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Computable Publishing

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Computable Publishing is a US-based company behind the FEvIR Platform, which makes scientific knowledge machine-interpretable.

Last updated September 28, 2026

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Overview

Computable Publishing is a United States company based in Ipswich, Massachusetts, according to Wikidata. It operates the FEvIR Platform, a technology offering whose stated purpose is 'Making science machine-interpretable.' The company sits at the intersection of scientific publishing, health informatics, and data interoperability, aiming to convert research findings and evidence into structured, computable formats that software systems can process directly. The FEvIR Platform is the company's flagship product. FEvIR stands for Fast Evidence Interoperability Resources, a framework designed to represent clinical and scientific evidence using modern data standards such as FHIR (Fast Healthcare Interoperability Resources). By structuring evidence as computable resources, the platform seeks to enable automated reasoning, evidence synthesis, and decision support across healthcare and research workflows. Computable Publishing targets researchers, guideline developers, systematic reviewers, health informatics professionals, and healthcare technology vendors who need evidence to be reusable by machines rather than locked in narrative documents. Its positioning emphasizes interoperability and the transformation of static publications into dynamic, queryable knowledge assets. As a small, privately held company, Computable Publishing does not disclose detailed financial information or a public listing. Its public presence centers on the FEvIR Platform and related tools for computable evidence. The company's work aligns with broader movements toward FAIR data principles and computable biomedical knowledge, positioning it as a niche player in the health data and scientific publishing technology space.

History

Computable Publishing is a United States company located in Ipswich, Massachusetts, as recorded in Wikidata. Public information about its founding date, founders, and early history is limited. The company is known primarily for developing and operating the FEvIR Platform, a technology initiative whose mission is summarized on its website as 'Making science machine-interpretable.' The FEvIR Platform represents the company's core contribution to the field of computable biomedical knowledge. FEvIR, which stands for Fast Evidence Interoperability Resources, is designed to express scientific evidence in structured, standards-based formats—particularly leveraging HL7 FHIR—so that evidence can be processed, queried, and reasoned over by software. This approach contrasts with traditional narrative publishing, where findings are locked in prose and tables that require manual interpretation. By building tools and resources around computable evidence, Computable Publishing addresses a recognized gap in healthcare and research: the difficulty of scaling evidence synthesis and keeping clinical guidance current. The company's work intersects with initiatives such as evidence-based medicine, clinical decision support, systematic review automation, and the FAIR (Findable, Accessible, Interoperable, Reusable) data principles. As a small private company, Computable Publishing maintains a low public profile. It does not appear to be publicly traded, and detailed corporate histories, funding rounds, or revenue figures are not publicly available. Its identity in public knowledge bases such as Wikidata is minimal, listing it simply as a company in Ipswich, United States. The FEvIR Platform remains the primary lens through which the company is known, and its ongoing development likely continues to shape the company's trajectory in the health informatics and scientific publishing technology markets.

Products and positioning

A niche technology provider focused on making scientific and clinical evidence machine-interpretable through interoperable data standards.

  • FEvIR Platform

    A platform for making scientific evidence machine-interpretable, using interoperable data standards such as FHIR.

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