PhotoniCare, Inc.

Durham, NC · Founded 2013 · CIK 0001645671 · Medtech · Private

TOMi Scope, a handheld optical imaging device for middle ear diagnosis with integrated machine learning for image guidance and diagnostic classification

photonicare.com →
Grants
$11M
11 awards
Sector median: 1
Raised
$19M
8 Form D · Nov 2024
22 months since last filing
Contracts
—
No federal contracts on record
Patents
15
4 granted · 11 pending
Sector median: 2

Capital Timeline

Federal above the line · equity below · node area scaled to amount
Capital and federal award history
DateEventSourceAmount
Private capital raisedForm D · SEC$250,000
Federal grantDepartment of Health and Human Services · Phase II · Quantitative Optical Assessment of Middle Ear Disease$803,507
Federal grantNational Science Foundation · Phase I · SBIR Phase I: Simplified Pneumatic Otoscopy$150,000
Federal grantDepartment of Health and Human Services · Phase II · Quantitative Optical Assessment of Middle Ear Disease$739,334
Private capital raisedForm D · SEC$751,206
Federal grantDepartment of Health and Human Services · Phase II · Clinical Evaluation of a New Middle Ear Diagnostic to Support FDA Regulatory Clearance$2,214,711
Federal grantDepartment of Health and Human Services · Phase II · Clinical Evaluation of a New Middle Ear Diagnostic to Support FDA Regulatory Clearance$1,126,043
Federal grantDepartment of Health and Human Services · Phase II · Clinical Evaluation of a New Middle Ear Diagnostic to Support FDA Regulatory Clearance$1,088,668
Federal grantDepartment of Health and Human Services · Phase I · Development and Evaluation of a Machine Learning Approach to Interpret Optical Coherence Tomography Images of the Middle Ear to Improve Antibiotic Management$223,899
Federal grantDepartment of Health and Human Services · Phase I · Development and Evaluation of a Machine Learning Approach to Interpret Optical Coherence Tomography Images of the Middle Ear to Improve Antibiotic Management$223,899
Private capital raisedForm D · SEC$260,800
Federal grant· 1 of 2 same dayDepartment of Health and Human Services · Phase II · Clinical Development and Evaluation of a Deep Learning Approach to Improve Diagnostic Accuracy$1,136,886
Federal grant· 2 of 2 same dayDepartment of Health and Human Services · Phase II · Clinical Development and Evaluation of a Deep Learning Approach to Improve Diagnostic Accuracy$2,152,584
Private capital raisedForm D · SEC$6,276,106
Federal grantDepartment of Health and Human Services · Phase II · Clinical Development and Evaluation of a Deep Learning Approach to Improve Diagnostic Accuracy$1,015,698
Private capital raisedForm D · SEC$1,250,000
Private capital raisedForm D · SEC$1,119,000
Private capital raisedForm D · SEC$4,030,987
Private capital raisedForm D · SEC$4,616,108
Federal grant · SBIR/STTRForm D · SEC

Peer position

Medtech · 4531 companies · ranked on federal contract value
Medtech companies ranked by federal contract value
#CompanyContractsDisclosed equity
1042BIOMEDICA MANAGEMENT CORPORATION—$300K
1043Lazurite Inc.—$9.1M
10442nd Skull, Inc.—$3.0M
1045PhotoniCare, Inc.—$19M
1046Stryd, Inc.—$505K
1047Kestrel Labs Inc——
1048KATHAROS, 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.

Founders & Team

From Form D filings · 18 related persons
  • Eric BensonExecutive Officer
  • Stephen BoppartExecutive Officer
  • Gary DurackDirector
  • Pablo GonzalezDirector
  • Dale GroganDirector
  • Dr. Zishan HaroonDirector
  • Zishan HaroonDirector
  • Jeff HydarExecutive Officer
  • Angela McFarlandExecutive Officer
  • Steve MeyerDirector
  • Ryan NolanDirector
  • Christian RenaudinDirector
  • Ryan SheltonDirector · Executive Officer
  • Jon SoderbergDirector
  • Jon SunthimerDirector
  • Cary VanceDirector · Executive Officer
  • Joel WeinsteinDirector
  • Patrick ZellerDirector

Patents

USPTO · 4 granted of 15

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.