Ask questions about your data
Ask the AI assistant your question in plain language. The assistant runs analyses on your organisation’s data and gives you a well-founded answer.
Who it is for
“What does the low liveability score in this neighbourhood mean?”
Policymaker
Wants to know quickly what the data says about a district or theme, without building an analysis themselves.
“Combine the liveability score with the share of older residents per neighbourhood.”
Data analyst
Combines sources and looks for relationships, without writing a new query for every question.
“What data on homes do we have, and from which year?”
Manager
Wants to know what information is available and how current it is.
What can you use it for?
Query
Ask which data exists, what kind of data it is and since when it has been available.
Analyse
Create your own analyses, or ask questions that combine data from different sources.
Explain
Let the assistant explain what a result means and what it has an impact on.
From question to answer
Question
You ask a question in plain language.
Plan
The assistant determines which data and queries are needed.
Search and analyse
The platform runs the queries and analyses on your organisation’s data. The AI model does not get access to your database.
Answer
You get a well-founded answer in plain language.
Follows your organisation’s policy
Your organisation decides how the assistant works: how much it may be used, which data it may use and how it answers.
The platform tracks usage in statistics.
Your data stays in the platform
That is where the platform runs the queries and analyses.
The AI model does not get access to your database or your raw data.
It only receives your question and the results the platform retrieves for it.
The platform and the AI model run in the same environment as your data, on Azure or Scaleway. You choose whether that environment is in the EU or in the Netherlands. The model does not store your data and does not train on it.
Works with your existing data
The assistant works with the data in the platform. Do you want to use your own datasets or your own BI environment? Connect them to the platform and the assistant will work with them too.
More ways AI supports the platform
In the solutions
The Integrated Neighbourhood Scan was developed with an AI assistant. Assen was the first municipality to use it.
The same data
Dashboards, reports, APIs and AI models run on the same integrated data.
Advice
Advice on AI assistants and RAG solutions. Making AI practical, responsible and explainable.
See it in a solution
The Integrated Neighbourhood Scan uses the AI model to explain data and combine sources.
Frequently asked questions
1
What is the AI assistant?
An assistant that answers your questions in plain language based on your organisation’s data, and runs analyses to do so.
2
How is an answer produced?
The assistant plans the queries and analyses, and the platform runs them on your data. The model gets no access to your database.
3
Can I limit its use?
Yes. Your organisation sets how much the assistant may be used, which data it may use and how it answers.
4
Does the assistant only see data I have permissions for?
Yes. The assistant only uses the data you are allowed to see in the platform.
5
Where does the model run, and does it see my data?
The model gets no access to your database or raw data, only your question and the results the platform retrieves. The platform and the model run in the same environment as your data, on Azure or Scaleway. You choose whether that environment is in the EU or in the Netherlands. The model does not store your data and does not train on it.
6
Can the AI predict the effects of policy choices?
The assistant answers questions about your existing data.