The GaelO Project: A New Era for Clinical Trial Imaging
Innovation, scientific rigor, and digital excellence at the heart of clinical trial imaging.
Our Vision: Bridging the Gap in CRO Clinical Research
"By automating the 'data plumbing,' we allow researchers to focus on what matters most: scientific discovery and patient outcomes."
The GaelO project was our first project, born from a simple observation: traditional CRO clinical research often struggles with the technical complexity of medical imaging. Manual data transfers, inconsistent de-identification, and fragmented workflows lead to delays and data integrity risks.
We have seen too many studies not centralizing medical imaging, relying on unqualified local review or centralizing data using CD/DVD exchanges. We wanted to remove all these inefficient processes and create an infrastructure to make the most of medical imaging capabilities.
We created the GaelO platform Imaging CRO model by placing a powerful, cloud-native technological core at the service of medical expertise. We believe that by automating the "data plumbing," we allow researchers to focus on what matters most: scientific discovery and patient outcomes.
Then we completed the ecosystem with GaelO-Flow for Real World Evidence. With GaelO-Flow we wanted to bring image management and processing tools where the medical images lie — in healthcare institutions, to promote Real World Evidence research and accelerate medical imaging research even more.
A New Breed of Solutions for Clinical Trial Imaging
We build more than software platforms. We created a rich ecosystem designed to meet the evolving needs of modern clinical trials. As a tech-driven Imaging CRO, we provide a unified solution — and a full chain of imaging CRO services behind it — for:
Seamless Orchestration
Centralizing imaging data from global sites into a single, secure environment.
Regulatory Peace of Mind
Built-in compliance (GDPR, HIPAA, 21 CFR Part 11) to secure every byte of your CRO clinical research data.
Advanced Analytics
Integrating AI and Radiomics directly into the clinical workflow to move beyond traditional qualitative reading and implement new imaging biomarkers in medical research.
Human expertise in the loop
We want to create the perfect union between software, AI and medical experts to deliver the most of medical imaging capabilities.
Our Commitments: Innovation, Rigor, and Collaboration
Three principles that shape every product we build, every service we deliver and every partnership we engage in.
Scientific Integrity
We are convinced that technology is only as powerful as the science behind it. In every clinical trial imaging project we support, we maintain the "Human in the loop" principle. Our AI algorithms — including our automated TMTV engine — act as high-performance assistants, but final validation always remains in the hands of medical experts, ensuring 100% accurate results.
Contributor of the medical imaging infrastructure
At Pixilib we built our solution by collaborating with major open source software projects to which we contribute with funding and code contributions.
We knew from the beginning that we wouldn't be able to build this full infrastructure alone — so we joined major projects such as Orthanc and OHIF to construct a strong ecosystem we can rely on and that will benefit the whole medical imaging research and industry.
Collaborative Research Ecosystem
Whether we are working with Academic Institutes, Hospitals, or global players in the CRO clinical research sector, we continuously evolve our tools to address the unique challenges of every research project.
We are ready to be challenged by new projects, we are ready to participate in research and create new innovative usages of medical images in research. Solving one challenge today brings new ideas to another researcher tomorrow, pushing the whole scientific knowledge to a higher level.
Partners, Publications & Contact
The GaelO project exists thanks to its partners, scientific contributors and the researchers who challenge us every day.
Partners
The GaelO project is supported by leading academic groups and scientific consortia, including LYSA — Lymphoma Study Association.
Discover LYSAPublications
Our team contributes regularly to peer-reviewed journals, validating our algorithms and methodologies for the broader medical imaging research community.
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Got an imaging research challenge, a collaboration idea, or just questions about our platforms? We'd love to hear from you.
Get in touchA unified infrastructure for medical imaging research
From clinical trial centralization to research PACS and AI segmentation — three complementary products covering the full lifecycle of medical imaging in clinical research.
GaelO
Collection and centralized reading of clinical trials. From DICOM upload to Blind Independent Central Review with disease-specific criteria — GDPR/HIPAA compliant, fully auditable.
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GaelO Flow
Research PACS for retrospective and Real World Evidence studies. Orchestrate medical imaging data: query/retrieve, batch de-identification, AI inference pipelines and seamless export.
Discover GaelO Flow
AI Segmentation Algorithms
FDG, PSMA, DOTATOC. Automated PET segmentation to extract Total Metabolic Tumor Volume (TMTV) human-in-the-loop, 100% medically validated, regulatory-ready.
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