Service : build
SaaS where the AI is the engine.
AI SaaS development builds and operates subscription software where AI is the engine: multi-tenant products with billing, usage metering, admin tooling and AI quality operations. Novistu develops AI SaaS end to end and runs the practices (evals, cost control, monitoring) that keep subscription software profitable as it scales.
The mechanism
Multi-tenant products with billing, metering, admin and AI quality operations built in.
- App
- Billing
- AI pipeline
- Evals
- Ops
The problem
What this fixes
AI costs can eat the margin
Every feature call has a unit cost. Products without metering, caching and model routing discover at scale that growth loses money.
Quality drifts silently
Models get updated, prompts drift, user mix changes. Without evaluation in production, quality decays until churn explains it for you.
SaaS is more than the app
Billing, plans, usage limits, admin, onboarding, dunning, audit logs: the subscription machine is half the product and often unbudgeted.
How we build it
Principles before code.
01
Architecture for tenancy from day one
Data isolation, per-tenant configuration and permissioning designed before launch, because retrofitting multi-tenancy is a project in itself.
02
Meter everything
Usage metering per tenant and per feature, tied to Stripe, drives plans, limits and margin dashboards.
03
Operate the AI like production
Evaluation suites run on every prompt or model change, quality and cost dashboards are internal features, and incidents have runbooks.
04
Build the growth surfaces
Onboarding, activation triggers, SEO-ready marketing pages and billing self-service, because distribution is part of engineering scope.
Delivery
From first call to running system.
- 01
Architect
Domain model, tenancy, billing and AI pipeline designed up front.
1 to 2 weeks - 02
Build
Core product and subscription machine in weekly increments.
6 to 12 weeks - 03
Beta
Design partners onboarded; quality, cost and activation tuned on real accounts.
4 weeks - 04
Scale
Public launch, then performance, reliability and roadmap cycles.
Ongoing
What you get
- Multi-tenant SaaS application in production
- Stripe billing: plans, metering, trials, dunning
- Admin and support tooling
- AI pipeline with evaluation, monitoring and cost controls
- Analytics: activation, retention, usage, margin per tenant
- Scaling plan: infrastructure, model strategy, team handover
Questions
Asked before every build.
Yes. We audit the codebase, stabilise what is fragile, then work the roadmap. Rescue work rewards the same discipline as greenfield builds: understand first, change second.
Metering per feature, caching, cheaper-model routing for easy tasks and plan limits that make heavy users profitable. Margin per tenant is a dashboard we build, not a guess.
Regularly. We embed with your engineers, follow your process and leave documentation and pairing behind, so the capability stays when we step back.
We build to those control standards (access logging, audit trails, separation of duties) and can work alongside your compliance process. Certification itself goes through an auditor; we prepare the engineering ground for it.
Tell us what is eating your team's hours.
A short brief, answered within one working day. The first call is free, and if AI is not the right answer, we will say so on that call.
First call free : honest about fit : no obligation