OpalGenix, Inc.

Carmel, IN · Biotech · Private

A genetic risk prediction tool that analyzes patient genotypes to identify pregnant women with opioid use disorder at high risk for relapse and predict neonatal opioid withdrawal syndrome severity

Grants
$1.7M
5 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 · Avoiding Adverse Opioid Outcomes with Proactive Precision Care$374,447
Federal grantDepartment of Health and Human Services · Phase I · Avoiding Adverse Opioid Outcomes with Proactive Precision Care$55,000
Federal grantDepartment of Health and Human Services · Phase I · Reducing Opioid Use and Adverse Effects through Proactive Precision Pain Management Following Spine Surgery$326,500
Federal grantDepartment of Health and Human Services · Phase I · Predicting and Preventing Adverse Maternal and Child Outcomes of Opioid Use Disorder in Pregnancy$325,239
Federal grantDepartment of Health and Human Services · Phase I · Improving Analgesic Effectiveness and Safety with Proactive Precision Pain Management in Thoracic Surgical Patients with Lung Lesions$644,425
Federal grant · SBIR/STTR

Peer position

Biotech · 4373 companies · ranked on federal contract value
Biotech companies ranked by federal contract value
#CompanyContractsDisclosed equity
2247NOUR HEART, INC.——
2248NAPROGENIX, INC.——
2249BRIDGENE BIOSCIENCES, INC.——
2250OpalGenix, Inc.——
2251ProDa BioTech L.L.C.——
2252AUMENTA BIOSCIENCES, INC.——
2253General Reasoning, Inc.—$11M

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 · Biotech

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.