
We overlap 8:00 AM to 12:00 PM ET for live calls and real-time Slack. Outside that window, we work async with detailed written updates, Loom recordings for anything visual, and a running decision log. Most US clients tell us they get more visibility into progress with us than they did with co-located teams, because everything is documented by default.
Can you continue working on the product after the MVP ships?
Yes. About 70 percent of our MVP clients continue into ongoing development. We offer monthly retainers for continued iteration, or you can bring development in-house using the clean codebase and documentation we hand over. Either way, the architecture is built to be maintainable by any competent engineering team.
Ready to start building?
From contract to first commit in 5 business days. Schedule a discovery call or email us directly.
