Service · Aarohii AI Solution Private Limited
AI SaaS development
AI SaaS development means a multi-tenant product where the AI feature is in the loop operators pay for—not a marketing chatbot on a static site.
How Aarohii is different
We already operate SaaS: PixellPeep (UI testing), Captverse (AI business OS), and ViraQueue (AI social media manager); Auvora (VMS) is available by demo. Custom SaaS work is accepted when the problem looks like that kind of product, not a one-week prototype.
Running our own products changes which questions we ask first. Tenancy, billing edges, support load, and the cost of a feature at a thousand users are not abstractions when you have paid for them. Most of the expensive surprises in an AI SaaS build are not model problems.
Typical shape
An honest MVP in the 8–12 week range when scope is written down. Architecture, data model, auth, and evaluation land in v1 — not "we will add tests later," which in practice means never, and then a rewrite.
Written-down scope is doing real work in that sentence. The 8–12 weeks assumes decisions are made when they are asked, one person can approve, and the feature list does not grow during the build. When those do not hold, the honest number is larger and we say so before starting.
See also AI for SaaS and what drives cost and time.
What lands in v1
- Tenancy and auth decided properly, because retrofitting isolation is a rewrite rather than a refactor.
- The data model, including what you will need to report on later.
- The AI feature in the paid loop, with sources shown and a human gate where actions are irreversible.
- Evaluation hooks so quality is measurable before the first customer finds a problem.
- Cost per tenant visible from the first week, since AI features have a marginal cost that ordinary SaaS features do not.
Commercial models
Model A is the usual arrangement: your product, our execution, fees. Model B is a limited design-partner path — lower upfront, commission-aligned — and it is limited because it only makes sense when we believe in the distribution as much as the build. Which one applies is discussed on the fit call, not negotiated by email over three weeks.
What we will not do
We do not take on a one-week prototype dressed as a platform, we do not defer auth and tenancy to v2, and we do not add an AI feature to a product that has no paying loop for it to sit in. In that last case the honest first step is build vs buy, not a build.
How an engagement runs
- 20-minute fit call — we say yes or no.
- Written plan — scope, success tests, and what we will not do.
- Build with evaluation hooks and weekly demos you can inspect.
- Support after launch — we stay for the messy month, not just demo day.
Open the proof without an NDA: PixellPeep, Captverse, Auvora, ViraQueue. Buying notes: what drives cost · how to choose a company.
Questions
Do you take equity or commission instead of fees?
Model B is a limited design-partner path: lower upfront, commission-aligned. Most work is Model A: your product, our execution. Discussed on the fit call.
Is 8 to 12 weeks realistic for an AI SaaS MVP?
Yes, when scope is written down and decisions are made when asked. It is not realistic when the feature list grows during the build, and we will say so rather than quietly missing the date.
Who owns the code and the data?
You do, under Model A. Handover includes the eval set, so quality checks are not a dependency on us.
Can you take over an existing codebase?
Sometimes. We read it first and give an honest view; inheriting a codebase without that step is how both sides end up disappointed.
If the problem maps to work we actually ship, we will say so in 20 minutes.
Request a fit call