Dehaze
AI NativeDetecting and personally intervening chronic diseases before symptoms occur.
Est 2023|Valuation $330K
Published Oct 13, 2026
Organizations lacking data interoperability readiness (no FHIR strategy, poor data quality, or limited governance) may experience slow time-to-value.
Source basis: Dehaze’s patient/provider/payer targeting and data harmonization narrative — official vendor documentation and product overview pages.
Source: Dehaze solution sections and vendor-published metrics. (https://www.dehaze.de/)
No public customer case studies with named customers, quantified ROI, or implementation timelines were located on the accessible Dehaze web pages reviewed.
Dehaze lists partners such as a federal ministry, academic institutions, and accelerator programs. These partnerships suggest research support, accelerator participation, or collaboration, but they are not equivalent to deployed production case studies within health systems.
Source: Official vendor partners page (official vendor website).
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Primary need is ambient documentation or real-time scribing
Organization cannot support clinician review workflows
Immediate need for a large set of proven integrations
Limited budget for pilot or evaluation activities
Source: Dehaze public materials and described clinician review process. (https://www.dehaze.de/)
Dehaze does not appear to have significant coverage on major B2B review platforms (G2, TrustRadius, Gartner Peer Insights) under its exact name at the time of research.
Search results for “Dehaze” in community forums mostly relate to photo editing and image dehaze features (Lightroom/Photoshop/DaVinci Resolve) and are unrelated to the healthcare company. The vendor does maintain a LinkedIn presence that references a product called HealthPod and mentions collaborations with academic institutions and public organizations; LinkedIn content should be treated as marketing material and verified with contractual or public-documentation evidence.
Sources:
Based on the vendor’s patient/provider/payer messaging and the platform’s stated focus on longitudinal data:
Dehaze (Germany) describes its platform as an AI‑assisted clinical decision‑support system designed to identify potentially overlooked diagnoses, inappropriate treatments, and future health risks. The system aggregates heterogeneous patient health data (laboratory results, imaging, genomics, handwritten notes, discharge letters, etc.) into a longitudinal patient record (described by the vendor as a “patient journey”), then generates risk profiles and recommended follow‑ups that are intended to be reviewed by clinicians.
Key vendor‑published product metrics and claims include:
These figures are self‑published on the vendor site and are not accompanied by publicly available methodology (for example, definition of “health journey,” deduplication rules, what counts as a “health event,” external audit of counts, or model evaluation methods). These metrics should be treated as directional until independently validated.
Source: Official vendor website and product overview pages.
Dehaze targets three stakeholder segments:
This positioning places Dehaze closer to a care management / risk stratification and longitudinal record intelligence platform, rather than a pure ambient scribing or consumer symptom‑checker product.
Source: Official vendor website and product overview pages.