DELFINA CARE INC.

SAN FRANCISCO, CA · Founded 2020 · Digital health · Private

BotoML: a dynamic machine learning model that predicts hypertensive disorders of pregnancy by integrating remote blood pressure monitoring data with electronic health records, updating predictions thr

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Updated · delfina.com

Sector
Digital health
Headquarters
SAN FRANCISCO, CA
Founded
2020
Latest Form D
$17.4M, Feb 2025
Total capital
$25.2M
Federal grants
$537K
2 awards · 2023
Rank in peer group#15 of 42
Private capital raised
$24.7M
4 Form D · last Feb 2025
20 months since last filing
Federal contracts
None on recordNo federal contract awards found.
Granted patents
0
7 pending

Capital timeline

20212022202320242025FEDERAL ↑EQUITY ↓Cumulative $25.2M$261K$276K2nd Form D$600K3rd Form D$6.1M4th Form D$17.4M
20212022202320242025FEDERAL ↑EQUITY ↓Cumulative $25.2M$261K$276K3rd Form D$6.1M4th Form D$17.4M

Latest events

  • Private capital raisedForm D · SEC · 4th filing$17.4M
  • Federal grantHealth and Human S · Phase I · Leveraging remote blood pressure monitoring and interpretable machine learning to improve clinical workflows for hypertensive disorders of pregnancy$276K
  • Federal grantHealth and Human S · Phase I · A machine learning based fetal monitoring system to predict and prevent fetal hypoxia.$261K
  • Private capital raisedForm D · SEC · 3rd filing$6.1M
  • Private capital raisedForm D · SEC · 2nd filing$600K
  • Private capital raisedForm D · SEC · 1st filing$550K

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.

Standing among 42 peers

Line = median

Digital health · Software

  • Federal grants#15 · top 36%

Cumulative measures favor older companies. Rankings describe position today, not outcome. Below the median, ranks show as a band rather than a number.

Founders and team

Researcher links verified by same-company patents and grants
  • Isabel FulcherResearcherDirectorLinked by $276K in grants as PI
  • Ali EbrahimExecutive Officer, DirectorNamed in SEC Form D filings
  • Bonnie ZellDirectorNamed in SEC Form D filings
  • Dafina TonchevaDirectorNamed in SEC Form D filings
  • Jacob YormakDirectorNamed in SEC Form D filings
  • Senan EbrahimExecutive Officer, DirectorNamed in SEC Form D filings

What it has protected

USPTO · 0 granted of 7
  • PendingPrediction Models For Early Identification Of Pregnancy DisordersUSPTOApplication 18389192
  • PendingPrediction Models For Early Identification Of Pregnancy DisordersUSPTOApplication 18988453
  • PendingMachine Learning For Predicting Hypertensive Disorders In PregnanciesUSPTOApplication PCTUS2024050323
Show all 7 patent records
  • Prediction Models For Early Identification Of Pregnancy DisordersMay 15, 2025 · Application 18389192Pending
  • Prediction Models For Early Identification Of Pregnancy DisordersApr 24, 2025 · Application 18988453Pending
  • Machine Learning For Predicting Hypertensive Disorders In PregnanciesApplication PCTUS2024050323Pending
  • Prediction Models For Early Identification Of Pregncy DisordersApplication PCTUS2023037217Pending
  • Prediction models for early identification of pregnancy disordersApplication 63424717Pending
  • Machine-learning For Detecting Hypertensive Disorders In PregnanciesApplication 63608028Pending
  • Machine Learning For Detecting Hypertensive Disorders In PregnanciesApplication 18874700Pending
  • IMMERSIVE TECH, INC.Similar federal contract value in Digital health · null in contracts
  • NEUROBEHAVIORAL SYSTEMS, INC.Similar federal contract value in Digital health · null in contracts
  • SageSurfer IncSimilar federal contract value in Digital health · null in contracts
  • NOVELTY FILMS, INCSimilar federal contract value in Digital health · null in contracts
  • InPractice, Inc.Similar federal contract value in Digital health · null in contracts
  • TAKEOFF41, 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 .