RecoverX
Organizes, advances and deploys the world’s medical evidence and accelerate equitable science-based care.
| Date | Investors | Amount | Round |
|---|---|---|---|
* | N/A | Seed | |
| Total Funding | 000k | ||
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RecoverX, established in 2021 and based in San Francisco, is a health-tech company focused on improving clinical decision-making for healthcare providers. The firm operates by developing an evidence-grounded artificial intelligence platform designed to augment, rather than replace, human medical expertise. The core of its business is to integrate AI with computational evidence, established medical guidelines, and structured knowledge to enhance healthcare delivery and research. Strategic partnerships are a key component of its structure, most notably with Health2047, the Silicon Valley-based innovation subsidiary of the American Medical Association (AMA).
The company's business model is centered on providing its AI-powered platforms as a service to the healthcare industry. Its target clients include hospitals, research institutions, and clinicians. Revenue is generated through products that address critical needs such as streamlining the prior authorization process, scaling the application of treatment guidelines, and enriching real-world data for evidence-based research. Its offerings aim to deliver benefits across what it terms the "quintuple aim" of healthcare: improving patient experience, enhancing population health, reducing costs, ensuring clinician well-being, and promoting health equity.
RecoverX's product suite includes the Computational Evidence Platform (CEP) and Glass. The CEP is designed to scale the use of evidence-based practices in both clinical settings and research environments. Glass is a tool that integrates directly with Electronic Health Records (EHR) to provide clinicians with real-time, contextualized chart summaries and decision support. By structuring its AI on referenceable scientific evidence and expert knowledge, the platform aims to provide trustworthy and controllable assistance directly within the clinical workflow.
Keywords: health AI, clinical decision support, evidence-based medicine, computational evidence, healthcare technology, chart summarization, prior authorization, treatment guidelines, real-world evidence, EHR integration, medical AI, clinical workflow, health equity, augmented decisioning, Health2047, American Medical Association, computational reasoning, structured medical knowledge