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ThetaRho

2 viewers · 30d

Total raised

$750K

1 filing since 2025 · latest SAFE filed

Cumulative raised
LAST ROUND
SAFE · $750K
ROUNDS
1
INVESTORS
8
FOUNDED
2023
HQ
Santa Clara, CA
SECTOR
Healthcare
EMPLOYEES
N/A
30D VIEWERS
2

AI overview

Updated

ThetaRho is a Santa Clara, California company building AI infrastructure for healthcare data. Its platform ingests fragmented clinical data - EHR records, faxed PDFs, scanned images, CCDA documents, HL7 messages and free-text notes - de-duplicates patient records and outputs standardized FHIR R4 resources. An AI layer on top turns that normalized data into queryable clinical knowledge using semantic search, medical ontology mapping and grounded LLM question answering with source citations. The company sells the result as APIs and infrastructure to developers and health systems, and as finished clinical applications to physicians.

What sets it apart

A single three-layer stack that spans raw multi-format healthcare data ingestion through to clinician-facing applications, so the same pipeline that normalizes records to FHIR R4 also powers grounded, citation-traceable clinical answers inside an existing EHR workflow.

Funding history

1 round
SAFE+1May 7, 2025
Form D/A
+$750K$750K total

Latest SEC filings

via EDGAR · CIK 0001991470
Form D/A · May 7, 2025View on EDGAR

Products

1 tracked

ThetaRho Clinical Intelligence Platform

Healthcare data infrastructure and clinical AI platform

An AI-first clinical intelligence platform organized in three layers: a data integration layer that ingests EHR feeds, PDFs, HL7, CCDA and scanned images and emits clean FHIR R4; an AI intelligence layer that adds semantic search, medical ontology mapping and grounded clinical question answering; and an application layer that delivers production clinical apps.

  • Multi-format ingestion (EHR, PDF, HL7, CCDA, scanned images) with patient record de-duplication
  • Clean FHIR R4 API output
  • Cross-system connectivity via CommonWell and TEFCA, plus real-time HIE feeds
  • Medical ontology mapping across RxNorm, SNOMED CT and LOINC