AI that ships.
Not AI that just demos.

Senior, AI-native engineers who put generative AI into production — embedded in your team or as a turnkey build. Swiss standards, without the Swiss price tag. We don't just talk about it: we built Mola, a live SaaS, ourselves.

Built for and trusted by
MaxonBodygeeHirncoachZortify
Three ways to work with us
🧑‍💻
AI-augmented engineers
Senior, AI-native devs embedded in your team
🛠️
Turnkey AI builds
We design, build & ship it end to end
🚀
AI adoption & training
We get your own team shipping with AI
🦷
Proof: we built Mola
A live analytics SaaS, shipped end to end
Is this for you?

You're the right fit if this sounds like your situation.

We work with founders, product owners, and CEOs who can see what AI could do for their business but need a senior partner to get it into production — not another slide deck about "AI strategy".

✓
You've run AI pilots that never made it to production
We specialise in the last mile — taking a promising proof of concept and turning it into something live, reliable, and maintained.
✓
You want AI features in your product but your team is at capacity
We embed AI-native engineers alongside your team, or build the feature end to end — whichever gets it shipped without derailing your roadmap.
✓
You're sitting on a mountain of documents or data no one can use
We build RAG systems and assistants that let your team query internal knowledge in plain language — accurately, with sources.
✓
You have a legacy system that's expensive to change
We use AI agents to migrate and modernise legacy code with functional parity — not a risky big-bang rewrite.
What we build

Generative AI, built to run in production.

We don't chase hype. We build AI systems that are reliable, compliant, and genuinely useful — the kind that survive contact with real users and real data.

🔀

Legacy migration with AI agents

Modernise old, expensive-to-change systems. We use AI agents and custom transpilers to migrate legacy code with functional parity — module by module, not a risky rewrite.

AI agentsTranspilersFunctional parity
💬

Customer-support assistants

AI assistants that handle customer questions across your channels — web, app, email, chat — with accurate, on-brand answers and clean escalation to a human when needed.

AgentsOmnichannelHuman-in-the-loop
✨

GenAI features in your product

Bring generative AI inside your SaaS or app — natural-language interfaces, agentic actions, and smart automation your users interact with directly.

Product AILLM integrationAgentic
📚

RAG over your knowledge

Turn scattered documents, PDFs, and data into a system your team can query in plain language — with accurate, sourced answers, from Slack, Teams, or your own portal.

RAGVector searchMultimodal
🗄️

Ask Your Data

Let your team ask questions of your own databases in plain language and get clear, verifiable answers — no SQL, straight from Slack or Teams. We built exactly this into Mola so clinics can query their numbers directly.

Natural-language queriesDatabasesLive in Mola
🎯

GenAI hyper-personalisation

Tailor content, recommendations, and messaging to each user at scale — onboarding flows, product suggestions, and email or in-app campaigns generated from real user context instead of one-size-fits-all.

PersonalisationRecommendationsContent at scale
How we work

Use case first. Then models.

Most AI projects fail because they start from the technology, not the problem. We start with the business outcome, prove it works small, then engineer it to run reliably in production.

1
Use-case scoping
We start from the outcome and the data you actually have — which problems are worth solving with AI, which aren't, and where the real value is. Honest answers, not hype.
1–2 sessions
2
Proof of concept
A focused PoC on your real data to prove the approach works and is worth scaling — before you commit a big budget. If it won't work, you find out cheaply.
Fast, low-risk
3
Production engineering
The hard part most stop short of: making it reliable, monitored, evaluated, and compliant — on Swiss-hosted, GDPR/nDSG-ready infrastructure. This is where we live.
Built to run
4
Handover or ongoing
Full documentation, clean repos, your code and IP from day one. We can hand off completely, keep improving it, or train your team to own it — your call.
You own everything
What makes us different

Not another AI consultancy.

🚫

We'll tell you when AI is the wrong tool

Plenty of problems don't need a language model. We'd rather talk you out of an AI project that won't pay off than bill you to build it. Honest scoping before budget.

🇨🇭

Swiss standards, without the Swiss price tag

Senior engineers based in Spain, same time zone, Swiss-hosted and GDPR/nDSG-ready infrastructure — at 40–60% below local rates. Quality you can show a regulator.

🚀

We've shipped AI, not just talked about it

We built Mola ourselves — a live SaaS with an analytics and recommendation layer. We know what it takes to get AI past the demo and into daily production use.

"
Partnering with apeirum transformed how we operate. Their analysis provided insights that improved our operations and led to real growth. We now make data-driven decisions with confidence.
FM
Dr. F. Mercadé
Business Owner, Clínica Dental Palacio

Want proof we ship real products? See Mola — a live analytics SaaS we built end to end →

FAQ

Questions before you reach out.

The things founders and product owners usually ask before the first call.

What does an "AI-native" engineer actually mean?
An AI-native engineer uses AI as part of how they build every day — code generation, automated testing, RAG, agents — not as a novelty on the side. In practice one senior AI-native engineer ships what used to take a small team, at production quality. That leverage is what you're paying for.
Can you actually put GenAI into production, or just build demos?
Production is the whole point. We built Mola ourselves — a live analytics SaaS for dental clinics with a recommendation layer and predictive features on the roadmap — end to end, on compliant Swiss-hosted infrastructure. We bring that same "shipped and running" standard to your AI work, not a proof of concept that never leaves the lab.
What kinds of AI projects do you take on?
Common ones: legacy-code migration and modernisation using AI agents, customer-support assistants across your channels, GenAI features embedded directly in your product, and RAG systems that let your team query internal knowledge in natural language. If you're not sure what's realistic, that first scoping conversation is exactly what we're good at.
Do you build AI for us, or help our own team adopt it?
Both. You can hire AI-native engineers embedded in your team, commission a turnkey build we deliver end to end, or bring us in to help your existing team adopt AI — run proofs of concept, set up the tooling, and level up your engineers. Most clients start with one and grow into the others.
How do you handle data protection and IP with AI systems?
Compliance first, the same way we do everything. We build on Swiss-hosted, GDPR/nDSG-ready infrastructure, stay explicit about what data touches which model, and assign all code and IP to you by contract. For regulated, data-sensitive work that's non-negotiable — and it's exactly how we built Mola.
Let's build it

Tell us about your AI project.

Whether it's a vague "we should be using AI" or a stalled pilot — tell us where you are and we'll tell you honestly how we'd approach it.

1
You send this formTakes 2 minutes. No brief required.
2
We call within 24 hoursA direct conversation about your product.
3
You get a clear answerCan we help, how, and what it would cost.
Tell us what's going on
We reply within 24 hours. You'll hear from Anja directly.

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