Stop reporting on the past.
Start predicting what's next.

Build and deploy ML models, churn, forecast, scoring,in hours, not months.
No Python. No data scientist.
Just your data analyst asking questions in plain English.

Ask for demo
Trusted by data teams across Europe
FROM QUESTION TO PREDICTION
Ask a question. Get a model in production.

Matr turns your data analyst into a data scientist. Ask a business question in natural language, Matr handles the feature selection, model training, validation, and deployment. Your analyst stays in control.

01
Describe your goal
02
Train automatically
03
Deploy in one click
04
Automate & monitor
Tell Matr what you want to predict,in plain language.
Matr identifies the right datasets and starts working.
Every step is visible and explainable. No black box.
Matr selects features, tests algorithms, and trains the model.
The model goes live, no setup.
Predictions refresh with your data, via dashboard, API, or direct integration.
Set it once. No MLOps team required.
Matr monitors performance and flags when retraining is needed.
THREE WAYS OUT
Use predictions wherever you work.

Once your model is in production, Matr gives you four ways to consume predictions:

01

Dashboard

Visual predictions, segments, and KPIs, directly in Matr.
02

Api

REST endpoint for each model. Integrate predictions into any app or workflow.
03

Integration

Push predictions directly to your warehouse, CRM, or spreadsheet. Automated.
Every model ships with a ready-to-use API endpoint. Copy the cURL, test it in 30 seconds.
case study

Blissim cut churn by 20%

without hiring a data scientist

The Challenge

Blissim was losing €200K/month to churn. No data scientist on staff. No time to build a model from scratch.

The Solution

Matr deployed a churn prediction model on BigQuery in one day. The model scores every customer, identifies high-risk profiles, and feeds retention campaigns.

The Impact

  • +20% customer retention
  • +40K/month recovered revenue
  • Model deployed and in production
Read the full casestudy
SIX MONTHS VS. ONE WEEK
The real cost of "we'll build it ourselves."

Every month you spend building ML in-house is a month your competitors spend shipping predictions.

Time to first prediction

<  1 Week

Annual cost

From €12K/Year

Data pipelines

Built-in, real time

Model maintenance

Automatic monitoring

Business team access

Yes - Natural language

Deployment

One click

Questions we hear most.

Every month you spend building ML in-house is a month your competitors spend shipping predictions.

  • Do I need a data scientist to use Matr?

    No. That's the whole point. Your data analyst describes the business question in natural language — Matr handles the ML pipeline.

  • What types of models can I build?

    Classification (churn, scoring, segmentation), regression (revenue forecast, demand planning), and time-series forecasting. Matr selects the best approach based on your data.

  • How accurate are the models?

    It depends on your data quality, but Matr shows you accuracy metrics, baseline comparison, and confidence scores so you can make an informed decision. Typical results: 75-95% accuracy on well-structured data.

  • Where does my data stay?

    In your warehouse. Matr connects to your Snowflake, BigQuery, or PostgreSQL. No data is moved or duplicated.

  • Can I integrate predictions into my existing tools?

    Yes. Via REST API, direct warehouse write-back, or scheduled exports. Predictions flow into your CRM, ERP, spreadsheet — wherever your team works.

  • What happens if the model's performance degrades?

    Matr monitors model drift continuously. When performance drops below threshold, it flags the issue and can trigger automatic retraining.

For more questions, feel free to contact us

Contact us