Question 1

What does an AI SaaS development agency do?

Accepted Answer

An AI SaaS development agency designs, builds, and ships software-as-a-service products that have artificial intelligence at their core. Aelvora handles the full stack — product strategy, UX, multi-tenant architecture, LLM and RAG integration, billing, deployment, and ongoing iteration — so founders get a production-grade AI SaaS without assembling an in-house team.

Question 2

How much does it cost to build an AI SaaS product?

Accepted Answer

Our productized engagement — an AI product MVP delivered in 21 days — is a single fixed price, published in full on the offer page along with exactly what is and isn't included. Larger custom builds are scoped separately and typically land between $15,000 and $60,000 depending on surface area. Every engagement is fixed-price, so there are no surprise invoices.

Question 3

How long does it take to build an MVP?

Accepted Answer

21 days for the productized AI product MVP: scope on days 1–3, a clickable prototype by day 7, build with a working demo every three days from day 8, and production deploy between days 19 and 21. Larger custom platforms take longer and are scoped individually, but the same rhythm applies — you see something working every few days rather than waiting for a reveal at the end.

Question 4

Which AI models and technologies do you use?

Accepted Answer

We integrate leading large language models (including Claude and GPT-class models), build retrieval-augmented generation (RAG) pipelines with vector search, fine-tune custom models when needed, and ship real-time inference systems. Our default stack is Next.js, TypeScript, Supabase, and Vercel, with OpenAI and LangChain for the AI layer.

Question 5

Do you work with non-technical founders?

Accepted Answer

Yes. Most of our clients are non-technical founders. We translate your vision into a clear technical brief you sign off on in the first three days, handle every engineering decision after that, and keep you involved with a working demo every three days in plain language — no jargon required. You do not need to know what a vector database is to get one.

Question 6

Do you provide support after launch?

Accepted Answer

Yes. Every engagement includes 30 days of post-launch support and monitoring after handover, and we can continue as a long-term product partner as you scale.

Question 7

What happens if 21 days isn't enough?

Accepted Answer

You don't pay more. The price is fixed to the scope we agreed in the first three days, not to the calendar, so an overrun is our cost to absorb — which is precisely why we scope hard up front and why the exclusions on the offer page are stated so bluntly. If you change the scope mid-build we'll tell you what it costs before anything is built, and you decide.

Question 8

Who owns the code?

Accepted Answer

You do, completely and from day one. We build in your repository under your account, not ours. There is no license, no hosting lock-in, no proprietary framework you can only maintain through us, and no clause that makes leaving expensive. On handover you get the source, the infrastructure, and the deployment pipeline. Any developer can pick it up — that is the point.

Question 9

How do we work together across timezones?

Accepted Answer

Async by default. You get a working demo every three days rather than a status meeting, so progress is something you look at rather than something you're told about. We commit to a written overlap window — specific hours, agreed before the project starts — when we're reachable live for decisions that genuinely need a conversation. Everything else happens in writing, which also means every decision has a record.

Question 10

What happens on day 22?

Accepted Answer

Your product is deployed on your domain, the code is in your repository, analytics are running, and the 30-day support window has started — so day 22 is a normal day in which you're live and gathering real usage. In that window we fix anything broken and answer questions from whoever picks up the codebase. After it, most clients either move to a retainer for ongoing feature work or take it in-house; both are fine, and neither requires anything from us to unlock.

We build your AI product's first working version in 21 days.

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AI Product MVP

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