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Service · AI applications

AI applications for mid-sized companies - from pilot to production.

Many AI projects end after the pilot. We build AI that fits your processes, works with your data and runs in day-to-day operations - and we keep operating it afterwards.

Discuss a project

Building blocks

What we build and take responsibility for.

  1. AI assistants on your own data

    Answers from your content - for website, sales, service and internal use.

  2. AI-supported process automation

    Capture and check documents, emails and data and hand them over to ERP, CRM or DAM.

  3. AI in existing software

    Add AI features to existing applications without rebuilding them.

  4. People decide

    AI makes suggestions, your staff accept or reject them. Responsibility stays with you.

Approach

From pilot to production.

  1. 1Clarify the use case

    Where does AI bring measurable value - and where not?

  2. 2Pilot on real data

    Start small and check the result.

  3. 3Bring it into the process

    Connection to your systems, permissions and logs.

  4. 4Operate

    Hosting in the EU, monitoring and further development.

From our products

Entitio

In Entitio, AI suggests alt texts and meta data for images - a person accepts or rejects them. We use AI the same way in client projects.

View Entitio
Entitio: AI suggestions for an image's alt text and meta data

Technologies

Technology that carries.

  • Next.js
  • Supabase
  • PostgreSQL
  • EU-Hosting

Frequently asked questions

  • How can a mid-sized company use AI sensibly?

    Where it brings measurable value: answers from your own content, automatic processing of documents and data, AI features added to existing software. We clarify the use case first - including where AI brings nothing.

  • How is an AI assistant built on our own documents and data?

    The assistant is connected to your content, such as documents, product data or knowledge articles, and answers from these sources rather than the open internet. It can be used on the website, in sales, in service or internally.

  • Can AI be connected to ERP, CRM or DAM?

    Yes. AI-supported process automation captures and checks documents, emails and data and hands them over to ERP, CRM or DAM.

  • How does an AI project get from pilot to production?

    We start small on real data, check the result and then connect the application to your systems with roles, permissions and logs. Afterwards we keep running and monitoring it.

  • Where is data processed in AI applications?

    We host in the EU. Which AI models are used is decided per project together with you. In the end, a person always decides.

Let's talk about your project.

Discuss a project