Can you build AI features into an existing SaaS product?+
Yes. We add the AI layer to the product you already run, such as retrieval over your data or an agent workflow, with an eval set and a fallback for when the model is wrong. We work in your repo and accounts, so your team keeps the code. If the existing app is buckling under load, we harden that first.
What does it cost to build a SaaS with an agency?+
A focused MVP is typically a five-figure engagement over four to six weeks; production hardening and iteration continue from there. We scope after the product call because the honest driver is scope, not hours: the fastest way to lower the price is to cut the MVP to the features that actually test your assumption, and that cut is the first thing we do together.
Why not use a cheaper offshore dev shop or a no-code builder?+
If your product is a standard CRUD app and you mainly need hands on keyboards, a cheaper shop can work. Where we earn the difference is judgment: cutting scope to the real bet, and building AI features that survive production, with evals, fallbacks, and cost controls. Code is cheap to write and expensive to write twice.
Do you only build AI products?+
No, but we default to asking where AI belongs in the product, because that is where new SaaS wins or loses right now. If your product does not need AI, we will not force it in; unnecessary AI adds cost and variance for nothing.
Who owns the code and infrastructure?+
You do, from day one. The repo, the Vercel project, the Supabase instance, and every API key live in your accounts. If we part ways, you lose nothing but us.
What happens after the MVP ships?+
We read the usage data with you and decide the next move from evidence. Some clients take a clean handover with documentation; most keep us on for iteration and maintenance, because the weeks after launch are where the product direction actually gets decided.
Why not hire a large outsourcing shop with hundreds of engineers?+
Scale is genuinely useful once you need to staff ten parallel workstreams. Before that point, it usually means your project is one of many running through a large bench, priced by hours, not by outcome. We are a small team that owns the product bet directly, which is a better fit for the MVP-to-first-traction stage most SaaS founders are actually in.
Is this vertical or micro-SaaS, or general product builds?+
Both. Vertical and micro-SaaS is where a lot of AI-native products are winning right now because a narrow workflow is easier to make genuinely good at one thing, and we build plenty of it. We also build broader horizontal products when that is the right shape for the market you are entering.
How do I choose a SaaS development agency?+
Ask what they would refuse to build, not just what they can build. An agency that says yes to every spec has no mechanism for telling you the MVP is too big or the assumption is untested. Ask to see how they sequence a build, whether they run evals on AI features before launch, and who owns the code and infrastructure when the engagement ends.
What is the difference between this page and your SaaS MVP development service?+
SaaS MVP development is a fixed-price 30-day sprint for a first version: days 1 to 5 scoping, 6 to 20 build, 21 to 25 integrations and security, 26 to 30 QA and go-live. This SaaS development agency service covers the longer road, from MVP through real-user validation, hardening, AI features and ongoing iteration.
How long does it take to build a SaaS product?+
A working MVP typically takes four to six weeks under this service, or 30 days on the fixed-price MVP sprint. Production hardening and iteration continue after that, in the order the usage data supports. The biggest lever on timeline is scope, which is why the first step is cutting the MVP to what tests your riskiest assumption.
What tech stack do you build SaaS on?+
Next.js on Vercel, Supabase for the database and auth, the Claude API for the AI layer, PostHog for product analytics, all in TypeScript. We picked a standard stack on purpose so the budget goes into the product, not into tooling. This site runs on the same stack, and any engineer you hire later will know it.
Can you take over a SaaS codebase another team built?+
Yes. MVP rescues are a regular part of our work. We audit the codebase, stabilize what drops requests or breaks under real usage, and rebuild only where necessary, keeping what already works. The hardening order follows what is most likely to break next, with monitoring added first so the fixes are measurable.
Can you add AI features to our existing SaaS product?+
Yes. RAG over your data, agent workflows or generation inside the product are common builds. Each AI feature ships with an eval set, fallback paths for when the model is wrong, and cost controls so usage growth does not erase your margin. If a feature does not need AI, we say so and build it without.
Who is this SaaS development service not for?+
Founders who have not spoken to a single potential customer, teams that want a fixed 40-page spec built waterfall with no room to learn, and products that are native mobile apps at their core. Our production depth is web SaaS on Next.js. In each of those cases we will point you somewhere better.
