AI-native, not AI-added
There is a real difference between a product with an AI feature bolted on and a product engineered on an AI foundation. Every product we ship is built AI-native from the first commit, evaluation pipelines, accuracy budgets, and cost-per-request discipline are first-class concerns, not afterthoughts. ZerocodeAI turns plain English into production iOS and Android apps; Mentzi generates original teaching content; each falls apart without its AI core. That is what AI-native means.
For a US startup, that translates to a partner who has actually shipped AI products, not a shop learning on your budget.
AI Development Company · US/ 02
Built for US founders, without the US burn rate
We are remote-first and work across US time zones, invoice in USD, and communicate like a co-founder, not a vendor. Because the studio is based in Mumbai, you get a senior, design-led product team and favorable economics at the same time, premium output without a coastal-agency price tag.
Engagements are fixed-scope and fast: a focused AI Sprint delivers one production-ready product or feature in 3–4 weeks from $6,000, and larger builds run 8–16 weeks. You get complete source code and honest documentation.
AI Development Company · US/ 03
A track record, not a pitch deck
Five AI products reached the market in under two years, each one cheaper and faster to build than the last, because a venture studio compounds. That cadence is the reason we can quote 8–16 weeks with a straight face: it is the observed reality across our own launches, not a sales promise.
FAQ/ 03
Fair questions.
Yes. The studio is remote-first with real overlap on US working hours, invoices in USD, and has shipped five of its own AI products. You are hiring a proven builder, not a first attempt.
A focused AI Sprint starts at $6,000 fixed-fee for one production-ready product or feature. Larger builds are scoped after a short validation sprint, always fixed scope, never open-ended billing.
Whatever fits the problem and the unit economics, frontier model APIs where quality demands it, smaller or self-hosted models where cost or privacy does. We are opinionated about outcomes, not vendors.