Health Outlook Corp

NEW YORK, NY · Founded 2021 · Digital health · Private

Machine learning platform for health outcome prediction using life sciences data

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Updated · healthoutlook.com

Sector
Digital health
Headquarters
NEW YORK, NY
Founded
2021
Latest Form D
$1.4M, Aug 2024
Total capital
$13.8M
Federal grants
None on recordNo awards found in SBIR/STTR, NIH, NSF or DoD records.
Private capital raised
$13.8M
4 Form D · last Aug 2024
26 months since last filing
Federal contracts
None on recordNo federal contract awards found.
Granted patents
0
5 pending

Capital timeline

202220232024FEDERAL ↑EQUITY ↓Cumulative $13.8M1st Form D$5.6M2nd Form D$4M3rd Form D$2.9M4th Form D$1.4M
202220232024FEDERAL ↑EQUITY ↓Cumulative $13.8M1st Form D$5.6M

Latest events

  • Private capital raisedForm D · SEC · 4th filing$1.4M
  • Private capital raisedForm D · SEC · 3rd filing$2.9M
  • Private capital raisedForm D · SEC · 2nd filing$4M
  • Private capital raisedForm D · SEC · 1st filing$5.6M

Node area is scaled to amount. Form D reports securities sold, which can differ from an announced round; filings are numbered in the order they were made.

Founders and team

From SEC Form D filings
  • Adam W. MorganDirectorNamed in SEC Form D filings
  • Howard W. SamsExecutive Officer, DirectorNamed in SEC Form D filings
  • John W. RydzewskiDirectorNamed in SEC Form D filings
  • Joseph KonowieckiDirectorNamed in SEC Form D filings
  • Peter W. KoerteDirectorNamed in SEC Form D filings
  • Tadd W. WesselDirectorNamed in SEC Form D filings
Show all 7 people
  • Tim OplerExecutive Officer, DirectorNamed in SEC Form D filings

What it has protected

USPTO · 0 granted of 5
  • PendingSystems And Methods For Using Machine-learning To Predict Patient Health CharacteristicsUSPTOApplication 18742803
  • PendingSystems And Methods For Using Machine-learning To Predict Patient Health CharacteristicsUSPTOApplication PCTUS2024034058
  • PendingProteomic Prediction Of Mortality RiskUSPTOApplication 63659177
Show all 5 patent records
  • Systems And Methods For Using Machine-learning To Predict Patient Health CharacteristicsDec 19, 2024 · Application 18742803Pending
  • Systems And Methods For Using Machine-learning To Predict Patient Health CharacteristicsApplication PCTUS2024034058Pending
  • Proteomic Prediction Of Mortality RiskApplication 63659177Pending
  • Systems And Methods For Using Machine-learning To Predict Patient Health CharacteristicsApplication 63555730Pending
  • Systems And Methods For Using Machine-learning To Predict Patient Health CharacteristicsApplication 63508582Pending
  • HEALTH RHYTHMS, INC.Similar federal contract value in Digital health · null in contracts
  • MedWatch Technologies, Inc.Similar federal contract value in Digital health · null in contracts
  • Entelai LLCSimilar federal contract value in Digital health · null in contracts
  • Claritas Rx Inc.Similar federal contract value in Digital health · null in contracts
  • Eye C Better Corp.Similar federal contract value in Digital health · null in contracts
  • Percipio Health, Inc.Similar federal contract value in Digital health · null in contracts

Regulatory activity · Digital health

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.

Sources

Federal grants from SBIR/STTR, NIH, NSF and DoD records. Federal contracts from USAspending.gov. Private capital from SEC Form D. Patents from USPTO. Publications from OpenAlex. Regulatory activity from the Federal Register. Press matched on company name.

How to read this page

Figures show associations in public records, not causes or predictions. Nothing here is investment advice. An em-dash means no record was found under this company's name, not that none exists.

Data freshness

SEC Form D filings through . SBIR and STTR awards through .