For self-insured employers
Detect chronic disease risk before symptoms appear — from lab work your workforce already has.
✓ 4,018 NHANES adults · F1 up to 0.963✓ 6.3× employer ROI✓ $2 PMPM pilot✓ Aggregate-only · zero individual PHI
Employers see headcount, risk rates, and averages — never individual lab values or diagnoses.
Key problem
Most chronic conditions are detected too late — when they are already expensive to treat. Traditional wellness programs measure steps and engagement, not laboratory disease risk. Zenlo reads routine blood work your plan already pays for and surfaces pattern-level risk earlier, so HR and benefits leaders can intervene when prevention still pays off.
The solution
No new tests, no on-site clinics, no hardware. Zenlo turns existing lab results into actionable health intelligence — for employees personally, and for employers in aggregate only.
How it works
Four steps from a PDF to population action. Employers never receive individual PHI — only k-anonymous aggregates.
Employees upload routine blood work — any lab PDF. Values are parsed into 102 biomarkers and mapped to reference ranges.
PDF → structured panelThe clinical engine cross-references biomarkers against 15 clinical patterns with physician-grade detection tiers.
5-model benchmark · NHANES-validated coreEmployees receive personal insights. Employers see aggregate risk by pattern and department — zero individual PHI exposed.
Aggregate dashboards onlyTargeted intervention for cohorts that need it — not blanket programs. Pilot pricing at $2 PMPM with modeled 6.3× employer ROI.
$2 PMPM · 6.3× ROI15 clinical patterns. 8 benchmarked across 5 AI models on 4,018 NHANES adults (F1 up to 0.963). Per-pattern NHANES audits published for 2 (Insulin Resistance, Metabolic Syndrome); the rest are structural CHAI cards, validation in progress.
Two products · one platform
Employees get personal health intelligence. Employers get aggregate population insights. Same underlying engine — completely different views.
Completely secure by architecture: employers see only headcount, cohort risk rates, and averages. No names, no line-level labs, no diagnoses exported to HR.
Clinical evidence
Validated on real population data. Tested across five frontier models and four providers. We publish methodology openly — no gated PDFs.
15 clinical patterns. 8 benchmarked across 5 AI models on 4,018 NHANES adults (F1 up to 0.963). Per-pattern NHANES audits published for 2 (Insulin Resistance, Metabolic Syndrome); the rest are structural CHAI cards, validation in progress.
→ medRxiv preprint (DOI 10.64898/2026.02.13.26346284)→ JAMIA Open · under peer review→ Medium · methodology article→ Validation audits on zenlo.app
Get started
Book a 15-minute discovery call — we will map Zenlo to your claims and benefits data. Or start a 90-day pilot: measurable ROI, no lock-in, $2 PMPM.