AI solutions that actually work

We automate repetitive processes, build chatbots and voice-based customer service, and wire custom AI into your existing systems - for measurable time and cost savings.

Why us

Not technology for its own sake

We only build what brings real, measurable value - integrated into your existing systems, in your own language.

Real integration, not a demo

The AI plugs into your existing systems - webshop, CRM, calendar, email - not a standalone toy nobody ends up using.

Fluent in your language

Chat and voice solutions understand and reply naturally, not with clunky machine translation - because that is how your customers speak.

Measurable return

We clarify up front what we automate and how much time it saves. If an idea does not pay off, we say so - no technology for its own sake.

Where we help

The full AI toolkit, in one place

From website chatbot to voice assistant to process automation - all tailored to your own systems and data.

Website chatbot with your own knowledge base

A chatbot that answers from YOUR documents, product data and FAQ - not generic filler. It builds on your own knowledge base (RAG), cites its source, and hands over to a human when it is unsure.

Custom voice assistant

A naturally speaking voice assistant for phone support, bookings and information. Real-time speech recognition and response, interruptible dialogue, wired into your booking and customer systems.

AI customer support

Unified AI support across channels - web, email, chat, phone. It understands the request, resolves it or opens a ticket, learns from past conversations, and escalates only the hard cases to a human.

Generative task automation

Automated generation of text, images and documents: product descriptions, summaries, email replies, reports. The AI drafts, a human approves - orders of magnitude faster, at consistent quality.

LLM integration & building

Wiring large language models into your own data and workflows: custom prompting, RAG, fine-tuning, agent chains. Where data is sensitive, we work with private or on-premise models.

Process automation

Replacing repetitive, rule-based work: data entry, cross-system sync, notifications, approval chains. The AI decides where judgement is needed; reliable deterministic rules handle the rest.

Try-ready chatbot

Embeddable AI chatbot that learns from your website

You enter your website URL, the system reviews the important content, builds a knowledge base from it, and lets you test the finished chat in the portal right away. If you like it, it can be embedded on your own site with a few lines of code. The bot does not guess from the whole internet: it relies on your own site and uploaded knowledge, while we provide the runtime, portal and operation.

Try the chatbot
Illustration of an AI system that analyzes a website and turns it into an embeddable chatbot
Website chatbot scan · test · embed
Automatic website scan The system extracts the key content, services and common questions.
Testable in the portal The client can test how it answers from its own knowledge before embedding it.
Simple embedding The finished chat widget appears on the existing site with a few lines of code.
In plain terms

What is an LLM system, and how is it built?

An LLM (large language model) is the "language brain" of AI: it understands the question and answers in human language. On its own, though, it only knows generic things - not YOUR company, products or workflows. A working AI system is therefore more than the model: on the app's backend, a backing system connects the model to your data and systems.

An LLM is like a smart but brand-new colleague: it understands language and learns fast, but does not know your company yet. Access to your own data and systems is what the backend gives it - and that is exactly what we build.

We build the whole system: we tune the model to your data and wire it into your backend and interface - not a standalone demo, but a solution that fits your workflows.

The model (LLM) The language "brain" that understands the question and replies in human language. We select and tune it for your task.
Your knowledge base (RAG) The model answers from YOUR documents and product data, not generic filler - and cites the source.
Backend + integration The AI runs on the app's backend, wired into your existing systems (webshop, CRM, calendar).
Guardrails and safety We set the limits: what it may and may not do, when it hands over to a human - so it stays reliable and safe.
Security

The AI does not see your whole system

You need not worry that the AI leaks data it should not, or "sees into" your entire company records. The AI runs in a closed system with its own knowledge base and database - it reaches your systems only through the narrow, purpose-built gate (APIs, tools, microservices) that we explicitly open for it.

Picture the AI sitting in a sealed box: from the outside, through a controlled window, we hand it exactly the data it may work with - it does not even see your other systems, let alone reach them.

It cannot "hack" its way into records it was not granted access to - access is a development decision, not the AI's choice.

Closed, isolated runtime The AI runs in its own separate environment - not inside your company systems.
Only through a controlled API gate It reaches your systems only via built APIs, tools and microservices, allowed point by point.
Its own knowledge base and database The system has a separate, dedicated knowledge base and database - the AI works from that, not your entire data estate.
You decide what it sees At development time we define what it may and may not access - the AI cannot change that.
Which model fits you

Local model or global API?

AI agents - which solve tasks autonomously, in multiple steps, using tools - are built on a language model. That model can come from a global provider (ChatGPT, Claude, Gemini) or run locally, on your own server. We help you decide which fits you.

Data stays with you · full control

Local / private model

An open or private model that runs on your own server or inside the company - the data never leaves the building.

Pros

  • Data stays with you (privacy, GDPR)
  • No usage fees, predictable cost
  • Works offline, on your own infrastructure
  • Full control and customisation

Cons

  • Needs stronger hardware (GPU)
  • May be a bit weaker than the top models
  • Operation is on your side

💡 Often a hybrid wins: sensitive data is processed by a local model, while the smartest global model is called for complex tasks and agents. We select and connect them - provider-independent.

How we start

How shall we start?

First we assess your needs - the quote comes after, based on understanding your project. You can send it without an account; signing in is only optional.

Fastest

Without signing in

Fill in the simple needs form without an account - a few steps and your request is with us.

Pros

  • No registration, fill it in right away
  • Questions tailored to your area
  • We get back to you quickly

Cons

  • We may ask you to sign in later to connect it to an account
  • The quote is sent after human review
I choose this

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