We build applications that do the work.
Our ready-made SaaS products adopted right away — or a custom application from scratch: an internal tool, a client portal or an entire product. Built at AI speed, finished with a marketer’s eye.
// 01 — ready-made or custom
Two paths to the same outcome.
A ready-made product when it’s enough, custom when it isn’t — same team, same stack, same quality. In both, AI is the core of the product, not an add-on.
Ready-made SaaS: products we’ve built where the AI core, interface and infrastructure are already in production — you adopt the solution without months of development work, as-is or customized for your brand. For marketing agencies this means white-label: you offer the product under your own name, we operate behind the scenes.
Custom application: when nothing ready-made fits your need, we build from scratch — modern web applications, internal tools and automations, MCP integrations into your own systems, AI-powered dashboards or single features into an existing product.
How we build
AI agents (Claude Code, agent architectures) do the repetitive work — which is why even custom builds ship 3-5× faster than traditional development. Code is cross-checked with multiple AI tools and human-reviewed before production. The stack is always modern and typed: TypeScript, Next.js, Postgres.
The best proof is our own daily work: a PM agent, a marketing bot, a publishing platform and a management dashboard are all in daily production use. We sell what we use ourselves — and the result is finished with a marketer’s eye: not just working, but selling.
- 01.
A ready-made product when it’s enough, custom when it isn’t — same team, same quality.
- 02.
AI agents as part of the build → applications ship 3-5× faster than traditional development.
- 03.
Our own tools are in daily production use. We sell what we use ourselves.
// 03 — benefits
Why build with NOX?
Six concrete reasons — they apply to ready-made products and custom builds alike.
- 01.
Ready foundation → faster to the finish line
When a ready-made product fits your need, you don’t pay for building from scratch. The AI core, interface and infrastructure are in production — adoption in weeks, not months.
- 02.
Custom when the need demands it
Anything from a blank slate: internal tools, client portals, entire products. AI agents do the routine work — custom without the custom price tag.
- 03.
MCP integrations into your systems
We connect your own databases and APIs to AI with the MCP protocol. Internal processes get an AI layer without data leaving the house.
- 04.
Works AND sells
Most devs leave the product technically working but rough. We finish with a marketer’s eye — user experience and visual craft included from day one.
- 05.
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.
- 06.
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.
From demo to production.
Demo & scoping
We show live demos of solutions in production and go through your needs: ready-made product, customization or a custom build.
Pilot
A narrow but working version with your real data. You see the outcome before committing big — direction is set by proof, not slides.
To production
Iterative development with weekly demos, production rollout, data import and team onboarding.
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 same model repeats across our other tools: a project-management agent, a management dashboard and a publishing platform (which this very site runs on) are all in daily production use. 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.
// 05b — from production
Views from tools we’ve built
// 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, customization or a custom build) + a monthly fee covering usage, hosting, AI costs and continuous updates. Larger new features are priced as separate projects. The exact price comes out of scoping — we give a binding estimate before starting, no surprises after that. The demo and scoping cost nothing.
Ready-made or custom — which one for me?
If a ready-made product of ours fits your need, we recommend it: the fastest and most affordable path, and you can customize it for your brand (white-label for agencies — you offer the product under your own name, we operate behind the scenes). If your need is unique, we build custom from scratch — unlimited but a bigger investment. We’ll see which path is yours in the demo.
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-built application reliable and safe?
Yes, when the process is right. We use several AI tools in parallel — Claude Code builds, and Codex/GPT-based agents cross-check the code’s correctness, security and architecture. A human developer reviews everything before production, and automated testing + CI are configured per project.
On company data: project data is not used to train AI models (the standard API term of Anthropic and OpenAI). For demanding projects we separately agree on Zero Data Retention and EU-based processing endpoints, and a GDPR mapping is done at the start of the project.
Which technologies and AI models do you use?
Frontend: TypeScript + React + Next.js + Tailwind. Backend: TypeScript Node.js, Python or Go when needed. Databases: Postgres and Redis. For AI models mainly Anthropic’s Claude and OpenAI’s GPT; when needed and agreed, open-source models (Llama, Mistral) run in the EU or locally. Stack and model are chosen by use case and cost, not by brand.
See what an application could do with your work.
Tell us what you need — we’ll show live demos of solutions in production and suggest whether a ready-made product, customization or a custom build fits best.
./book_a_demoor email → mika@noxvisual.fi