End-to-end AI development services

Examples of Gen AI in action

Gen AI in (product) search

Unlike keyword matching, GenAI models understand the search intent of a user. This enables better search results with less content curation, supports multiple languages, and even allows for image-based search.

Gen AI in SEO

Gen AI models can understand the content and the structure of websites and automatically propose optimizations for search engine ranking.

Gen AI in analytics

Gen AI in customer support

How do we work on End-to-end Gen AI projects?

We turn AI concepts into products through a structured, iterative process that ensures smooth execution. Our GenAI Product Discovery phase aligns AI capabilities with your business goals. In the Definition of Ready, we clarify technical, ethical, and strategic requirements. We then refine model training, integrate data pipelines, and deploy a minimum viable AI product (MVP) for live testing.

This process has a strong track record of bringing AI products to market—successfully and responsibly.

Our principles of work

Business, Legal & Tech—Always

AI isn’t just about innovation—it must fit within business constraints, IT infrastructure, and legal frameworks. Our cross-functional teams navigate these complexities to deliver solutions that actually work.

From idea to reality

A concept on a slide deck is just the beginning. Our product owners bridge strategy and execution, turning your vision into a functional AI product through precise and forward-thinking requirements engineering.

Outcome over output

Legal involvement from day one

Find your starting point with our data discovery workshop:

Get your data AI ready: Data is the foundation of successful AI applications—it defines how intelligent the deployed solutions truly are. Whether you're just beginning to collect data or already have well-established pipelines, our workshop format supports you at every stage, helping you uncover untapped opportunities to use data in ways that create real value.

How it works:

We’ll begin by demystifying data products and cutting through the jargon—explaining the core concepts and the value they can unlock. You’ll see how we’ve helped other organizations turn abstract ideas into impactful solutions. Next, we’ll explore your business context and co-create ideas using methods from opportunity mapping, design thinking, and business model innovation.

The goal of the workshop is to develop 5–10 prioritized data product ideas aligned with your strategic goals. If there’s a strong fit, these can form the basis for a long-term collaboration.

We’ll bring a diverse team of experts in data architecture, analytics, product management, and business design. To get the most out of the workshop, we ask you to involve people who know your data, can guide future developments, and hold decision-making authority.

Why diconium?

While creating a demo or prototype is simple, building a production-ready AI system that is reliable, safe, and measurable takes deep expertise and precision. From voice-based sales assistants to AI-powered SEO and content management, we developed GenAI applications across a wide range of industries and use cases. In all of our AI development, we prioritize quality, safety, and security.