Deemea
AI NativeGet insights from your imaging data
Est 2020|Valuation $7.9M|Raised $12.3M
Published Aug 18, 2026
No public product roadmap with dated commitments was found in the accessed materials.
No public benchmarks (e.g., images/day processed, TB per site, concurrent reader capacity) were located in the accessible sources.
Practical implication: lack of organic community discussion can reflect a niche enterprise market and sales-driven buying motion, but it also reduces the availability of peer validation in public forums.
No formal, named Deemea case studies with customer names, implementation timelines, and independently verifiable outcomes were found in the accessed sources.
The vendor’s public social channel posts include statements of productivity and timeline improvements; these are not accompanied by verifiable methodology or named customers and should be treated as vendor-provided metrics pending validation in a pilot engagement. (Public vendor social media post)
Likely best-fit organizations:
Deemea’s public company size indicates a small vendor organization, suggesting higher-touch implementations rather than a self-serve SMB model. (Company public profile)
Get a comprehensive analysis of Deemea including market position, competitive landscape, adoption trends, and peer benchmarks.
Download full report →Vendor and investor materials reference interoperability and APIs, but public technical documentation or developer guides were not located in the accessed sources. Buyers should request API documentation, integration guides, and example implementations during technical due diligence. (https://www.karista.vc/stories/deemea-announces-a-eu4-million-funding-round-to-step-up-the-european-deployment-of-its-ai-platform-dedicated-to-clinical-research)
Deemea appears to be a small, specialized B2B vendor (public profiles indicate a small team) and does not have visible listings or reviews on mainstream software review platforms based on the searches performed:
As a result, there are no independently verifiable star-rated reviews or user quotes from mainstream review platforms included here.
Public vendor-controlled channels (e.g., vendor LinkedIn posts) include performance metrics presented as exact figures, such as:
These statements are presented by the vendor and are not accompanied by methodology, sample size, or named customer references in the source material; they should be treated as unverified marketing metrics until validated by pilots or third-party reporting. (Public vendor LinkedIn post)
Deemea is a clinical research imaging data platform intended to support imaging workflows for clinical studies. Core capabilities described by the vendor include connecting to hospital systems (notably PACS), retrieving imaging exams, performing automated quality control checks, enabling annotation and review, and supporting visualization across multiple study sites. The product is presented as targeted to research workflows rather than clinical diagnosis.
Vendor materials reference direct PACS connectivity (marketed as “Collaborative Research PACS”), an interactive viewer with automated pre-annotation features, multicenter visualization, and claims about reduced time from acquisition to visualization. (Vendor website: product overview and feature pages)
Based on vendor and investor descriptions, Deemea primarily targets:
The vendor describes deployments across healthcare centers in France, Belgium, Germany, Italy, and Spain, with stated plans for broader expansion. (Vendor website: deployment and case study pages)