Readiness by TrekMH

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Innovators in Human Performance Prediction

TrekMH is redefining how readiness is measured, understood, and acted on. Our next-generation AI expert system is built on today’s high-quality clinical, operational, and scientific knowledge — continuously advancing through real-world outcomes and multimodal data — delivering personalized guidance across the full spectrum from performance optimization to clinical care, with data privacy controls built for the most security-sensitive environments.

We don’t just apply the state of the art. We advance it. Our edge is where performance science is hardest — mental and cognitive function. Deep analytics over weak measurements — however sophisticated the device collecting them.

We predict cognitive performance when standard models fail. Standard sleep scoring cannot predict who will be impaired — during high-demand operations like prolonged wakefulness or after scheduled recovery periods. Our measures do. And go further — predicting individual differences even when given ample rest opportunity. Correlations of 0.5 to 0.8 across all three conditions, validated against gold-standard neurobehavioral performance.

Cognitive impairment. Detected and tracked from speech. New state of the art. Using general-purpose AI — no fine-tuning required — we achieve 88.5% accuracy, 88.6% F1 against the Clinical Dementia Rating, the standard for dementia clinical trials. Among the first to show continuous severity tracking across all four CDR levels, not just binary detection. Applicable wherever cognition needs monitoring — dementia, TBI, and operational fatigue — when specialists and brain scanners are unavailable. Just a conversation.

Performance and Privacy. Both Non-Negotiable.

For tactical operators, clinical teams, and individuals alike — our platform is built for environments where neither can be compromised. Tiered privacy controls, transparent data quality, and end-to-end encryption options ensure your most sensitive data stays yours alone.


Readiness by TrekMH

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