When every millisecond
matters, trust the
reason behind the decision
Explainable motorsport intelligence for race control, engineers, analysts, and fans.
AI-powered decisions grounded in regulations, backed by evidence.
The Problem with Black Box Decisions
In motorsport, split-second decisions determine race outcomes. But current tools provide data without transparent reasoning.
Race Engineers
Should we pit now or extend? Current tools show data but don't explain the reasoning.
Stewards
Was that incident worthy of a penalty? Decisions need regulation-grounded explanations.
Broadcasters
How do we explain complex technical decisions to millions of fans instantly?
Fans
Why did race control make that call? Fans deserve transparent explanations.
Built on IBM's AI Stack
Leveraging enterprise-grade AI tools for explainable, trustworthy motorsport intelligence
IBM Granite
Core reasoning and explanation LLM for incident classification, strategy recommendations, and rule-grounded decisions
- Incident classification
- Strategy reasoning
- Fan-mode translation
- Alternative analysis
Docling
Document parsing and chunk extraction for FIA regulations and steward decisions
- PDF parsing
- Structured extraction
- Chunk creation
- Metadata extraction
Langflow
AI workflow orchestration for end-to-end retrieval and reasoning pipelines
- Visual workflows
- RAG orchestration
- Multi-step flows
- Evidence retrieval
Features Built for Explainability
Every decision backed by evidence, every recommendation explained with confidence
Live Incident Risk Detection
Real-time monitoring with proactive alerts based on telemetry patterns
Explainable Strategy
Context-aware recommendations with confidence scores and reasoning
Rule-Grounded Decisions
Regulation clause matching with precedent-based explanations
Fan-Friendly Mode
Technical-to-simple translation for broadcast and social media
Document Intelligence
Searchable FIA regulations and steward decisions corpus
Trust Layer
Evidence traces, confidence metrics, and 'why not' alternatives
Watch AI Analyze Real F1 Footage
See incident detection, regulation matching, and decision-making in action
Max Verstappen - Monaco GP 2023
Onboard camera - Qualifying lap incident detection
Lewis Hamilton - Silverstone 2023
Pit lane camera - Unsafe release detection
Charles Leclerc - Monza 2023
Turn 1 camera - Contact analysis
Sergio Perez - Red Bull Ring 2023
Track limits camera - Multiple violations
Fernando Alonso - Spa 2023
Weather radar + onboard telemetry
RAG-Powered Architecture
Retrieval-Augmented Generation for regulation-grounded, explainable decisions
Ready to see explainable AI in action?
Launch the demo dashboard and explore incident analysis, strategy reasoning, and fan-mode explanations