Kairos is the intelligence layer that makes your team's decisions feel unfair to everyone else. Better tools, better data, better calls.
See how we cheatWhat separates P1 from P3 isn't the car. It's the intelligence behind the wheel.
Same goal, different frame. Observation, simulation, decision, communication — running at race speed.
Fuses multi-source telemetry into a real-time digital twin. Handles noisy sensors, missing data, and latency.
Industry-leading tire and vehicle dynamics models. Every decision validated against physics reality.
Multi-agent reinforcement learning models opponents and optimizes strategy with uncertainty quantification.
Decision cards with confidence metrics and plain-language explanations. Designed for split-second comprehension.
Kairos isn't built—it's grown. Every component runs as an evolutionary population of 8 competing variants, continuously breeding, mutating, and selecting for superior race performance.
Hidden race states aren't observed directly—they're inferred from 17 synchronized data streams using competing Bayesian filters. Each variant maintains a belief distribution over tire temperatures, grip levels, and battery states. Amphichiral Labs trains proprietary sensor fusion models specifically architected for motorsport telemetry latency requirements.
The most critical model in motorsport. Degradation happens through thermal decomposition, mechanical wear, and blistering—each captured by competing physics-informed neural networks.
No single method dominates. Kairos runs Stochastic DP, MCTS, RL Policy, Causal Analysis, and Game-Theoretic equilibrium simultaneously—then ensembles their recommendations with learned weights.
Racing is a dynamic game. Kairos maintains Bayesian beliefs about each rival's pit probability, pace model, undercut defense, and safety car response—updated every lap via fictitious play.
Every recommendation includes confidence scores, scenario comparisons, and plain-language rationale your entire team can understand instantly.
Box at end of Lap 50 for Medium tyres. Projected to gain 2 positions over final 8 laps. NOR pit strategy creates overtake opportunity at T1. ERS deploy optimal for overtake attempt.
Every session is recorded and analyzed. Compare laps, analyze sector performance, and identify where time was won or lost.
Amphichiral Labs is the R&D engine behind Kairos — proprietary sensor fusion models, custom ML infrastructure, and sub-millisecond inference. This is what makes the intelligence possible.
Custom neural architectures trained on 50+ sensor modalities. LiDAR point clouds, thermal imaging, electromagnetic field mapping—unified into coherent race state.
Deployable trackside sensor networks that predict grip conditions 30 seconds before cars arrive. Machine learning models trained on surface temperature, rubber deposition, and micro-weather patterns.
Custom FPGA-based inference accelerators deployed trackside. 100× more efficient than cloud GPUs for real-time decision workloads. Low power, high throughput, zero network dependency.
Computer vision models that read competitor telemetry from visual cues—tire smoke patterns, brake glow intensity, suspension compression. When data feeds fail, vision persists.
Every feature is designed to give your team the intelligence the other teams don't have.
Ingests timing, telemetry, GPS, weather, race control, and radio comms—synchronized to ±10ms. Missing data is flagged and imputed using physics-aware models, never silently interpolated.
Hidden variables like true tire grip and battery temperature aren't observed directly—they're inferred. Eight competing Kalman variants run in parallel, breeding the best performers every race.
Degradation isn't exponential—it's thermal decomposition, mechanical wear, and blistering happening simultaneously. Our 3-box thermal model + cliff prediction outperforms industry baselines by 40%.
Stochastic DP, MCTS, RL Policy, Causal Analysis, and Game-Theoretic EQ run simultaneously. Final recommendation uses learned weights—when 4/5 agree, confidence is high.
Each rival team is modeled with Bayesian priors on pit timing, undercut response, and safety car behavior. Nash equilibrium approximation reveals when to attack vs when they'll respond.
Every component is an 8-variant population. After each race: evaluate fitness, kill bottom 75%, breed survivors, inject mutations. The system improves itself—no manual updates required.
Kairos is building the definitive intelligence layer for motorsport. Partner with us to gain early access and associate your brand with championship-winning technology.
Become a sponsorGet early access to the intelligence layer the other teams don't have yet.