AI development & AI agents built for production

We build custom AI solutions that actually work in practice: AI agents, chatbots, voice agents and RAG systems — built on the best models, integrated with your systems and stable in production from day one.

What we build

AI solutions that deliver — not demos that die

The difference between an AI demo and an AI solution is production. We build solutions that run 24/7, handle real users and can be debugged.

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Custom AI agents

Agents that handle tasks on their own: customer service, leads, booking, reporting. With access to your systems and tools.

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Chatbots & RAG systems

Chatbots that answer based on YOUR knowledge — documents, FAQs, price lists and databases. With a source reference on every answer.

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Voice agents

AI voice agents that answer the phone, book meetings and handle customer service in Danish. Real-time speech-to-text and text-to-speech.

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AI search & knowledge systems

Make your documents and data searchable with AI. Employees get answers in seconds — instead of digging through 40 folders.

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AI data analysis

AI that analyses your data: sales, customers, operations, markets. Find patterns, forecasts and actions — automatically.

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AI integration with your systems

AI connected to your CRM, ERP, accounting, support and webshop — so the agent can read and write in the systems you already use.

How we build AI solutions — technically speaking

AI development is not about slapping an API key onto a chatbot. Our solutions consist of several layers, and each layer is designed to deliver in production:

1. Model choice — the right model for the task

We use OpenAI (GPT series) for general conversation and complex reasoning, Anthropic Claude for long contexts and coding, Google Gemini for multimodal tasks (images, video, documents), DeepSeek and open-source models (Llama, Mistral) when cost or data locality is critical. We can also run models locally on your own server — so data never leaves your infrastructure.

2. RAG — retrieval augmented generation

When an AI needs to answer based on your knowledge, we use RAG: your documents are indexed in a vector database, and when a user asks a question, the system retrieves the relevant documents and gives them to the model as context. The result: precise answers with source references — and no "hallucinations" that can damage your brand.

3. Agent architecture — tools and actions

Modern AI agents can use tools: calendar, CRM, email, databases, webhooks. We build agents with clear roles, access rights and security rules — so the agent can act, but only within the boundaries you set.

4. Voice — real-time speech

Our voice agents use Deepgram for speech-to-text (STT), OpenAI TTS / ElevenLabs for text-to-speech and Telnyx or Twilio for telephony. We built the entire voice platform Agento, so we know every detail: latency, noise reduction, interruptions and failover.

5. Production — monitoring and operations

An AI solution is software. It has to be monitored, logged, debugged and updated. We deploy on your own VPS or in the cloud, set up monitoring (errors, latency, costs) and code, run and keep developing it.

Real example: We built an AI agent for a B2B company that qualifies incoming leads, books meetings directly in the calendar and updates the CRM — all in Danish, 24/7. The company saves 15+ hours a week.
Questions & answers

What companies ask us

An AI agent is a system that can carry out tasks on its own: answering enquiries, booking meetings, qualifying leads, pulling data out of systems and much more. Unlike a simple chatbot, an AI agent can make decisions and act across systems.

The cost depends on complexity: a chatbot with RAG (access to your documents) is cheaper than a voice agent. We always give a fixed price estimate after the first meeting — so you know exactly what you get for your money before we start.

We build on OpenAI (GPT series), Anthropic Claude, Google Gemini, DeepSeek and open-source models such as Llama and Mistral. We choose the model that best fits the task — and can switch models without rewriting the whole solution.

Read more: How much does AI development cost in Denmark? · What is RAG? · AI and GDPR

Have an idea for an AI solution?

Tell us what you want to achieve — we will give you an honest price estimate and an assessment of whether AI is the right solution.