14-day free trial - Basic or Pro

Machine learning simple. no code.

Browser-based SaaS for no-code machine learning: import a CSV, choose inputs and target, train models, and export predictions. The web app runs fully in your browser, while training and prediction run on our servers.

Workflow

Guided instead of scripted

Models

RF, XGBoost, FNN, RNN

Export

CSV and models

Web app preview

Import training data

CSV loaded1,248 rows

File

📄production_training.csv✓
timestamptemperaturepressureyield

Detection

SeparatorComma (,)
DecimalDot (.)

Inputs

temperaturepressure

Target

yield
✓Upload CSV
✓Review header
✓Choose inputs and target
Product

Why dAIve?

A no-code ML suite that guides you from CSV import to prediction export.

1

Guided instead of scripted

Clear web-app workflow: Import → Description → Model Design → Training → Prediction.

2

Model choices that fit

Train Random Forest, XGBoost, FNN, or RNN. Pro adds batch mode and Optuna optimization.

3

Visible and traceable

Plots, metrics, Data Size Analysis, and Input Dropout help you review and document results.

Workflow

How it works

From CSV to predictions in a few clear steps.

1

Import CSV

Load your file, verify separator detection, inspect the header, and choose inputs plus target.

2

Describe your data

Review distributions, correlations, and the built-in Data Size Analysis and Input Dropout steps.

3

Design and train

Choose a model, set configuration, and optionally use batch mode or Optuna on Pro.

4

Predict and export

Generate predictions, review them in the table, and export the result as CSV.

Scenarios

Use Cases

Discover how dAIve helps in various scenarios - from simulation to energy savings.

Engineering

Faster decisions from simulation and test data

📊→

Cut simulation loops in half

Without a data scientist.

Are 15 to 20 simulation runs, manual analysis, and slow iterations holding you back? Upload a CSV export from ANSYS, Abaqus, or LS-DYNA and see within minutes which parameters really drive your results.

🔬→

Turn test data into decisions

In under 20 minutes.

Are your insights getting lost between CSV exports, lab notes, and spreadsheet filters? Upload your test data and quickly see which parameters relate to your outcome and which experiment series deserve your attention first.

🎯→

Turn DOE data into fast model answers

Without an extra analytics project.

Are large parameter studies slowing you down at the evaluation and comparison stage? Upload your DOE data, train a model on your variants, and assess new parameter combinations much faster than by manually reviewing results alone.

Energy

Find hidden consumption patterns and cut costs

💨→

Make compressed air losses visible

Before they eat your budget.

Compressed air is expensive, but the biggest loss drivers often stay invisible. Upload pressure, runtime, and consumption data to spot patterns that point to leaks, poor control logic, or unnecessary base load faster.

🌡️→

Make HVAC consumption visible

And review controls with more focus.

Are systems running longer and harder than necessary without anyone knowing exactly why? Analyze temperature, airflow, and consumption data to uncover continuous loads, poor control points, and mismatches between usage and energy demand faster.

⚙️→

Make idle time visible

Before it gets expensive.

Are machines drawing energy without delivering productive output? Connect machine status, consumption, and production data to see when idle phases, waiting states, or poor cycling create avoidable cost.

🔥→

Understand temperature profiles better

And review cycle times with more focus.

Are temperature profiles based more on history than on evidence? Analyze temperature curves, cycle times, and energy use to see faster where overheating, long holding times, or poor profiles are driving cost and delay.

⚡→

Understand charging windows better

And avoid peaks more deliberately.

Is your fleet charging exactly when site load and electricity prices are already high? Analyze charging, load, and timing data to see faster which windows, routines, and peak patterns are creating avoidable cost.

Plans

Pricing

Start with a 14-day free trial - Basic or Pro.

Basic

14-day trial
9 €*
per month

For beginners and smaller ML projects.

  • ✓Single-model training
  • ✓Basic model design
  • ✓Up to 5 projects
  • ✓Up to 100 MB storage
  • ✓Up to 100 compute credits per month
  • ✓14 days free trial

Pro

14-day trial
95 €*
per month

For heavier workloads and professional usage.

  • ✓Single and batch training
  • ✓Advanced model design
  • ✓Automated hyperparameter optimization
  • ✓Up to 100 projects
  • ✓Up to 1 GB storage
  • ✓Up to 10,000 compute credits per month
  • ✓14 days free trial

* Prices exclude VAT. Note: pricing and features may change. You can review final details in checkout and in your account.

Answers

FAQ

Quick answers to common questions.

How do I start the trial?

Click Start trial, create an account, and choose Basic or Pro.

Does dAIve run fully in the browser?

Yes. The web version is SaaS and runs fully in your browser without installation.

Where do training and prediction run?

Training and prediction run on our servers. Your machine handles the web-app UI in the browser.

Which models does dAIve support?

Random Forest, XGBoost, FNN, and RNN. Batch mode and Optuna are available on Pro.

How can I reach you?

Email us at support@daive.de and we will help quickly.