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ThetaRho

Turns scattered clinical records into searchable data

Raised to date

$750K

of $1.5M offered across 1 Form D filing

Still open
$750K
Investors
8
Last filed
Apr 24, 2026

About

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.

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

  • Security to be acquiredFiled Apr 24, 2026Form D/A
    $750K/ $1.5M

Product

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

Built for

Health systems with interoperability problems, plus health tech developers, clinical AI startups, EHR vendors and HIE organizations building on top of patient data

People on file