FLEETNET™

FLEETNET™ collects, processes, and analyzes massive volumes of real‑world driving data from connected fleets, transforming it into actionable insights. It identifies edge cases, generates behavioral heatmaps, and feeds simulation systems to expand scenario coverage for safer autonomous deployments.

Key Features

Real‑time fleet telemetry ingestion: Continuously processes high-volume data streams from thousands of connected vehicles, capturing detailed telemetry including sensor readings, vehicle dynamics, environmental conditions, and driver behaviors in real-time.

Scenario mining for rare and risky events

Advanced machine learning algorithms automatically detect and extract unusual driving scenarios, near-miss incidents, and edge cases from vast datasets, creating a comprehensive library of rare events that traditional testing methods might miss.

Behavioral heatmap visualization

Interactive geospatial visualization tools generate detailed behavioral heatmaps showing traffic patterns, risk zones, and driving behaviors across different locations, times, and conditions, enabling data-driven decision making for fleet optimization and safety improvements.