Sky Team Labs builds and ships a working AI MVP in 4-8 weeks — against a 10-16 week industry average — for a fixed price starting at €2,900. Scoped, built, deployed, and proven on one real use case before you invest further.
Book a free scoping callAn AI MVP (minimum viable product) is the smallest working version of an AI-powered tool that still delivers real, measurable value on one specific use case. It is a deployed product — not a slide deck, not a demo video, and not a proof-of-concept that only works on a curated test set. Real users can use it, and you can measure whether it actually moves the number you built it to move.
The distinction matters because industry research puts the figure at roughly 95% of generative AI pilots stalling before they ever reach production. The usual cause is not the technology — it is scope. Teams try to build for a hypothetical company-wide rollout before they have proven the idea works for even one team, one workflow, one measurable outcome. An AI MVP inverts that: prove one thing works, then decide whether to scale it.
Most agencies quote 10-16 weeks for an AI MVP because they scope for the eventual full product from day one — every edge case, every integration, every "nice to have" — before anything ships. We do the opposite: scope for the one use case that proves the concept, build only what that requires, and ship it. Anything discovered along the way becomes a fast-follow, not a blocker to launch.
This is also why we offer an AI Pilot Sprint as a separate, smaller engagement: for teams that are not yet sure an AI MVP is the right next step, a 2-3 week pilot proves (or disproves) the concept on a narrow slice before committing to the full build.
Every AI MVP includes a working front end, a backend wired to real data, and one or more LLM integrations chosen for the use case — not a default stack. Recent MVP builds have included:
Each MVP is built on the model best suited to the task — OpenAI GPT-4o, Anthropic Claude, Google Gemini, or a smaller open-weight model where cost or data residency requires it. See our custom AI vs. off-the-shelf comparison if you are still deciding between a custom MVP and an existing tool.
Transparent pricing. No hourly rates, no scope creep surprises.
A narrow, working AI pilot that proves one use case in 2-3 weeks — the fastest way to find out whether an idea deserves a full MVP build.
A full working AI MVP — UI, backend, database and LLM integration — scoped, built and deployed in 4-8 weeks.
If you are not sure an MVP is the right next step, our AI consulting discovery engagement maps your options first.
A 4-8 week AI MVP build with Sky Team Labs follows four stages. The exact length depends on how many data sources and integrations the use case touches.
We lock the single use case, define the success metric, and design the technical architecture — which model, what data, what integrations. You get a fixed price and timeline before build starts.
We build the backend, wire up the LLM integration, and build the front end in parallel. You see working increments, not a single reveal at the end.
We test against real inputs, refine prompts and logic against edge cases, and prepare deployment. For larger MVPs this stage runs into week 7-8.
We deploy, document the system, and walk you through it. One month of post-launch support is included to catch anything real usage surfaces.
Sky Team Labs delivers a working AI MVP in 4-8 weeks, versus the 10-16 week industry average. A narrower AI Pilot Sprint — proving one specific use case — can ship in 2-3 weeks. The exact timeline depends on how many integrations and data sources the MVP needs to touch.
An AI MVP (minimum viable product) is the smallest working version of an AI-powered tool that still delivers real value — enough to test with real users, gather feedback, and decide whether to invest further. It is not a slide deck or a demo video; it is a deployed, working product on one specific use case.
Industry research puts the figure at roughly 95% of generative AI pilots stalling before production. The usual causes are scope creep, unclear success criteria, and building for a hypothetical enterprise rollout instead of one proven use case first. We scope every MVP around a single measurable outcome to avoid this trap.
Sky Team Labs' AI MVP Build starts at a fixed €2,900, covering scoping, UI, backend, LLM integration, deployment and one month of post-launch support. A smaller AI Pilot Sprint, for validating a single use case before committing to a full build, starts at €1,400.
You get one month of post-launch support included. After that, most clients move to a flexible support arrangement to fix issues, extend features, or scale the MVP into a fuller product as adoption grows.
Book a free 30-minute scoping call. We will tell you honestly whether a pilot, an MVP, or a discovery engagement is the right next step.
Book a free call