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Home / AI Solutions / GenAI App Development
Production GenAI

GenAI apps that reach production.

LLM-powered applications grounded in your data — built on Mendix with safety, cost control and the freedom to bring your own model.

What we do

GenAI App Development on Mendix.

Production-grade genai app development delivered by a Mendix Platinum Partner, backed by Siemens Xcelerator.

LLMs

Model integration

Amazon Bedrock, Azure OpenAI or your own model.

RAG

Your data

Retrieval-augmented generation over your knowledge.

Prompts

Engineering

In-platform prompt engineering and optimisation.

Safety

Content filters

Guardrails that keep outputs aligned and compliant.

Cost

Token monitoring

Visibility and control over token usage and spend.

Flexibility

BYO model

Connect any foundation model with custom connectors.

How we deliver

Discover. Build. Govern.

The same 21-day rhythm across every engagement — discovery in five days, a production proof in twenty-one.

Step 01

Discover

Pin the use case and the ROI hypothesis in a 5-day discovery.

Step 02

Build

A production PoC on Mendix in 21 days — real data, real users.

Step 03

Govern

Security, audit and model risk handled from day one.

Step 04

Scale

Grow on the same platform to 100K users — no rebuild.

Ready to put genai app development to work?

Tell us the outcome you're after. We'll bring the platform, the AI and the engineers who've done it before.

FAQ

Questions, answered.

Which models can we use?

Amazon Bedrock, Azure OpenAI, Google Gemini or your own model via custom connectors.

How do you ground models?

RAG over your data and knowledge graphs for accurate, explainable responses.

How is cost controlled?

Token-consumption monitoring and scoping during experimentation.

Is it secure?

Content filters, safeguards and governance are built into the platform.

What is agentic AI?

AI systems where autonomous agents plan and take multi-step actions across tools and workflows — beyond a single chatbot reply.

What is retrieval-augmented generation (RAG)?

A technique that grounds an LLM in your own data at query time, improving accuracy and reducing hallucinations.

How is generative AI different from traditional AI?

Traditional AI predicts or classifies; generative AI creates content and powers copilots and agents.

How much does an AI proof of concept cost?

We deliver a fixed-fee, fixed-scope 21-day production PoC; the exact figure is set after a 5-day discovery.

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