Dyania Health
Dyania’s proprietary Synapsis AI reads an EMR in 0.5 seconds. The time saved is the difference that saves patient lives.
Est 2019
Dyania’s proprietary Synapsis AI reads an EMR in 0.5 seconds. The time saved is the difference that saves patient lives.
Published Jul 15, 2026
Dyania's differentiation is its vendor-positioned behind-the-firewall model and protocol-specific reasoning over longitudinal EMR records. TriNetX is oriented to multi-institution, de-identified network cohort discovery while Medable focuses on operational trial tooling for decentralized trials. Organizations should require like-for-like pilots when assessing claims across vendors.
Public adoption metrics for Dyania are limited. Evidence of traction includes partnership announcements with a major health system, recent financing activity, and industry recognition. No independent market share reports were identified in the public domain during this research.
| Starting Price | Not public (enterprise quote) | Not public (enterprise quote; institution-dependent) | Not public (custom quote) |
| Primary use case | Site-level EHR chart review automation for trial matching and registry abstraction (vendor positioning) | Networked cohort discovery and feasibility across institutions | Trial operations and decentralized/hybrid trial execution |
| Key strength | Vendor-reported speed and behind-the-firewall deployment posture; vendor-reported pilot outcomes with a large health system partner | Large network and de-identified data for multi-site feasibility; network effects | Mature trial operations platform for decentralized and hybrid workflows |
| Key weakness | Limited independent public review footprint; lack of published pricing and limited formal third-party validation in peer-reviewed venues | Governance and data availability vary by site; may not provide on-prem EHR reasoning | Not primarily an EMR-native chart reasoning engine; different primary focus |
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