Quantib B.V.
About Quantib B.V.
Quantib B.V. develops advanced artificial intelligence (AI) radiology solutions designed to enhance the speed and accuracy of diagnostic pathways for physicians. Their software leverages state-of-the-art machine learning techniques for the segmentation, classification, quantification, and visualization of MRI and CT scans. This automation and acceleration of workflow enable radiologists and researchers to achieve more efficient and objective diagnoses.
The company’s portfolio includes FDA-cleared and CE-marked solutions primarily focused on neurodegeneration (such as Alzheimer’s and Multiple Sclerosis) and prostate cancer. These solutions, like Quantib Prostate and Quantib ND (for neurodegenerative diseases), are deployed through the Quantib AI Node platform, facilitating seamless workflow integration. Quantib’s technology aims to provide objective measurements and detect subtle tissue changes sooner than traditional methods, improving diagnostic quality and supporting timely patient care.
In 2022, Quantib was acquired by RadNet, Inc., a leading provider of diagnostic imaging services in the United States, and subsequently became part of DeepHealth, a wholly-owned subsidiary of RadNet in 2023. This integration further expands their reach and capabilities within AI-powered health informatics, with solutions now integrated into DeepHealth Prostate and DeepHealth Brain.
Focus Areas
Business Intelligence
| Key Investors | Holland Capital, InnovationQuarter, European Commission, European Innovation Council, AMC Ventures Holding, Dennendonck Investments |
| Partnerships | RadNet, DeepHealth, Erasmus Medical Centre, GE Healthcare, Philips, Intrasense, UMC Utrecht (Joint Venture), Focal Healthcare |
| Acquisitions | Acquired by RadNet Inc. (January 2022), became part of DeepHealth (2023) |
| Technology | AI Node platform, cloud-native, utilizes machine learning and deep learning for segmentation, classification, quantification, and visualization of MRI and CT scans |
| FDA Clearances | at least 5 cleared products (estimated) |
What Physicians Need to Know
For physicians, Quantib's solutions, integrated into DeepHealth, offer significant advantages by enabling faster and more accurate diagnoses, particularly in complex areas like neurodegeneration and prostate cancer. The AI-powered tools provide objective quantitative measurements, such as volumetric analysis and PSA density calculation, which enhance diagnostic confidence and support standardized reporting (e.g., PI-RADS scoring). This can lead to improved reporting quality and speed, streamline workflow by automating mundane tasks, and reduce inter-reader variability, especially benefiting less experienced radiologists. The seamless integration into existing PACS and compatible systems ensures that relevant data and structured reports are easily accessible, fostering better collaboration and continuity of care. Ultimately, these tools empower physicians with advanced insights for more informed decision-making and personalized treatment plans.
Quantib's solutions are deployed through the Quantib AI Node platform, which is designed for seamless workflow integration. This Linux-based, server-client system can automatically process data received via a DICOM connection and export results, including segmentations and structured reports, to external DICOM nodes (e.g., PACS systems) for viewing with any preferred DICOM viewer. This ensures compatibility and smooth integration with existing medical infrastructure, facilitating data sharing and collaborative care.
What the Web Says
Quantib B.V. is generally perceived as a company with innovative AI-driven medical imaging solutions, particularly in neurology. Product reviews highlight the software's accuracy and efficiency in quantitative analysis, aiding in early disease detection and treatment monitoring. Employer reviews, though less numerous, suggest a positive work environment with opportunities for growth, though some aspects like work-life balance or specific management styles might have varying opinions.
Overall: PositiveStrengths
- Innovative AI solutions for medical imaging
- High accuracy and efficiency in quantitative analysis
- Supports early disease detection and treatment monitoring
- User-friendly interface (for products)
- Positive work environment and growth opportunities (employer)
- Strong focus on neurological applications
Limitations
- Limited number of employer reviews available
- Specific pricing details not always readily transparent
- Potential for integration challenges with existing hospital systems (common for new tech)
- Work-life balance can vary by role/team (employer)
- Specific product features might require further customization for some users
- Market awareness could be improved in some regions
Based on reviews from: G2, Glassdoor, Capterra, Healthcare IT News, Reddit, LinkedIn
Last updated: 2026-07-20
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