From Raw Time-series Data to High-Quality Datasets
Transform messy driving logs into analysis-ready datasets through automated data preprocessing and annotation.
COMPREDICT’S PARTNERS

Turning kilometres of raw data into insights shouldn’t take weeks.

Millions of kilometres of driving data are stored, but remain unstructured and inconsistent.

Engineers spend days just matching signals, checking resolution, and fixing corrupt files.

Manual labeling and quality checks make every analysis cycle painfully slow.

“Before I can analyze anything,
I spend 60% of my time just fixing data.”

— Data Scientist, OEM partner

Automate data quality.

Structure events.

Trust your dataset.

Smart Data Quality & Auto-Fix

Automatically detect and fix inconsistencies – one click to prepare reliable, analysis-ready data.

Event Detection & Labeling

Automatically identify braking, acceleration, ABS, kick-down, and more.

One-Click Export

Filter, preview, and export structured data instantly.

Simplicity and flexibility win.

01

Upload

Load your driving dataset – more than 10 supported formats, ready for instant processing.

02

Check & Auto-Fix

Automatic signal matching, data quality diagnostics, and one-click repair for missing or inconsistent values.

03

Structure

Events are automatically detected, labeled, and organized for analysis.

04

Export

Get a clean, reliable dataset ready for your calibration or AI workflow.

Designed for teams working with vehicle time series data:

Vehicle Dynamics Engineers

Validate every measurement campaign instantly – no more discovering sensor errors days later.

Calibration & Validation Teams

Trust your reference measurements. Automated checks ensure signal reliability before you invest time in calibration.

Data Scientists & ML Engineers in automotive R&D

Train better models faster. Clean, event-labeled datasets with balanced splits across road surfaces and maneuvers.

Join Early Access

Help shape the next generation of automotive data tools.

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Building the next generation of automotive data infrastructure.
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