An AI-driven ecosystem integrates radiology, pathology and microscopy to enable earlier, faster detection of cancer and other diseases.
Funding
Funding not disclosed
Founders
Product
Problem
Clinicians often face delays and variability in diagnosing cancer and other diseases because they must manually interpret large volumes of radiology, pathology, and microscopy images, which can be time‑consuming and prone to human error.
Solution
Praid AI offers an integrated AI ecosystem that unifies radiology, pathology, and microscopy analysis to provide earlier and more precise disease detection. The platform leverages extensive labeled datasets—including over 20,000 chest X‑rays and 960 whole‑slide images—to train models that triage conditions such as pneumonia, COVID‑19, and multiple cancer types. AI models generate accurate annotations, highlight critical findings, and produce automated reports via a vision‑language model, reducing the time from scan to report by up to 40%. A collaborative dashboard enables radiologists, pathologists, and clinicians to review cases together in real time, improving diagnostic confidence and workflow efficiency. The solution is certified as ISO 13485:2016 SaMD, ensuring compliance with medical device standards.
Target Audience
Primary customers are hospitals, diagnostic labs, and specialty clinics that require fast, accurate imaging and pathology analysis, as well as radiologists and pathologists seeking AI assistance in routine and complex case interpretation.
Features
- AI‑driven models for automated annotation and critical finding detection across X‑ray, CT, MRI, and whole‑slide pathology images
- Vision‑language model that creates structured diagnostic reports, streamlining documentation
- Smart annotation tools that assist clinicians in reviewing scans and slides quickly
- Real‑time collaborative dashboard for multi‑disciplinary case review and comparison
- Support for all major scanner formats and integration with existing laboratory software
- Proven performance on large datasets (20,000+ chest X‑rays, 960 WSIs, 9,174 WSIs for HER2 breast cancer analysis)
- ISO 13485:2016 certified Software as a Medical Device (SaMD) ensuring regulatory compliance