AI-native, not AI-added
There's a difference between a product with an AI feature bolted on and a product engineered on an AI foundation. Mentzi generates original lesson content in the teacher's language. Thokpe posts every sale and purchase as double-entry accounting, live. ZerocodeAI turns plain English into production mobile apps. In each case, remove the AI layer and there is no product left, that's what AI-native means.
Building this way changes the engineering: evaluation pipelines, accuracy budgets, vernacular model behavior, and cost-per-request discipline are first-class concerns, not afterthoughts.
AI App Development · India/ 02
What building with us looks like
Every engagement starts with the problem, not the model. We scope a well-defined product, design it for the user's actual device and language, and ship to production in 8–16 weeks, 3–4 weeks for a single focused AI Sprint. You get complete source code, honest documentation, and a team that has done this for its own products, on its own money.
We work across web and mobile, with vernacular AI as a speciality, original generation in Hindi, Marathi, Gujarati, Tamil, Bengali, and more, not machine translation.
FAQ/ 03
Fair questions.
The ones that fit the problem and the unit economics, frontier APIs where quality demands it, smaller and self-hosted models where cost or privacy does. We're opinionated about outcomes, not vendors.
A focused AI Sprint starts at $6,000 fixed-fee for one production-ready product or feature. Larger builds are scoped after a validation sprint, always fixed scope, never open-ended billing.
It's our speciality. Our products generate original content in 10+ Indian languages, generation in the target language, not translation of English output.