🔬 Up to 30% less test effort

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.

See solution

14-day trialRuns in the browserCSV instead of an integration project

Up to

30%

less unnecessary test effort when you prioritize experiments based on data instead of gut feel. Scattered results turn into a clearer direction much faster.

Before

• Manual evaluation eats up valuable lab time every week
• Important patterns stay buried in tables and notes
• Next experiments are guessed instead of prioritized

After

• See which factors actually drive the outcome
• Compare test variants instead of raw table rows
• Prioritize the next worthwhile experiments

Trial

Start in just a few minutes

Upload your first CSV and work directly in the browser.

Setup

No local installation

Your team can test dAIve without a rollout or IT project.

Input

CSV from your existing tool

Export data from your current stack and get started immediately.

Support

Personal support via email

support@daive.de

Target

Perfect for

✓ Hardware & DeepTech startups

✓ Testing labs & test benches

✓ TÜV-related organizations

✓ Research & development teams

Problem

The Problem

Many tests create plenty of data, but not much clarity. Without a clean evaluation flow, your team spends time on outliers, redundant series, and gut feel instead of defensible next steps.

Manual evaluation eats up valuable lab time every week

Important patterns stay buried in tables and notes

Next experiments are guessed instead of prioritized

Insights are hard to document and share across the team

Solution

The Solution

dAIve turns experiment data into a clear decision layer: make patterns visible, prioritize the biggest drivers, and compare variants more confidently.

See which factors actually drive the outcome

Correlations and model-based analysis show where the real signal sits in your test data.

Compare test variants instead of raw table rows

Evaluate configurations more systematically and spot which areas deserve deeper follow-up.

Prioritize the next worthwhile experiments

Use the results to avoid redundant tests and focus follow-up work where it matters most.

Next step

Fewer test loops. Faster learning cycles.

less unnecessary test effort when you prioritize experiments based on data instead of gut feel. Scattered results turn into a clearer direction much faster.

Up to

30%

Workflow

How it works

From CSV to first actionable insights in under 20 minutes.

2 min

Load test data

Import your experiment CSVs.

1 min

Define goals

Choose target variables and relevant drivers.

5-15 min

Recognize patterns

dAIve reveals relationships, drivers, and unusual ranges.

instant

Prioritize next tests

Compare variants with data and plan follow-up work more deliberately.

FAQ

Use case FAQ

The key questions before you start your trial with your first CSV.

Can I use CSV exports from ANSYS, Abaqus, or LS-DYNA?

Yes. dAIve works with tabular CSV data. If your tool exports CSV, you can start immediately.

How much data do I need for first insights?

For initial patterns and correlations, existing historical or simulated datasets are often enough.

Do I need installation or integration first?

No. The web app runs in your browser. Upload CSV, choose inputs and target, and start analysis right away.