Performance powered
by physiology.
YNSYGHT anchors training, fueling, and recovery guidance to your lactate-inferred physiology. Learning how your body responds with every session, refining its guidance as you adapt.
Metabolic State
Hard days are earned.
Workload and recovery response are interpreted through lactate-inferred profiling, revealing whether today is best suited for intensity, endurance, or rest.
Adaptive Programming
Programming that adapts with you.
Each session shapes the next, with intensity, duration, and structure adjusted as your fitness, fatigue, and recovery profile evolve.
Fuel Mapping
Know what you'll burn. Before you burn it.
Fuel use is mapped from your lactate-inferred metabolic profile, then translated into personalized fueling guidance for every session, event, or training block.
Smart Guidance
Cues that earn their place.
Metabolic state, session intent, and execution are interpreted together, with audio, haptic, or voice cues delivered when effort drifts from the plan.
Adaptive Zones
Zones defined by physiology.
Lactate thresholds are measured directly, then mapped into multi-zone training intensities that evolve as your physiology adapts.
Fitness Trajectory
Adaptation made visible.
Thresholds, fuel use, and workload are tracked at matched intensities over time, revealing the signatures of true physiological adaptation.
AI Performance Coach
Data. With direction.
Change a workout, understand a recommendation, or learn the reasoning behind a decision, with guidance grounded in State, history, and metabolic response.
It doesn't end there.
YNSYGHT hosts additional capabilities that extend how it measures, learns, and guides.
Know when to trust the signal. Every recommendation is weighted by signal quality, calibration status, and physiological certainty, helping you distinguish measured insights from inferred guidance.
See what’s coming next. Project future readiness, recovery capacity, and fueling demand from recent training, helping you plan intensity, volume, timing, and recovery with greater confidence.
Detect meaningful change early. Shifts in thresholds, fuel use, fatigue, recovery kinetics, and training response are identified over time, keeping guidance aligned as true adaptation unfolds.
Connect the tools already in use. Workload, HRV, GPS, sleep quality, and activity data add context around the metabolic signal, improving guidance accuracy across training and recovery.
One system across disciplines. Running, cycling, triathlon, and mixed training modes can be modeled using sport-specific context, supporting guidance beyond a single modality or device ecosystem.