Algorithms and AI from automotive R&D to make native data reliable and boost
Reliable data and metrics that can be actionable on a daily basis
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Algorithms and AI to clean, make reliable and enrich raw sensor measurements.
Advanced signal processing
The signals measured by vehicle sensors are irregular and have inherent anomalies. Our signal processing algorithms make it possible to reconstruct coherent and usable data from raw signals.
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Predictive AIs & ML models
Our machine learning models automatically enrich and complete your data to eliminate repetitive manual entries. In the background, they provide you with reliable information, without approximation.
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Physical models and virtual sensors
Physical models from automotive R&D make it possible to reconstruct indicators that are not directly measured. Measure precisely: real consumption, driving events, or recharging based on available data.
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Predictive models
By combining history and real use, CleanMob projects future trends: consumption, maintenance, electrification. You are moving from descriptive reading to predictive management.
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Benefits & KPIs
Reliable and directly usable data to manage your fleet
Increased precision for proactive fleet management
Decisions based on consolidated data, even in heterogeneous multi-manufacturer environments.
Harmonized multi-manufacturer data
Easily compare your vehicles, even from different brands, on a consistent database.
Automatic detection of sensor anomalies
Quickly identify discrepancies and avoid biased analyses or decisions based on inconsistent data.
Transforming raw data into business indicators
Go directly from vehicle data to useful indicators to manage your fleet, without manual reprocessing.
FAQS
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20 Bis rue Louis Philippe, 92200 Neuilly sur Seine
92200 Neuilly sur Seine
+33 2 59 50 38 66contact@cleanmob.eu92200 Neuilly sur Seine
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