AI product development. Anything, from idea to production.
A fully custom AI solution from scratch — a single feature, an internal tool or an entire product. Built at AI speed, finished with a marketer’s eye.
// 01 — what is ai product development
What does AI product development mean?
A custom solution from a blank slate — we build exactly what you need, with AI agents as part of the delivery.
AI product development is the service we use to build anything — starting from a blank slate, not a finished product. If you have an idea, a need or a problem that no off-the-shelf solution can bend to, this is the right path.
The difference to our AI SaaS service: SaaS starts from a finished product (fast, affordable), product development from scratch (unlimited, built exactly for your need). We use AI agents (Claude Code, agent architectures) as part of the delivery — which is why even custom work ships 3–5× faster than traditional development.
What gets built this way
Modern web applications and products, internal tools and automations, MCP integrations connecting AI to your company’s own systems, AI-powered dashboards, and individual features for an existing product. In practice, anything that can be coded — accelerated by AI.
The stack is always modern and typed (TypeScript, Postgres, Vercel), and the result is finished with a marketer’s eye: not just technically functional, but good-looking and selling.
- 01.
From a blank slate, anything — not limited to a finished product.
- 02.
AI agents as part of the delivery → custom work ships 3–5× faster.
- 03.
Doesn’t just work — also looks good and sells. With a marketer’s eye.
// 03 — benefits
Why build with NOX?
Six reasons why custom AI product development with NOX beats a traditional software house.
- 01.
3–5× faster build
AI agents (Claude Code) handle the routine work — boilerplate, tests, refactoring. Time goes to architecture and what sets you apart. Custom work without the custom price tag.
- 02.
Works AND sells
Most devs leave a product technically functional but rough. We finish with a marketer’s eye — user experience and visual quality built in, not bolted on.
- 03.
MCP integrations
We connect your company’s own databases and APIs to AI with the MCP protocol. Internal processes get an AI layer without data leaving the house.
- 04.
A typed, modern stack
TypeScript end-to-end, Next.js, Postgres — a modern, widely supported stack that isn’t going obsolete any time soon, with runtime bugs kept to a minimum.
- 05.
A partner, not a one-off handover
Setup as a one-time fee, then a monthly fee covering maintenance and continuous updates. Larger new features as separate projects. The product grows with you.
- 06.
No lock-in
You own your code and your data, the stack is standard and you get the documentation. The ongoing partnership is a choice — you’re never trapped, but never alone either.
AI product development in four phases.
Discovery
What we’re building + why + on which stack. Needs, data model, integration points, a rough concept.
Architecture
Stack selection, repo structure, agent configuration, a prototype. The foundation to build on.
Build
Iterative development with weekly demos. AI does the repetitive work; we steer the architecture and the finish.
Production + partnership
Production rollout, maintenance and updates on a monthly fee. Big new features as separate projects.
// 05 — example
Example: this publishing platform
Ajaton Studio — the platform this site runs on — was built fully AI-accelerated. On a Next.js 16 + Payload CMS + Postgres stack, code built with Claude Code and cross-checked by Codex agents.
The result is a multi-tenant publishing platform: a shared component bank, role-based content management and client-specific brands on a single codebase — every client with their own look. The very page you’re looking at is its output.
High-grade, production-ready and built with care — the same quality is available for your project.
// 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 (building to production) + a monthly fee covering maintenance and continuous updates. Larger new features are priced as separate projects. Custom work is priced by project scope — we give an exact estimate after the strategy call, and after that, no surprises. Discovery + assessment with no commitment: €0.
How is this different from your AI SaaS service?
AI SaaS starts from our finished product (e.g. MarketingBot) which you adopt or customize — fast and affordable. AI product development starts from scratch and builds exactly for your need — unlimited, but a bigger investment. If a finished product bends to your need, we’ll recommend it; if not, we build custom.
Will I be locked in to NOX?
No. You own your code and your data, the stack is standard (TypeScript + Next.js + Postgres) and you get the documentation. The ongoing partnership (monthly fee + updates) is what most clients want — but you can also continue on your own or with another developer at any time.
Is AI-written code reliable?
Yes, when the process is right. We use several AI tools side by side — Claude Code builds, and Codex/GPT-based agents cross-check the code for correctness, security and architecture. A human developer reviews everything before it ships to production. Automated testing, CI checks and eval suites are configured per project for the critical paths. AI is a tool, not a substitute.
Which languages and frameworks?
Frontend: TypeScript + React + Next.js + Tailwind + shadcn/ui (default). Vue + Svelte when needed. Backend: TypeScript Node.js (Hono, Fastify), Python (FastAPI, Django), Go. DB: Postgres (Neon, Supabase) and Redis. Mobile: React Native + Expo. The stack is chosen per project — the policy is always modern and typed.
Have something one-of-a-kind in mind?
Tell us what you want to build — we’ll come back with a 30-minute call, an approach and a pricing model.
./book_a_callor email → mika@noxvisual.fi