Webinar · On demand · 20 min
From 247 raw signals to ML‑ready training data — 10× faster.
Marcel Bachmann and Dr. Daniel Dilmetz introduce DataPilot — the SaaS platform that automates the quality checking, signal matching, event labelling, and export pipeline that consumes the first half of every analysis project. Live demo starts at 3:00.
See DataPilot label 8 minutes of vehicle data — in 12 seconds.
Webinar with Marcel Bachmann & Dr. Daniel Dilmetz
Webinar with Marcel Bachmann & Dr. Daniel Dilmetz
REC · ON DEMAND
compredict.ai/datapilot
Hosted by
The team presenting DataPilot Webinar
MB
Marcel Bachmann
Product Manager · COMPREDICT
Vehicle Dynamics & Research / Hardware Replacement
Vehicle Dynamics & Research / Hardware Replacement
DD
Dr. Daniel Dilmetz
Global Account Director · COMPREDICT
Jump to a chapter
20 minutes. The demo is the part to bookmark.
Marcel and Daniel set up the problem in the first three minutes. The live demo runs from 3:00 to 18:00 — that's where you'll see DataPilot actually work on real vehicle data.
What you'll see in the demo
Three numbers from the demo worth remembering.
01 · DATA QUALITY CHECK
1.2s
Broken channels, surfaced in seconds
Outliers, missing data, and saturation — auto-flagged across every signal. No more scrolling through Jupyter cells to find the channel that's wrong.
02 · LABELLING SPEED
10×
From RAW signals to ML-ready data
A 30-day customer pilot benchmark: DataPilot delivers labelled, training-ready datasets 10× faster than the previous workflow.
03 · TIME-TO-INSIGHT
12s
8 minutes of drive data, labelled
Watch DataPilot ingest, score, and label eight minutes of recorded drive data in twelve seconds — live, on real signals.
Run DataPilot on your own dataset.
Upload your vehicle data, get back labelled, ML-ready signals. 20-minute onboarding, free Beta access.
€1,000 free compute credit
compredict.ai/saas · Free Beta access · 20-min onboarding
