A 2026 regulation-aware motorsport intelligence architecture.
Project Dioscuri is a simulation-supported telemetry interpretation cockpit for visualizing coupled degradation across aero, energy, tire, thermal, and driver states.
Launch Demo Dashboard View ArchitecturePublic-safe boundary: decision-support only. Not a medical diagnostic tool, not FIA-approved, and not connected to vehicle control.
Sakhir Case 01
“The driver begins fighting the car before the stopwatch shows the damage.”
The 2026 coordination problem
The 2026 rules create a tightly coupled cyber-physical environment. Isolated component optimization is no longer enough.
Aero State
X-Mode and Z-Mode transitions affect drag, downforce, balance, and electrical efficiency.
Energy State
MGU-K deployment, recharge, clipping, and brake migration reshape race-state decisions.
Tire State
Load transfer, thermal variance, and grip evolution affect whether the driver is correcting the car or fighting fatigue.
Thermal State
Cockpit heat, electronics load, and cooling limitations become part of performance interpretation.
Driver State
Steering variance and workload signals reveal degradation before lap time visibly collapses.
Decision Layer
Dioscuri interprets coupled degradation events as read-only decision support for engineers and coaches.
Platform architecture
A public-safe telemetry cockpit built around historical shadow analytics, synthetic validation cases, and executive debrief generation.
CSV Ingestion
Upload telemetry or load synthetic benchmark data.
Baseline
Early stable laps define reference behavior.
Entropy Proxy
Steering micro-correction variance becomes degradation signal.
PPG Detection
Warning lap and collapse lap reveal the predictive gap.
Debrief
Executive report summarizes event classification and system boundary.
Validation framing
The current dashboard is a prototype. Its claims are intentionally bounded and validation-oriented.
| Case | Warning | Collapse | PPG | Class | Status |
|---|---|---|---|---|---|
| Sakhir Case 01 | Lap 13 | Lap 17 | 4 laps | MIXED | Synthetic benchmark |
| Future Case 02 | Pending | Pending | Pending | Planned | Telemetry replay expansion |
| Real Data Trial | Pending | Pending | Pending | Goal | Simulator or junior motorsport data |
First realistic markets
The immediate route is not direct F1 acquisition. The realistic route is traction, validation, and credibility through accessible motorsport markets.
Sim Racing
Driver coaching, telemetry overlays, esports analytics, and content tools.
Formula Student
Engineering education, telemetry interpretation, and systems-thinking demonstrations.
Junior Motorsport
Driver development, fatigue patterns, and stint debrief support.
Open the live dashboard
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