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AI Product Design

We design and ship products with built-in AI. Not demos. Products that run.

AI agents, intelligent interfaces, automations, LLM integrations. What used to take 3 weeks at a traditional agency, we deliver in 5 days.

The context

AI is everywhere. Products that actually use it are not.

Everyone talks about AI. Few teams know how to concretely integrate it into a digital product that works, deploys and creates value.

Experiments that never leave the prototype phase. ChatGPT in a Figma demo is not an AI product.
Sloppy LLM integrations without UX. Slapping a GPT API onto an existing interface creates confusion, not value.
Absurd timelines for simple projects. Six months for an AI MVP means six months of lost market opportunity.
What we build

AI products. Intelligent interfaces. Automations.

We use AI as an execution lever and as a product feature. Both at the same time.

MVPs with built-in AI

Functional products with LLM processing, document analysis, content generation or recommendations. Deployed in production, not in a sandbox.

Agents and automations

AI agents that execute complex business tasks. Data extraction, automatic classification, summaries, intelligent workflows.

Intelligent interfaces

Semantic search, integrated chat, contextual suggestions, dynamic personalization. Interfaces that adapt to user behavior.

LLM integrations

OpenAI, Anthropic Claude, Mistral, Gemini. We choose the model suited to your use case, handle prompt engineering, cost management and reliability.

AI-augmented business tools

CRMs, dashboards, management tools enhanced by AI. Predictive analysis, intelligent alerts, automatic summaries.

Our method

From idea to AI product. In weeks, not months.

We work in short cycles. Every week, you see something that works. AI accelerates every phase.

01

AI scoping

We identify high-impact AI use cases in your product. We choose the models, define cost, latency and reliability constraints.

02

Design sprint

In 3 to 5 days, we prototype the interface and AI flows. You test a functional version before investing in full development.

03

Build

Front-end, back-end development and AI API integration. We iterate on prompts, optimize performance and handle edge cases.

04

Deployment

Production deployment, LLM call monitoring, cost management. The product is live and you have full control.

What you receive

A functional AI product. Not a presentation.

  • AI scoping document (use cases, models, architecture)
  • Interactive prototype (Figma + real AI integration)
  • Complete source code (front-end, back-end, LLM integrations)
  • Engineered, tested and documented prompts
  • Deployed infrastructure (Vercel, Railway, AWS depending on project)
  • Usage and maintenance documentation
  • Training for your team on the delivered tools

You own everything. Code, prompts, infrastructure, data. Nothing is held back.

Investment

A budget calibrated on the value created.

A functional AI prototype can be delivered in 5 to 10 days. A complete product with LLM integration in 4 to 8 weeks. Costs depend on the complexity of AI flows, number of integrations and expected API call volume.

As a reference: AI prototype from 3,000 EUR, MVP with integrated AI from 8,000 EUR. Free and detailed estimate after a first conversation.

Free estimate within 24h

We also calculate the monthly AI API cost so you have a complete view of your operating budget.

Frequently asked questions

We primarily work with OpenAI (GPT-4o, o1), Anthropic (Claude), Mistral and embeddings for semantic search. We choose the model based on your use case, required latency and monthly API budget.

It depends on the call volume and model used. We estimate the realistic monthly cost with you during scoping. For a product with 500 active users, we're typically talking 50 to 300 EUR/month in API costs depending on usage.

A functional AI prototype (not a mockup, a product that actually calls the APIs) can be delivered in 3 to 5 days. That's our usual starting point before deciding whether to invest in the full product.

We configure integrations to not send sensitive data to third-party APIs without explicit consent. We can also deploy models locally if confidentiality is critical.

Yes. It's often faster than starting from scratch. We audit your product, identify the highest-impact AI entry points and implement them without breaking what already works.

This service near you

Your product can be smarter.

Describe your project in a few lines. We'll propose a concrete AI scoping within 24h.