🔥 Up to 30% lower energy in thermal processes

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.

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

Up to

30%

potential energy savings and shorter cycles when overheating and excessive holding times become visible in data instead of staying assumptions.

Before

  • • Profiles grow historically and are rarely challenged with data
  • • Holding times stay longer than needed for stable results
  • • Energy use and process quality are seldom reviewed together

After

  • • See which temperature phases actually matter
  • • Find unnecessary holding times faster
  • • Compare profiles across batches and products

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

Plastics processing
Metal industry
Food & Pharma
Process engineers
Problem

The Problem

Thermal processes are often run with safety buffers because nobody can clearly show which temperature phases are truly necessary. That raises energy use, extends cycle times, and makes optimization decisions harder to defend.

Profiles grow historically and are rarely challenged with data
Holding times stay longer than needed for stable results
Energy use and process quality are seldom reviewed together
Improvements are hard to prove and align on internally
Solution

The Solution

dAIve condenses temperature, timing, and energy data into clearer patterns: expose critical phases, compare profiles, and derive more focused optimization reviews.

1

See which temperature phases actually matter

Identify which parts of the profile strongly relate to outcome, timing, or energy use.

2

Find unnecessary holding times faster

Spot sections that extend cycle time without a clear operational payoff.

3

Compare profiles across batches and products

Review which patterns stay stable and where deeper investigation is worth it first.

Next step

Less energy. Clearer levers for process improvement.

potential energy savings and shorter cycles when overheating and excessive holding times become visible in data instead of staying assumptions.

Up to

30%

Workflow

How it works

From CSV to first actionable insights in under 20 minutes.

1

2 min

Export process data

Temperature curves, cycle times, energy.

2

1 min

Analyze patterns

dAIve reveals suspicious phases and relevant drivers.

3

5-15 min

Compare profiles

See which curves or holding times deserve closer review.

4

instant

Validate impact

Compare adjusted settings against your data.

FAQ

Use case FAQ

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

Can I use CSV exports from meters, BMS, or existing energy systems?

Yes. As long as you can export values as CSV, you can load them into dAIve and analyze directly.

How quickly do I see first savings opportunities?

Usually during the trial itself, within minutes after upload, target definition, and model training.

Do I need an integration project for the trial?

No. Start in the browser with a CSV export from your current setup.

Next step

Every oversized process step costs time and energy.

Start your 14-day trial and use your first CSV to see which profile phases deserve attention first.

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