Launch your MVP in 4 weeks.

Yes, for the right scope. A 4-week MVP is realistic when the product is focused on core validation rather than full-scale feature depth. The timeline depends on complexity, integrations, and decision speed.

An MVP engagement typically focuses on the most important product flows needed to test the market, attract early users, or validate investor interest. The exact scope is shaped around speed and learning.

We prioritize features based on validation value, user importance, launch readiness, and business goals. The aim is to avoid overbuilding and focus on what helps prove traction fastest.

No. This can work for non-technical founders, early-stage startups, and product teams that need help turning an idea into a buildable and launch-ready product path.

Post-launch work usually includes iteration, user feedback analysis, performance improvements, roadmap planning, and scaling the product based on real market response.

Startup MVP velocity development is building a minimum viable product as fast as possible without sacrificing quality needed for investor demos or user validation. Ailoitte uses AI Velocity Pods - senior engineers with agentic QA workflows - to deliver production-ready MVPs 68 percent faster than traditional agencies. Over 500 products delivered across 22 countries. Most MVPs ship in 10 to 14 weeks.

A focused single-workflow MVP - authentication, core use-case flow, API integrations, push notifications - takes 10 to 14 weeks from kickoff to production. AI-feature or regulated-environment MVPs take 14 to 20 weeks. Working features are demoed at the end of each two-week sprint. Fixed-price estimate provided within 48 hours. Book at ailoitte.com/contact-us.

Three founder types: pre-seed and seed teams with validated ideas but no in-house engineering; venture-backed teams adding an AI feature for a board or fundraising deadline; and enterprise innovation teams with internal startup launch timelines. Teams still in discovery phase should start with Ailoitte's AI Strategy Workshop at ailoitte.com/ai-strategic-discovery.

Ailoitte uses fixed-price outcome-based delivery. A focused MVP with four to six core features ranges from $15,000 to $45,000. Complex MVPs with custom AI or regulated compliance range from $40,000 to $90,000. Detailed fixed-price proposal within 48 hours of a one-hour scoping session. Book at ailoitte.com/contact-us - no cost or commitment required.