Dual-use human performance infrastructure

Know what the mission
is asking of the human.

Configurable data capture for nutrition, hydration, sleep, activity, fatigue, recovery, symptoms, and medications—structured into a mission-specific view for human-performance teams.

READINESS INDEX / ILLUSTRATIVE82 Within pilot range
Apple Health
Google Fit
Researcher-configurable
HIPAA-aligned platform
02 — The operational gap

The warfighter is a system. The data still isn't.

Nutrition lives in one log. Sleep lives on a wearable. Symptoms and medications surface after the fact. Mission context sits somewhere else.

Computing ReApplied provides the configurable capture layer that brings these signals into one study-defined model—so human-performance teams can test a question without first building a new app.

Input signals
Nutrition + hydration
Sleep + recovery
Activity + fatigue
Symptoms + medication
C‑RAConfigurable capture layer
Decision layer
Cohort dashboards
Readiness scoring
Pattern analysis
Structured export
03 — Capture layer

One configurable system.
Mission-specific evidence.

Start with the data your performance question requires. Add signals and scoring logic only when the pilot calls for them.

Nutrition + hydration

Timestamped food, recipe, barcode, fluid, and study-specific intake capture.

Sleep + recovery

Combine reported recovery with Apple Health and Google Fit-connected signals.

Fatigue + activity

Track longitudinal activity, perceived fatigue, and mission-window context.

Symptoms + medications

Capture participant-reported events alongside timing, severity, and medication context.

Connected inputs

Apple Health and Google Fit integration with configurable mobile workflows.

04 — Operational window

See the whole performance cycle.

Configure each pilot around the population, operational question, and measures that matter—not a fixed consumer wellness score.

Establish the individual baseline.

Capture the routines and recovery signals that shape mission-day performance before the operational window begins.

Study-defined measures Longitudinal capture Participant-level permissions
COHORT B‑07 / PRE-MISSION
Sleep consistency86%+6%
Hydration adherence91%+4%
Nutrition completion88%+11%
Illustrative data / pilot logic is program-configured
05 — Evidence foundation

Proven capture infrastructure.
A new mission context.

myMedDiary was built for rigorous real-world dietary and health research. That same architecture can support tightly scoped defense human-performance pilots—without claiming that civilian validation equals military validation.

Explore Computing ReApplied
48.5%

more brand-name foods captured than standard recall in a pediatric celiac pilot.

30×

improvement in home-recipe detail versus the comparison workflow.

100h → sec

manual conversion workload reduced to a structured digital pipeline.

06 — Mission relevance

The performance questions are already operational.

Public Air Force work is already connecting sleep, hydration, energy, fatigue, and recovery to aircrew performance. The opportunity is a flexible data layer that can be configured around the next question.

07 — Pilot blueprint

Start with one mission question.

Define the cohort, operating window, measures, and decision threshold. Computing ReApplied configures the capture experience and dashboard around it.

  1. 01

    Frame

    Mission question, cohort, outcomes, and study governance.

  2. 02

    Configure

    Inputs, workflows, integrations, dashboards, and scoring logic.

  3. 03

    Operate

    Deploy capture across the defined pre-, mission-, and recovery window.

  4. 04

    Evaluate

    Review data quality, operational utility, and next-phase requirements.

Commercial pilot environment

Security, data rights, hosting, and authorization requirements are scoped with each program. No DoD authorization is implied.

Computing ReApplied / Mission Systems

Ready to test the human side of readiness?

Bring us the performance question. We'll help shape the capture layer around it.

Start a pilot conversation