Back to INEXION
For Federal · DoD · VA · DHA · AFWERX
Federal Analytics Contractor · De-Identified Data · VA-Precedented Architecture

The analytic layer for warfighter readiness and force health preservation.

INEXION delivers AI and machine-learning analytics that identify vulnerable service member populations, forecast trigger events that precede readiness degradation, and produce cost-aversion projections and evidence-graded intervention recommendations for DoD, VA, DHA, and federal contracting partners. No Protected Health Information ever crosses our boundary. The architecture matches VA Office of Research and Development precedent via Datavant tokenization on the quarterly DHA MHS Genesis feed.

Request the Federal Brief Warfighter Readiness Intelligence Demo (gated)
Access by request only. Password-gated, synthetic data. Government email required.
$3.7B
Annual DoD spend on musculoskeletal conditions alone
2 / 3
Of Air Force medical care occurs outside military treatment facilities
>92%
Of retention medical evaluations result in a non-retainable determination (WRAIR FY24)
The Problem

Force health decisions are made without seeing two-thirds of the picture.

Cardiometabolic decline during service, PTSD with cardiovascular comorbidity, musculoskeletal degradation, and traumatic brain injury with cognitive aging all follow measurable biomarker and behavioral trajectories months to years before clinical diagnosis. DoD medical systems instrument the data at the source but lack the analytics layer that converts continuous physiological, biomarker, and utilization signals into early, actionable readiness recommendations.

Compounding the visibility gap: roughly two-thirds of Air Force medical care occurs outside military treatment facilities. Commercial and retail healthcare data, prescription fills, and lab results generated outside MTFs are invisible to DoD's own systems today.

The consequence is a force health enterprise that acts on lagging clinical indicators rather than leading physiological signals, and that cannot easily quantify the cost of inaction or the return on early intervention in federal HEOR vocabulary.

The Framework

The strategic analytic layer underneath the DoD medical enterprise.

INEXION Warfighter Readiness Intelligence is a software analytics platform that ingests de-identified, tokenized extracts from DoD medical and operational systems (MHS Genesis, AFMED, DMSS, ILER, OPTML wearables, ASIMS), enriches them with commercial healthcare data covering the two-thirds of care outside MTFs, and returns individual-level, token-keyed risk scores and intervention recommendations.

DoD retains the identity key. INEXION operates only on de-identified extracts under Data Use Agreement. The receiving federal customer re-identifies inside its own enclave to act on individual recommendations. INEXION never handles Protected Health Information.

01
Vulnerable population identification

Phenotype clustering across active-duty, reserve, guard, and veteran-transitioning cohorts. Identifies high-risk cardiometabolic, PTSD-CVD, MSK, and TBI trajectories before clinical presentation.

02
Trigger event forecasting

Leading-indicator signals (HRV, sleep architecture, biomarker drift) mapped to lagging readiness outcomes. Forecasts events that precede readiness degradation months to years in advance.

03
Cost-aversion projection

Individual-level and cohort-level projections in QALYs and dollars-per-QALY, discounted at the OMB Circular A-94 3 percent standard rate, with Monte Carlo uncertainty quantification.

04
Intervention recommendation with timing

Evidence-graded recommendations keyed to published randomized-trial effect sizes. Each recommendation names the specific intervention and the optimal timing to apply it.

The Architecture

Federal-precedented. No PHI handling.

INEXION operates only on de-identified, tokenized data under HIPAA Expert Determination methodology. De-identification and tokenization occur inside the source enclave (DoD, VA, or partner) before any data reaches INEXION. Datavant provides the tokenization layer, matching the pattern already operating today at the VA Office of Research and Development via the Vinci partnership, with a quarterly DHA feed from MHS Genesis.

INEXION federal data-flow architecture. Source systems (MHS Genesis, AFMED, DMSS, ILER, OPTML, ASIMS) and Datavant de-identification and tokenization occur inside the DoD federal enclave. A de-identified, token-keyed extract transfers to the INEXION analytic environment under a Data Use Agreement, where AI and ML models produce individual-level risk scores and recommendations. Token-keyed recommendations return to the federal enclave, where the customer re-identifies and acts. The identity key never leaves the enclave; INEXION never handles PHI.

The identity key never leaves the federal enclave. INEXION never sees PHI. The analytic value flows freely. The action loop closes inside the enclave.

Why INEXION

Three differentiators claims-based platforms cannot replicate.

Cash-pay data foundation
IQVIA, Komodo, and Symphony are blind to the cash-pay longevity clinic population that INEXION's civilian partnerships cover. This population is the closest civilian analog to peak-fitness service members. Executed partnerships include Healthspan Los Angeles; pipeline partners include AgelessRx.
Federal-precedented compliance
No Protected Health Information handling. De-identification and tokenization inside the source enclave. The same architecture pattern the VA Vinci partnership already operates. A public-trust clearance contracting lane, rather than secret clearance, compresses onboarding.
Federal HEOR vocabulary
Recommendations reported in QALYs, dollars-per-QALY, and cost-aversion projections at the OMB Circular A-94 discount rate, with Monte Carlo uncertainty quantification. Federal reviewers and SBIR evaluators assess in this vocabulary. Operational dashboards from generic vendors do not.
Scope Boundary

INEXION is the analytic layer.

The Team

Operator-built. Clinically grounded. Federal-ready.

Ian Wendt
Ian Wendt
Founder & CEO
Three decades of biopharma commercial leadership across launch strategy, market access, and business development.
Na-Ri Oh
Na-Ri Oh, MD
Co-Founder & COO
Physician and global biopharma executive who bridges clinical medicine and commercial strategy. Practiced as an Infectious Disease physician before leading commercial and strategic planning initiatives across HIV, viral hepatitis, and liver disease at Boehringer Ingelheim and Gilead Sciences. Now leads INEXION's Department of Defense partnership as company liaison. Co-host of The RealPharma Podcast. Angel investor and LP at Black Canyon Ventures and VC Fellow at the Material Change Institute. MD, Heidelberg University.
Nirav Vira
Nirav Vira
CTO
Former architect of a 50-million-patient longitudinal EMR data lake. The technical lead who has built federal-scale de-identified analytic infrastructure.
Raghav Sehgal
Raghav Sehgal, PhD
Chief Scientific Officer
Yale research faculty in biological aging and epigenomics. Forbes 30 Under 30 (Healthcare, 2025). The scientific credibility federal HEOR reviewers respect.
Request the Federal Brief
See the full picture.
The INEXION federal analytics brief covers the data-safety architecture, readiness use cases, cost-aversion methodology, and how INEXION fits into your program.
Request Brief
Warfighter Readiness Intelligence Demo
Request demo access.
A gated environment showing individual-level readiness risk scoring, cost-aversion projections, and intervention timing on a synthetic force cohort. Password-gated. Government email required for access.
Request Access