
Dynaccurate is a health informatics company founded by a team of bioinformatics experts who aim to integrate new technologies into clinical applications to break down data silos. Their vision is to make health data accessible to patients, clinicians, and researchers while ensuring full compliance and data protection. The company utilizes Artificial Intelligence, Blockchain, and Terminology Management to achieve data harmonization, federation, provenance, and consent. Dynaccurate offers modular clinical applications that can be used standalone or as a reinforcing framework, including an Electronic Patient Record (EPR) enhanced with AI auto-coding, a Chemotherapy module co-designed with oncologists, DyMap for terminology and data mapping, and a Blockchain Consent Manager for dynamic consent and data de-identification. Their technology is primarily built on Microsoft Azure and offered as online SaaS products.

Dynaccurate is a health informatics company founded by a team of bioinformatics experts who aim to integrate new technologies into clinical applications to break down data silos. Their vision is to make health data accessible to patients, clinicians, and researchers while ensuring full compliance and data protection. The company utilizes Artificial Intelligence, Blockchain, and Terminology Management to achieve data harmonization, federation, provenance, and consent. Dynaccurate offers modular clinical applications that can be used standalone or as a reinforcing framework, including an Electronic Patient Record (EPR) enhanced with AI auto-coding, a Chemotherapy module co-designed with oncologists, DyMap for terminology and data mapping, and a Blockchain Consent Manager for dynamic consent and data de-identification. Their technology is primarily built on Microsoft Azure and offered as online SaaS products.
Headquarters: Luxembourg (Esch-sur-Alzette listed)
Founded: May 2021
Core product: AI-driven semantic interoperability for clinical data (EPR, auto-coding, terminology management)
Tech: AI, Blockchain, Terminology Management; Microsoft Azure; SaaS
Team size: ~5 employees (company site)
Funding: Seed rounds recorded; total reported ≈ $370K (Dec 2021 listed)
Clinical data interoperability, semantic harmonization, provenance, consent management, and AI-assisted clinical coding.
2021
Health technology / Health informatics
Seed round recorded on company profiles (amount obfuscated in public records)
370000.00
Seed round recorded on company profiles; total funding reported as 370000.00 USD