Ready-made AI products. As-is or under your brand.
AI products we’ve built — adopt as a subscription or customized for your own brand. A ready foundation: faster to the finish line, with lower risk.
// 01 — what is ai-saas
What do we mean by AI SaaS?
Ready, productized AI solutions — available two ways: as a subscription as-is, or customized for your brand.
For us, AI SaaS means a finished product, not a project built from scratch. The AI core, the interface and the infrastructure are already built and in production — you get the solution without months of development work.
That’s the decisive difference to custom AI product development: SaaS starts from a ready foundation (which is why it’s faster and lower-risk), product development starts from a blank slate. In both, AI isn’t an add-on — it’s the core of the product.
Two ways to adopt
(1) As-is — you subscribe to a finished NOX product and it’s in production right away. The fastest and most affordable way to get started.
(2) Customized — we fit the same product core to your brand, your look and your needs. For marketing agencies this means white-label: you offer the product under your own name, we operate behind the scenes.
- 01.
A finished product, not a project built from scratch — faster to the finish line, with lower risk.
- 02.
Two paths: adopt as-is, or customize for your brand (white-label).
- 03.
We don’t hand over and disappear — the partnership continues as updates and development.
// 03 — benefits
Why choose a ready-made AI product?
Six concrete reasons why a ready, productized foundation beats a project built from scratch.
- 01.
Ready foundation → faster to the finish line
You don’t pay for building from scratch. The AI core, interface and infrastructure are ready and in production — adoption in weeks, not months.
- 02.
As-is or under your brand
Adopt the product as-is, or customize it for your own brand and needs. The same reliable core, your look.
- 03.
White-label for agencies
Marketing agency: offer an AI product to your clients under your own brand. We build, you invoice — an invisible partner behind the scenes.
- 04.
A partner, not a one-off handover
Setup as a one-time fee, then a monthly fee covering usage, maintenance and continuous updates. The product lives and improves — you’re not left alone.
- 05.
No lock-in
You own your product and your data, and the stack is standard (Next.js + TypeScript + Postgres). You get the documentation — the ongoing partnership is a choice, not an obligation.
- 06.
Costs under control
AI model usage (Claude/GPT/Gemini) is budgeted up front. Caching and lighter models for fast queries → a predictable €/month.
From finished product to production.
Strategy call
We go through your needs and see whether the product fits as-is or customized.
Customization
The product is fitted to your brand and needs. Adopting as-is: this phase is skipped — straight to production.
Deployment
Production rollout, data import, team onboarding. The product is in use.
Partnership
The monthly fee covers usage, maintenance and updates. Larger new features as separate projects.
// 05 — example
Example: MarketingBot
MarketingBot is a marketing SaaS we built: it combines client management, social media strategies, Google Ads optimization and image generation in one tool. AI isn’t an add-on — it drafts the strategies, proposes the campaigns and generates the visuals directly in the client’s brand.
The technical solution: a light frontend + a Cloudflare Worker proxying the Claude API, data in Supabase, hosted on Cloudflare Pages. The architecture is designed to scale from a single-team tool to a multi-tenant SaaS — the same model we use to build solutions for clients.
Live in production: marketingbot.fi. The same AI core fits any web product — customer service, content classification, workflow orchestration. Ask what we’d build for your case.
// security
Is AI-assisted development safe? Yes — here’s how we make sure.
Security and data governance aren’t bolted on afterwards. They’re part of every project from day one.
- 01.
Your data never trains AI models
Project data is not used to train AI models (the standard API terms of Anthropic and OpenAI). For demanding projects we separately agree on Zero Data Retention and EU-based processing endpoints.
- 02.
Keys and secrets stay hidden
API keys and passwords don’t belong in code, the browser or version control — they live in protected server-side environment variables. Our standard practice on every project.
- 03.
Code is cross-checked
Code is reviewed with multiple AI tools (Claude + Codex/GPT) and human-reviewed before production. Automated testing and CI are configured per project.
- 04.
You own your data and your code
In custom projects the code lives in your repo and the data in your EU database — you own both. On the Studio platform your data is logically isolated in your own tenant in an EU cloud, operated by NOX. We always tell you openly how your data is organized.
- 05.
GDPR and sensitive data
We map the data being processed at the start of the project. When needed and agreed, we filter sensitive data before API calls and can use open-source models (Llama, Mistral) run in the EU or locally.
- 06.
Traceable and reversible
Every code change is in version control and can be rolled back. We use a reviewed deploy process where changes are checked before production.
// 06 — questions
Frequently asked questions.
Click a question to see the answer.
What does it cost?
Pricing has two parts: setup as a one-time fee (deployment or customization) + a monthly fee covering usage, hosting, AI costs and continuous updates. Larger new features are priced as separate projects. The exact price depends on whether the product is adopted as-is or customized — we’ll tell you in the strategy call.
What does “as-is or customized” mean?
As-is = you adopt our finished product as it stands — the fastest and most affordable way. Customized = we fit the same product core to your brand, look and needs. For marketing agencies, customization usually means white-label: you offer the product under your own brand, we operate behind the scenes.
Will I be locked in to NOX?
No. You own your product and your data, and we build on a standard stack (Next.js + TypeScript + Postgres) that any experienced developer will recognize. You get the documentation. The ongoing partnership (monthly fee + updates) is what most clients want — but it’s a choice, not an obligation.
Is an AI product safe for company data?
Yes, when designed right. Project data is not used to train AI models — that’s the standard API term of Anthropic and OpenAI. For demanding projects we separately agree on Zero Data Retention and EU-based processing endpoints. The data being processed is mapped for GDPR at the start, and when needed and agreed, sensitive data is filtered before API calls. The code itself is also cross-checked with multiple AI tools (Claude + Codex/GPT) and human-reviewed before production.
Which AI models do you use?
Mainly Anthropic’s Claude (Opus for hard decisions, Sonnet for production, Haiku for fast queries) and OpenAI’s GPT as an alternative. OpenAI for embedding models. When needed and agreed, we can also use open-source models (Llama, Mistral) run in the EU or locally if data sensitivity requires it. The model is chosen by use case and cost, not by brand.
A ready-made AI product for you?
Tell us what you need — we’ll see whether the product fits as-is or customized, and walk you through the pricing model.
./book_a_callor email → mika@noxvisual.fi