Prove the product before you fund the platform
Winmill builds minimum viable products (MVPs) that put real software in front of real users fast, on the same production-grade architecture the full product will run on. Our fastest went from nothing to launch in 12 weeks, AI models included.
- Enterprise software since 1994
- Microsoft Cloud Solution Provider
- CISSP and CISA certified security leadership
- Fortune 500 clients across North America
The expensive mistake is building features nobody wants
An MVP is a learning tool. Launch with the core capability first, instrument it with analytics, and let actual user behavior decide what gets built next. You establish presence, start relationships, and begin learning while a big-bang build would still be in planning.
The discipline matters as much as the speed: some hypotheses prove right, others need adjusting, and every development dollar follows evidence instead of speculation.
A prototype that becomes the product
The usual MVP trap is a demo that has to be rebuilt the moment it succeeds. We build on production-grade architecture from day one, in your own cloud environment, so validating fast and scaling later are the same codebase. When your user base grows, the infrastructure grows with it instead of getting rewritten.
Three situations where an MVP wins
Founders with a deadline
You have the vision and maybe an early prototype, but no team to ship it. We built Partner Utopia’s AI platform MVP in 12 weeks for exactly this situation, and it launched as a real company.
SaaS teams testing a feature
Release an MVP version to a subset of customers before committing major development. Validate demand, surface usability issues, and keep the roadmap pointed at what customers actually use.
Enterprises proving value first
When modernizing legacy systems, an MVP proves value incrementally and builds stakeholder confidence before an organization-wide rollout, instead of asking for faith up front.
MVPs and fast builds you can read
Building an AI-powered partnership platform MVP in 12 weeks
Launched on the 12-week timeline and runs today as Paai, a commercial AI partner intelligence platform.
Read the storyBuilding Scholati’s EdTech platform on Azure
A prototype became a production-ready Azure platform with AI study tools and Stripe billing built in from launch.
Read the storyAccelerating mobile app development for EdTech leader Study.com
A complete front-end replacement shipped in six months for 30 million monthly users, and worked from day one.
Read the storyFrequently asked questions
How fast can you build an MVP?
It depends on scope, and we set dates at kickoff rather than promising a number in a headline. For calibration: our fastest engagement took Partner Utopia from no product to a launched AI platform, with trained models and a polished interface, in 12 weeks.
What does an MVP engagement cost?
MVP builds are scoped fixed price, with a stated not to exceed ceiling and conditional dated milestones in the written proposal. You’ll have the number before you commit to anything.
Will we have to rebuild it later?
No. The MVP runs on production-grade architecture in your own cloud environment, so scaling is a continuation, not a rewrite. That’s the difference between an MVP and a demo.
Can you work from our existing prototype or codebase?
Yes. Scholati came to us with an internal prototype that needed hardening and a feature set to reach launch. We adapt to what exists rather than starting over for our own convenience.
Put a working product in front of real users
Book a 30-minute architecture walkthrough with Eddie Hudson. Bring the idea; leave with a scoped next step and a straight answer on feasibility.