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Decisions, not dashboards

Turn data into decisions.

Self-service and embedded analytics that put trusted, real-time insight in front of the people who act on it — inside the Mendix apps they already use.

What we do

Data Analytics on Mendix.

Production-grade data analytics delivered by a Mendix Platinum Partner, backed by Siemens Xcelerator.

BI & dashboards

Executive views

Role-based dashboards that surface the few numbers that matter.

Self-service

Analyst enablement

Governed self-service so teams answer their own questions.

Embedded

In-app analytics

Insight embedded directly in operational Mendix apps.

Predictive

Forecasting

ML-driven forecasts for demand, risk and performance.

Real-time

Live metrics

Streaming data for up-to-the-second operational views.

Storytelling

Decision narratives

Data framed as a clear decision, not a chart dump.

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 data analytics 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.

What tools do you use for analytics?

We deliver analytics inside Mendix apps and with the Altair RapidMiner stack, integrating your existing BI and data platforms.

Can analytics be embedded in our apps?

Yes — embedded, role-based analytics are a core pattern, so insight lives where work happens.

Do you handle real-time data?

Yes, via streaming and event-driven integration for live operational metrics.

How fast can we see value?

A focused dashboard or embedded view typically ships within a 21-day PoC.

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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