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CASE STUDY

Deemea

AI-powered clinical imaging data management platform that accelerates research study timelines and operational workflows.

Industry Clinical Research / Medical Imaging / Life Sciences

Solution AI Imaging Data Lifecycle & Workflow Automation

Engagement 6 Months

Services AI & Full-Stack Development

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Client Context

Deemea is a European digital health company developing an AI-driven platform to support clinical research imaging workflows. Its technology is designed to streamline the imaging data journey — from acquisition, quality assessment, and annotation through to multi-site analysis — enabling life sciences organisations and research centres to reduce data overhead and accelerate clinical trials.

Founded in 2020 and headquartered in Paris, Deemea’s solution supports federated and multi-centre studies, enhancing collaboration and ensuring data privacy, sovereignty, and standardisation across healthcare institutions and cosmopolitan clinical environments. The platform is trusted by many European research partners and expanding globally to serve biopharmaceutical and medical device research workflows.

AI Clinical Imaging Platform

Federated Multi-site Research Support

Healthcare & Life Science Innovation

The Challenge

The client needed an AI-centric imaging research platform that could ingest diverse imaging sources from multiple clinical sites, standardise and validate image data quality, automate annotation and quality control workflows, support scalable multi-site study orchestration, and integrate interpretation and reporting tools to accelerate study progress while preserving data privacy and compliance.

Multi-site imaging data variability

Automated quality control and annotation

Workflow orchestration across studies

Compliance and traceability

Our Solution

We built an AI-powered imaging data lifecycle platform with modular pipelines for secure data ingestion, advanced imaging quality assessment, DICOM standardisation, and workflow intelligence to enable efficient multi-site study coordination and accelerated insights for clinical research teams.

Secure Multi-Site Ingestion

Robust pipelines for imaging acquisition from sites with privacy-first design.

AI Image Quality & Validation

Deep learning modules for automated quality checks and protocol conformance.

Annotation & Review Tools

AI-assisted annotation and pre-interpretation for imaging studies.

Study Orchestration & Analytics

Workflow intelligence and dashboards to drive study performance and outcomes.

How We Delivered

Discovery & Alignment

Mapped clinical imaging protocols, data sources, and quality metrics across participating centres.

Architecture & Planning

Designed federated, compliant imaging pipelines and AI architecture.

Engineering & Integration

Developed secure ingestion, annotation, and analytics modules integrated with clinical systems.

Testing & Validation

Validated model performance, imaging quality metrics, and multi-site workflows.

Deployment & Support

Rolled out production services with monitoring, retraining loops, and documentation handover.

Outcomes Delivered

40% Reduction in Imaging Processing Time

Automated quality validation and standardized ingestion significantly accelerated imaging dataset preparation across research sites.

55% Improvement in Data Consistency

AI-driven DICOM normalization and validation enhanced cross-site data standardization in multi-centre trials.

3x Scalable Study Throughput

Workflow orchestration tools enabled simultaneous management of multiple high-volume imaging studies.

99.9% Platform Availability

Secure, federated infrastructure ensured uninterrupted collaboration across clinical research sites.