Detect Сhronic Disease Risk before symptoms appear
Validated on 4,018 CDC patients. F1 up to 0.963 across 5 AI models. 6.3×employer ROI.
Key Problem
Employer Healthcare Is Broken: most conditions are detected too late — when they’re already expensive. Existing wellness programs measure steps, not disease risk
Employer Healthcare Is Broken: most conditions are detected too late — when they're already expensive. Existing wellness programs measure steps, not disease risk
Validated on 4,018 CDC patients. F1 up to 0.963 across 5 AI models. 6.3×employer ROI.
The Solution
From Routine Blood Work to Early Detection
No new tests, no on-site clinics, no hardware. Zenlo turns existing lab results into actionable health intelligence.
01 - Upload
02 - Analyze
PDF → 98 biomarkers parsed
Employees upload routine blood work — any lab PDF
F1 = 0.963 · 5 AI models
AI cross-references 98 biomarkers across 15 clinical patterns
04 - Act
03 - Alert
Zero individual PHI exposed
Employees get insights. Employers see aggregate risk only
26× cost gap → caught early
Targeted intervention — only those who need it get enrolled.
vs $0 return on reactive care
6.3× employer ROI
employer ROI
replaces $ 30−45 in point solutions
PMPM
vs 5 in biometric screening
biomarkers
Two Products, One Platform
Built for Both Sides of the Table
Employees get personal health intelligence. Employers get aggregate population insights. Same data, completely different views.
And it’s completely secure — employer sees only headcount, risks, averages, sum only. Zero personal health information.
For Your Employees
Customer App
Personalized action plans
Biological age calculation & trend tracking
15 clinical patterns detection with AI explanations
Upload any lab PDF — parsed into 98 biomarkers
For HR & Leadership
Employer Dashboard
Quarterly PDF reports for CFO review
ROI & Savings calculator with ICD-10 mapping
Department engagement tracking & enrollment
Population health overview — aggregate risk by category
Clinical Evidence
Not marketing claims — published data, validated on real CDC patients. Tested across 5 AI models. Published on medRxiv, under peer review at JAMIA Open.
$0.001
Per Patient
10,000× cheaper than consumer
4 018
CDC Patients
NHANES 2017-2018 cohort
93.2%
Sensitivity
Catches 93 of 100 at-risk
0.963
F1 Score
Best across 5 models (Grok-3)
evidence you can verify yourself
PREPRINT
•
medRxiv
•
Feb 2026
Multi-Model AI Benchmark on 4,018 CDC NHANES Patients
DOI: 10.64898/2026.02.13.26346284
5 AI Models
F1 = 0.963
CC-BY 4.0
PEER REVIEW
•
JAMIA Open
•
IF 3.4
Submitted to JAMIA Open — Oxford University Press
Peer-Reviewed
$0 Open Access
OUP
ARTICLE
•
medium
•
Feb 2026
We Tested 5 AI Models on 4,018 Real Patients
Public
Methodology
Every claim links to a public source. No gated PDFs. Open science for open decisions.