ASTERION AI INC.

Medtech · Private

EEG-based machine learning algorithm for rapid large vessel occlusion (LVO) stroke diagnosis in pre-hospital settings

Grants
$1.5M
2 awards
Sector median: 1
Raised
—
No Form D on record
Contracts
—
No federal contracts on record
Patents
7
1 granted · 6 pending
Sector median: 2

Capital Timeline

Federal above the line · equity below · node area scaled to amount
Capital and federal award history
DateEventSourceAmount
Federal grantNational Science Foundation · Phase I · SBIR Phase I: Pre-Hospital Detection of Large Vessel Occlusion Strokes$255,999
Federal grantNational Science Foundation · Phase II · SBIR Phase II: Pre-Hospital Detection of Large Vessel Occlusion Strokes$1,249,995
Federal grant · SBIR/STTR

Peer position

Medtech · 4531 companies · ranked on federal contract value
Medtech companies ranked by federal contract value
#CompanyContractsDisclosed equity
1505Mozarc Medical Management Holding LLC—$22M
1506GENTURI, INC.——
1507Onnix Global Inc.—$30M
1508ASTERION AI INC.——
1509Mindset Integrated Co—$500K
1510COGMETRIC, LLC——
1511Rochal Industries, LLC——

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.

Patents

USPTO · 1 granted of 7
  • Stroke Prediction Multi-architecture Stacked Ensemble Supermodelapplication
  • Stroke Prediction Multi-architecture Stacked Ensemble Supermodelgranted
  • Radiography-concurrent Dynamic Electropotential Neuroactivity Monitorapplication
  • Realtime Cross-Modality Spatial Brain Activity Intervention Guidanceapplication
  • Radiography-concurrent Dynamic Electropotential Neuroactivity Monitorapplication
  • Stroke Prediction Multi-architecture Stacked Ensemble Supermodelapplication
  • Field EEG Stroke Progression Detectionapplication

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.