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05 / AI Product & MVP Development

AI MVP development for startups: idea to launched product in 8 to 12 weeks.

From idea to a launched AI product in 8 to 12 weeks, the same way we launched our own products Decornoa, Crodo and TurboType.

8 to 12 weeks · fixed price after a one-week discovery

Fig. 06 / Decornoa, from a room photo to a redesignOUR PRODUCT
INUser uploads a room photo
AIAI detects the room and generates new designs
OUTRedesigns in seconds, paid per image

What we build

What you get: specific deliverables, not a list of capabilities.

01Product definitionThe one job your product does, who pays for it, and the smallest version that proves it, written down before we write any code.
02Design and brandUser flows, screens and a visual identity that make the product feel finished at launch, not like a demo.
03AI model and architecture choiceWhich model, hosted where, at what cost per user, tested on your use case, with a plan for when you outgrow it.
04The app around the AISign-up, payments, onboarding, admin and analytics: the unglamorous parts that turn an AI feature into a product people pay for.
05Launch and first usersApp store or web launch, analytics and feedback loops, and a month of improvements based on what real users do.

AI product development, by a team that ships its own

We have launched six products of our own, from a voice assistant for Mac to an AI interior design tool to a typing trainer for programmers. Each one taught us where AI products really fail: not in the model, but in the cost per user, the onboarding, and the billing page nobody planned for.

An AI MVP with us is a product, not a prototype. It is positioned, designed, built around the model with the boring parts done, and launched to real users within 12 weeks.

How an AI product comes together

Fig. 06 / Decornoa, from a room photo to a redesignOUR PRODUCT
INUser uploads a room photo
AIAI detects the room and generates new designs
OUTRedesigns in seconds, paid per image

Decornoa's hard problems were pricing per image and handling queues of requests, not the model itself. That is typical, and it is why we design the business around the AI before we build the AI.

Our AI MVP development process

  1. Define, week 1. The job, the buyer, the smallest provable version, the model options and their cost per user. A fixed-price plan.
  2. Design, weeks 2 to 3. Flows, screens, identity, and a clickable prototype you can show to first users.
  3. Build, weeks 4 to 10. The product, weekly demos, a test set for the AI parts, and analytics from day one.
  4. Launch, weeks 11 to 12. Store or web launch, feedback loops, and the first round of improvements.

Frequently asked questions

Common questions about AI Product & MVP Development.

What is an AI MVP?

An AI MVP (minimum viable product) is the smallest version of an AI product that real users can try and pay for. It includes the AI feature, the app around it (sign-up, payments, onboarding) and a way to measure whether people come back. It is a product, not a prototype.

How much does AI MVP development cost in India?

What an AI MVP costs depends on the platform, the integrations and how much of the AI is off-the-shelf versus custom. We give a fixed price after a one-week discovery, and we tell you if the idea does not need AI.

How long does it take to build an AI MVP?

8 to 12 weeks from the first call to launch: one week to define it, two to design it, six to build it, and one or two to launch and learn from the first users.

Who owns the code, prompts and models?

You do. Code, prompts, test sets, designs and any models we train are yours on final payment. We do not reuse your product for other clients.

What happens after the MVP launches?

The first month of improvements is part of the build. After that you can keep us on a retainer, hire a dedicated team, or take the codebase and documentation in-house. All three have happened with our own products.

Next step

Tell us what you want to build. We will tell you what it costs and how long it takes.

A free 30-minute call with an engineer, not a salesperson. You leave with a clear plan, a price range and an honest opinion on whether AI is the right tool for the job.