Continuously stream real-time telemetry from over 20 sensors per car, capturing speed, throttle, brake pressure, tire temps, suspension, and GPS coordinates. Includes fault-tolerant buffering and adaptive compression for zero data loss during intense race conditions.
Compute live KPIs including lap times, sector splits, tire wear, fuel consumption, and driver consistency metrics. Predictive models suggest optimal pit stops and strategy adjustments, enabling engineers to make instant race-critical decisions.
Dynamic 3D visualizations with multi-lap telemetry overlays, driver comparisons, and predictive trend graphs. Zoom, pan, and filter features allow engineers to analyze past laps and anticipate performance deviations in real-time.
Machine learning detects anomalies in real-time, including tire overheating, brake fade, engine stress, and fuel inconsistencies. Sends instant alerts to engineers to prevent mechanical failures or suboptimal performance.
Export race telemetry and analysis in CSV, Parquet, and JSON formats. Automated race summaries, KPI reports, and API integrations allow seamless collaboration with data scientists and strategic decision-making teams.
Live Dashboard Demo
Race Strategy Optimization