F1 Car Background
AEROS-XAIRace Intelligence System
Live Telemetry

Intelligence. Precision. Victory.

RACE

INTELLIGENCE

Real-time. Explainable. Actionable.

"Knowing you're slower doesn't help.
Knowing why you're slower helps."

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Race Deployment In
32DAYS
/
14HRS
/
45MIN
/
10SEC

Live Telemetry

23Hz Data Stream

AI Agents

Real-time Analysis

Strategy Engine

Race Winning Decisions

Predictive Insights

Future Scenarios

Mission Briefing Car
Mission Briefing

The Intelligence
Behind Every Lap.

AEROS-XAI unifies telemetry, driver state, strategy, and regulations into a single explainable intelligence engine. Detect issues earlier. Understand causes deeper. Make decisions faster.

The Challenge

Why Teams Lose Performance

Race performance is influenced by multiple complex factors. Traditional systems analyze them separately.
We connect them.

Vehicle

  • Tire degradation
  • Brake overheating
  • Fuel inefficiency
  • Powertrain issues

Driver

  • Fatigue
  • Stress
  • Hydration loss
  • Reduced reaction time

Strategy

  • Missed pit window
  • Traffic exposure
  • Fuel planning
  • Tire selection

Regulations

  • Penalty risks
  • Safety car restrictions
  • Pit stop legality
  • Track limits
03 Connected Intelligence

ONE PLATFORM.

FOUR LAYERS.

A unified operating layer for engineers. Each domain runs continuously, then shares evidence through the Intelligence Core before a recommendation reaches the pit wall.

2.8k
Signals / Sec
42ms
Inference Latency
91%
Decision Confidence
AEROS-XAI
CORE
IBM Granite
01
DRIVER
State Analysis
02
VEHICLE
Machine Health
03
STRATEGY
Race Model
04
RULES
FIA Validation
Multi-Agent Architecture
Our Solution

Multi-Agent Intelligence
Architecture

Vehicle Diagnostics

Mechanical Intelligence
Processes
Tire WearBrake AnalysisEngine HealthFuel Efficiency

Driver State Agent

Human Performance Intelligence
Processes
Fatigue DetectionStress AnalysisHydrationPhysical Load

Performance Attribution

Root Cause Intelligence
Determines

Why performance is being lost.

Live Attribution Example
Driver Impact52%
Vehicle Impact35%
Track Impact13%

Race Context Agent

Environmental Intelligence
Processes
Weather AnalysisTrack ConditionGrip MonitoringSector Performance

Strategy Supervisor

IBM Granite Engine
  • Agent Orchestration
  • Tactical Recommendation
  • Decision Synthesis
05 Validated Data Integration

Proven with
Real-World Datasets

Historical API Streaming

OpenF1 10Hz Telemetry

"Our replay engine actively streams real OpenF1 telemetry JSON files at exactly 10Hz, injecting authentic Speed, RPM, and Gear data into the dashboard in real-time."

Live SpeedLive RPMLive GearsThrottleBrake10Hz Stream Rate

Dynamic Physics Math

Simulated Biometrics & Thermals

"Because APIs don't broadcast driver heart rate or exact tire wear, we run continuous mathematical physics models that react instantly to the real speed telemetry."

Tire Wear %Brake TempsDriver HR (bpm)HydrationG-Force

The Hybrid Architecture

Seamless Data Merging

A single React Context handles both datasets simultaneously. Real OpenF1 data overrides the mocked movement physics, while the math calculates the unseen analytics.

Unified React ContextState OverridesZero Latency Blend

Offline Demo Reliability

100% Presentation Safe

By downloading a specific high-speed snippet of Max Verstappen's telemetry into a local JSON file, we guarantee the live-demo will never fail due to API rate limits.

Locally Cached JSONNo Rate LimitsMax Verstappen Abu Dhabi
F1 Driver Helmet Reflection

Every lap tells
a story.

AEROS-XAI Explains It.

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