Metriport Raises $26M Series A for Clinical Data Infrastructure

Metriport has raised a $26M Series A to expand the healthcare data infrastructure that turns fragmented patient records into structured clinical context. Matrix led the financing through general partner TJ Parker, with ARTIS and Y Combinator participating.

The August 27, 2026 announcement brings Metriport's company-reported total funding to $28.4M. The San Francisco company plans to scale its platform and expand its AI/ML and agentic capabilities while preserving the engineering and compliance controls required for sensitive health information.

The round matters because healthcare interoperability is changing shape. Connecting systems can make more records available, but clinicians and healthcare applications still need those records matched, standardized, deduplicated, and translated into the context required for the decision in front of them.

What Metriport's $26M Series A Funds

Metriport was founded in 2022 by CEO Dima Goncharov and COO Colin Elsinga. The company describes its platform as open-source healthcare data infrastructure for next-generation care delivery, connecting to health information exchanges, ADT networks, pharmacies, labs, and electronic health record systems.

Those connections produce records in different formats, with overlapping documents, inconsistent coding, and varying levels of structure. Metriport matches, extracts, standardizes, deduplicates, and enriches that material before converting it into a unified data model that customers can reach through an API, a data warehouse, or an application embedded in an EHR.

The Series A will support platform scale and expanded AI/ML and agentic capabilities. Metriport already offers medical-record summaries, condition suspecting, care-gap identification, and real-time alerts when patients move through the healthcare system, placing the company in the layer between raw access and the clinical or automated system that must use the information.

From Record Access to Clinical Context

The issuer announcement includes a concrete example from Sollis Health. A patient arrived with upper abdominal pain and remembered an endoscopy from years earlier, but could not recall the findings or the physician who performed it. Sollis says Metriport found the operative report, which showed an early ulcer, allowing the care team to begin treatment without ordering another CT scan or waiting for a manual records request.

That account is a customer testimonial presented by Metriport, not independent clinical-outcome evidence. It still illustrates the operating problem clearly: a record can exist somewhere in the healthcare system and remain functionally absent at the moment a clinician needs it.

Interoperability policy and exchange networks are improving access across institutions. The next commercial layer is usefulness, where a complete patient history becomes searchable, structured, and relevant enough to support care without forcing every provider to build its own data-processing operation.

Metriport's Company-Reported Scale

Metriport reports that its platform can reach records for more than 340M individuals across U.S. networks, connects with more than 750K providers, and processes 4.2B network requests each month. The company also says it can return a first structured record in under 15 seconds.

These are company-reported operating metrics and should be read as evidence of the infrastructure Metriport says it has built, not as audited market-share or clinical-performance measures. The company names Amazon One Medical, Sollis Health, Color Health, Strive Health, and Canvas Medical among organizations using the platform across care delivery, value-based care, and healthcare technology workflows.

The customer list gives the financing a specific commercial context. Healthcare organizations are not buying access to a database in the abstract; they are buying a way to make outside patient information usable inside an existing care, analytics, or software workflow.

Why Open Source Matters in Healthcare Data

Metriport's open-source approach is part of its trust argument. Patient matching, record normalization, and transformation influence what a clinician or an AI system ultimately sees, so the rules underneath the output carry clinical, security, and governance consequences.

Elsinga has argued that the management and transformation of patient information are too important to leave entirely inside a black box. Open source does not eliminate errors or establish correctness by itself, but it can make core logic more inspectable for customers evaluating how records are processed.

The company says it recently achieved HITRUST r2 certification. Its current security materials also list SOC 2 Type II, HIPAA compliance, encryption, audit logging, and role-based access controls. Metriport's general counsel says the company vets organizations before granting access to healthcare exchange networks, a reminder that broader connectivity also requires tighter controls over who can query sensitive records.

The Funding History and Investor Logic

The Series A follows Metriport's official $2.4M Seed round, announced in December 2022. The two disclosed rounds reconcile exactly with the company's $28.4M cumulative funding figure. Metriport did not disclose a valuation for the Series A.

Matrix is an early-stage venture firm that invests from company formation through Series A. Parker, a former PillPack founder and Amazon health executive, said the strongest consumer health companies he sees are increasingly working with Metriport and highlighted its technical execution, customer service, and compliance rigor.

ARTIS also lists Metriport in its healthcare-oriented portfolio, while Y Combinator has backed the company since its Summer 2022 batch. The syndicate suggests that investors see value in the infrastructure beneath visible healthcare AI applications, where access, normalization, provenance, and trust determine whether more advanced software has reliable context to work with.

What This Signals for Healthcare AI

Healthcare AI discussions often begin with the model, interface, or automated workflow. Metriport's financing points one layer lower, toward the data infrastructure that decides which records arrive, how duplicates are resolved, how codes are translated, and whether the resulting history can be traced back to its source.

That layer becomes more consequential as software moves from summarizing records to supporting or initiating actions. A model can be sophisticated and still produce a poor answer when the patient history is incomplete, mismatched, stale, or stripped of provenance.

Metriport now has $26M to expand the system that sits before that answer. Its opportunity is to make usable longitudinal context easier to obtain across care settings while preserving the accuracy, access controls, and transparency required when a missing record can change a clinical decision.