Nothing to charge
No watch. No ring. No extra gear to lose. DatumForce.ai is designed to run on the phone in your pocket using the sensors it already has.
DatumForce.ai is a proposed readiness tool for the phone you already carry. It would establish your baseline during the 120 days before deployment and show changes during the 120 days after you return. Raw data and individual modeling would stay on your phone.
Your sleep estimate has been above your baseline for 9 days.
A general check-in request. Never your score. Never details.
The proposed tool would use your own phone, with no wearable or routine self-report survey. Your raw inputs and individual model would stay on the device.
No watch. No ring. No extra gear to lose. DatumForce.ai is designed to run on the phone in your pocket using the sensors it already has.
No daily check-in forms. DatumForce.ai would read passive signals only: steps, sleep estimates, screen time, and Bluetooth proximity patterns. That is the whole list.
The design keeps raw inputs and individual modeling on your phone. Protected aggregate contributions and authorized buddy requests may leave it. Command would receive aggregates only, never your individual score. Geographic location is excluded.
DatumForce.ai is proposed for two windows: 120 days before deployment and 120 days after you return. Everything is measured against your own normal, not anyone else's.
Under the proposed approach, setup would establish permissions before sensing begins. Across the 120 days before deployment, DatumForce.ai would establish your personal baseline from passive phone inputs.
See your own score and trend. Only you can see it. For context, you also get a one-level-up unit aggregate, like your platoon's number if you are in a squad. Never peer scores.
For 120 days after you return, DatumForce.ai would compare readiness-related trends with your own pre-deployment baseline.
The full 120-day pre and post windows span at least 240 observation days plus the deployment period. DatumForce.ai would operate only where permitted and does not assume use during deployment.
Explore an illustrative score using sleep estimates, steps, and a sample routine indicator. The labeled values are a made-up baseline, not recommended targets. Move a slider to see how this demonstration responds.
These inputs match the illustrative baseline.
The proposed design would compute your baseline and score on your phone. Raw inputs and individual modeling would remain local; protected contributions to your unit's aggregate and the buddy requests you authorize may leave the phone.
Your score, your trend, your progress, and a one-level-up unit aggregate for context.
Command personnel would receive formation-level aggregates with minimum contributor counts and suppression. No individual access, by design.
Conceptual mockup. The proposed controls would suppress results with too few contributors. Minimum reporting groups and protection against repeated-query inference still require testing.
Up to five people you choose would receive a general check-in request. Even if one of them is your commander, they get the same generic message as everyone else.
Week 4 is suppressed: too few contributors. Small-group data is withheld to protect privacy.
Individual Soldier data is not available in this view.
Hey. A buddy who added you could use a check-in this week. A quick text or call goes a long way.
No score. No trend. No reason given. That is the whole message.
Whether phone-only signals can reliably track readiness-related change is an open research question. DatumForce.ai would abstain from reporting when evidence is insufficient.
The proposed progress system would recognize participation through streaks, XP, and badges. These illustrative rewards would stay separate from your readiness score.
Longest: 42 days
Choose up to five buddies. A friend, a sibling, a battle buddy, even your commander. The proposed tool could send a general check-in request to buddies you authorize. The trigger rules still require review; buddies would never receive your score or risk details.
The Military Crisis Line is free, confidential, and open 24/7. DatumForce.ai would put it one tap away at all times. It is always your call, and it never depends on your score.
DatumForce.ai is a proposed readiness tool from NGZ AI. It is designed to help the Army assess changes in readiness before and after deployment without requiring wearables, routine self-report, or command access to individual behavioral data. The concept is at TRL 2 (provisional). It is not built, not validated, and not a medical device.
Command personnel would receive aggregates only. A configurable parent-unit hierarchy selects the comparison group. It is not an individual or small-unit drill-down. Results would be suppressed when the parent group has too few contributors.
Example: a Soldier in a squad (lime) sees the platoon aggregate (olive). The hierarchy is configurable.
No wearables, no operational tests, no routine surveys, and no new hardware to issue or charge. DatumForce.ai would use passive signals from Soldiers' own phones: steps, sleep-related estimates, screen time, and Bluetooth proximity patterns.
Soldier: parent unit. Command: aggregates.
No peer scores or small-unit drill-downUp to 5 chosen buddies. Generic check-in only.
Never scores or risk detailsAvailable regardless of score or buddy response.
Dial 988, then press 1A one-page PDF for staff review that matches this site: problem, approach, privacy controls, proposed architecture, and status. Every statement is drawn from the xTech Search 10 white paper. v0.2 draft.
DatumForce.ai is a design concept. Nothing on this page represents a built, tested, or validated capability. Table 1 of the white paper defines feasibility tests, not achieved results.
Proposed success measures: adoption, data coverage, useful change identification, trust, battery burden, and unwanted disclosures.
DatumForce.ai is a distinct readiness concept from NGZ AI, Inc. Its proposed approach combines personal-phone baselines, on-device modeling, and protected aggregate insights for the periods before deployment and after return.
Proposed research collaborators span the University of Pennsylvania, William & Mary, and Stop Soldier Suicide. Roles and commitments for this new scope are pending confirmation.