SUPERIOR STATISTICAL RESEARCH LLC

Sioux Center, IA · Medtech

Wastewater-based epidemiology platform that detects viral pathogens (SARS-CoV-2 and others) via genomic signatures in wastewater to predict outbreak timing, location, and severity

Grants
$886K
4 awards
Sector median: 1
Raised
—
No Form D on record
Contracts
—
No federal contracts on record
Patents
—
No published records under this name
Sector median: 2

Capital Timeline

Federal above the line · equity below · node area scaled to amount
Capital and federal award history
DateEventSourceAmount
Federal grantDepartment of Health and Human Services · Phase I · Large-scale data integration and harmonization to accurately predict sites facing future health-based drinking water crises$256,579
Federal grant· 1 of 2 same dayDepartment of Health and Human Services · Phase I · Wastewater data integration and modelling to accurately predict community and organizational outbreaks due to viral pathogens$259,613
Federal grant· 2 of 2 same dayDepartment of Health and Human Services · Phase I · Wastewater data integration and modelling to accurately predict community and organizational outbreaks due to viral pathogens$314,613
Federal grantDepartment of Health and Human Services · Phase I · Wastewater data integration and modelling to accurately predict community and organizational outbreaks due to viral pathogens$55,000
Federal grant · SBIR/STTR

Peer position

Medtech · 4531 companies · ranked on federal contract value
Medtech companies ranked by federal contract value
#CompanyContractsDisclosed equity
693BIOLIGHT ENGINEERING LLC——
694INNOVATIONS UNLIMITED LLC——
695LIFE SERVICES, LLC——
696SUPERIOR STATISTICAL RESEARCH LLC——
697OTIS DENTAL, LLC——
698IBS Caribe, Inc.——
699RT CARDIAC SYSTEMS INC.——

Ranked on federal contract value rather than capital raised. The equity column is the comparison worth making — companies at the same procurement position often sit at very different points in their funding history.

Regulatory activity · Medtech

Sector-level, not company-level

Rules are matched to sector, not to company. Recent activity in a sector is context rather than a signal about this business — until rules are matched to what a company actually builds, the section is shown as context and nothing more.