Project-specific datasets for AI development, validation, and regulatory evidence generation
Aigora curates datasets to exact specifications for technically demanding AI projects.
Use cases
Supporting every stage of the AI development lifecycle
We address the diverse data requirements of medical device and technology companies at every stage of AI development.
AI Model Development
Real-world data for computer vision, foundation model, and clinical language model development.
AI Model Validation
Real-world data for external, multi-site, and multi-device validation.
Regulatory Evidence Generation
Real-world data for performance evaluations and regulatory submissions.
Each engagement is supported by a tailored combination of capabilities.
- Retrospective data curation
- Prospective data collection
- Multimodal data integration
- Annotation & ground truth generation
- Regulatory-grade data delivery
Our approach
01
Define
We align on the research objectives, intended use case, and initial data requirements.
02
Assess
We evaluate data availability across our global network, engage clinicians to assess feasibility, and jointly refine project scope.
03
Propose
We provide a tailored proposal outlining deliverables, timelines, and commercial terms.
04
Curate
We coordinate participating sites, approvals, data extraction, and aggregation, while ensuring quality control and privacy safeguards.
05
Deliver
We transfer the final regulatory-grade, research-ready dataset in the agreed format and structure for integration into customer systems
Why Aigora
Building datasets tailored to each product
We curate datasets around each product's intended use, technical specifications, and regulatory requirements.
Feasibility-led expert curation
We assess product requirements against data available across our network, combining scientific, clinical, and operational expertise to assemble fit-for-purpose datasets.
Specification-aligned imaging data
We tailor imaging datasets to exact specifications, including modality, acquisition parameters, required image series, and scanner representation, and provide annotation and ground-truth labeling where needed.
European depth, global reach
We source imaging and other data through an established healthcare partner network to provide efficient, dependable access to the data volumes, site diversity, and device representation needed for each project.
Transferable, regulatory-grade delivery
We deliver datasets with appropriate usage rights for integration into customer systems and for use in regulatory submissions.
Prospective pathways
We set up and manage prospective data collection studies when retrospective data alone cannot meet project requirements.
FAQs
Each project begins with feasibility-led scoping.
We assess feasibility by querying our healthcare partner network against your inclusion and exclusion criteria to confirm that the required data can be sourced.
Every imaging dataset is curated to your specifications.
We vet and select imaging data down to the individual series level. We filter and verify metadata against your required modality, imaging protocol, slice thickness, scanner make and model, reconstruction kernel, and other project-specific technical parameters.
Multi-site, multi-device cohorts by design.
We source datasets across multiple healthcare institutions and device manufacturers within our network to provide the diversity expected for FDA and EU MDR regulatory evidence generation.
Datasets are transferred with no platform lock-in.
Anonymized datasets are delivered for use within your own infrastructure with appropriate commercial usage rights. Your engineering team is not restricted to closed dashboards, proprietary APIs, or federated read-only environments.
Expert-led annotation and ground-truth generation.
We coordinate qualified clinical specialists across our healthcare partner network to generate custom segmentation masks, bounding boxes, diagnostic labels, and other ground-truth annotations aligned with your requirements.
Data modalities
Integrating multimodal data for robust medical AI
High-quality medical AI depends on imaging linked to clinical and pathology data to establish reliable ground truth. We curate the multimodal datasets needed for AI training, validation, and regulatory evidence generation.
Medical imaging
Medical imaging data across multiple modalities and clinical specialties, with associated reports and linked metadata.
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Clinical data
Structured and unstructured patient-level data, including demographics, diagnoses, procedures, medications, clinical notes, and outcomes.
Whole slide images
Digital pathology images derived from biopsies, resections, and other specimen types, with associated metadata.
Pathology data
Specimen-level diagnostic information, including pathology findings, diagnostic classifications, specimen characteristics, and organ site details.