Trial
Start in just a few minutes
Upload your first CSV and work directly in the browser.
🌡️ Up to 25% lower HVAC energy use
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.
14-day trialRuns in the browserCSV instead of an integration project
Up to
25%
potential energy savings when continuous loads and poor control points become visible early instead of after weeks of manual review.
Before
- • Energy use stays high even when occupancy or load changes
- • Continuous loads and overnight consumption stay unnoticed
- • Controls get adjusted without a clean way to compare impact
After
- • Spot continuous loads immediately
- • Connect energy use with temperature and occupancy
- • Find the control levers worth testing first
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✓ Laboratories & research facilities ✓ Production halls ✓ Office buildings with technical systems ✓ Facility managers
Perfect for
Problem
The Problem
HVAC systems often run on fixed patterns instead of real demand. That creates continuous load, unnecessary comfort buffers, and energy use that is hard to explain internally.
Solution1 2 3
The Solution
dAIve condenses HVAC data into clearer patterns: match consumption against usage, expose continuous loads, and review the most important levers first.
Spot continuous loads immediately
Identify operating phases where systems run even though load or usage barely justifies it.
Connect energy use with temperature and occupancy
Review how strongly conditions, time windows, or occupancy actually influence demand.
Find the control levers worth testing first
Use drivers and anomalies to review setpoints more deliberately instead of adjusting blindly.
Next step
Less guesswork in building optimization.
potential energy savings when continuous loads and poor control points become visible early instead of after weeks of manual review.
Up to
25%
Workflow1 2 3 4
How it works
From CSV to first actionable insights in under 20 minutes.
2 min
Export building data
Temperature, consumption, occupancy from BMS.
1 min
Recognize patterns
dAIve analyzes relationships between load, timing, and usage.
5-15 min
Prioritize anomalies
See which continuous loads and control states deserve review first.
instant
Compare impact
Observe how changed settings show up in the data pattern.
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 week of hidden continuous load costs energy and budget.
Start your 14-day trial and use your first CSV to see where your HVAC setup is binding unnecessary energy.
14-day trialRuns in the browserCSV instead of an integration project