Top 57 Radiology and medical imaging startups

Sep 30, 2025 | By Jason Kwon

Radiology startups develop new (mostly AI-based) technologies to automate detecting various diseases on medical scans and make it more precious.
1
Country: South Korea | Funding: $561.1M
Lunit is a medical technology company that specializes in developing and providing AI-powered medical imaging solutions. It also provides its infrastructure on military warships.
2
Country: USA | Funding: $291.6M
Viz is a medical imaging company that helps optimize emergency treatment using deep learning technology.
3
Country: Israel | Funding: $267.5M
AIdoc helps radiologists work through their case load faster, just in time to make a difference. We reworked deep learning algorithms to analyze imaging and clinical data more effectively, and can produce highly accurate scan anomaly detection. We combine the analyzed scans with patient data, streamlining the radiologists' workflow and freeing them to do what they do best.
4
Country: Australia | Funding: $252.6M
Harrison.ai is a clinician-led healthcare AI company using deep learning to improve the odds of IVF success for thousands of patients.
5
Country: USA | Funding: $151M
Rad AI develops software that uses AI to automate radiology report writing, aiming to enhance accuracy and reduce radiologist burnout.
6
Country: India | Funding: $125.3M
Qure.ai builds deep learning solutions that aid physicians with routine diagnosis and treatment, allowing them to spend more time with patients
7
Country: USA | Funding: $100M
RapidAI empowers clinicians to make faster, more accurate diagnostic and treatment decisions for stroke and aneurysm patients.
8
Country: USA | Funding: $84.9M
Covera Health is empowering radiology providers with powerful analytics to better define, measure, and deliver accurate diagnoses—helping to ensure every patient is on the most cost-effective path back to health.
9
Country: China | Funding: $78.5M
VoxelCloud provides automated medical image analysis services and diagnosis assistance based on AI and cloud computing technologies. VoxelCloud develops computer-aided detection systems for detecting and diagnosing various diseases ranging from cardiovascular and lung diseases to eye diseases. Our solutions are based on the state-of-the-art computer vision, deep learning and artificial intelligence technology.
10
Country: Spain | Funding: $69.6M
QUIBIM is a biotech company dedicated to medical image processing and extraction of imaging biomarkers for the medical imaging workflows.
11
Country: USA | Funding: $69.1M
Enlitic applies the state-of-the-art in deep learning technology to medicine. Deep learning is loosely based on how the human brain works and has unleashed colossal capabilities in computer vision, language translation, and speech recognition. Our team of healthcare executives, physicians, and data science experts are adapting deep learning to medicine, with the goal of bringing patients radically improved diagnostic outcomes. We collaborate closely with medical centers to validate our technology and benchmark our performance against publicly available medical data sets.
12
Country: Israel | Funding: $60.5M
Nucleai aims to Improve cancer diagnostics making it accurate, effective, accessible and efficient in order to treat patients better by using Machine Learning, Deep Learning, and Machine Vision technology.
13
Country: USA | Funding: $59.2M
Subtle Medical develops AI empowered medical imaging workflow: faster, safer, and smarter
14
Country: UK | Funding: $53.7M
Using Artificial Intelligence (AI), deep learning algorithms Brainomix team is bringing complete stroke imaging decision support solution to hospitals worldwide.
15
Country: UK | Funding: $50M
Encord’s DICOM tool is a truly optimized medical imaging tool built specifically for radiologists, with full 3D views, native windowing functionality and AI-powered automation features. It allows to annotate DICOM imagery at scale including CT, X-ray, MRI and ultrasound.
16
Country: France | Funding: $44.7M
Gleamer develops an AI-powered software to enhance radiologists’ productivity.
17
Country: USA | Funding: $36.8M
As the intraoperative imaging expert, the solutions from IMRIS, Deerfield Imaging measurably improve patient outcomes through planning, product integration and clinical workflow to give surgeons access to diagnostic quality scans in operating room suites. The IMRIS Surgical Theatre, which uniquely transports MR and CT scanners to the patient using ceiling-mounted rails and incorporate other IMRIS imaging technology, are sold globally to hospitals that deliver clinical services to patients in neurosurgical, spinal, interventional and orthopedic markets.
18
Country: USA | Funding: $33.2M
VIDA is a leader in quantitative lung analysis for COPD, emphysema and asthma, establishing objective, reproducible and quantitative
19
Country: Israel | Funding: $26.6M
DiA offers a cognitive image processing technology based on pattern recognition and machine learning algorithms in medical imaging area.
20
Country: France | Funding: $26.1M
Therapixel is a software company specialized in artificial intelligence for medical image analytics. Therapixel makes touchless image navigation system designed for operating theaters: interventional radiology or surgery.
Editor: Jason Kwon
Jason Kwon is a senior editor for MedicalStartups. He has previously covered the pharmaceutical and medical research industries for FDAnews and worked as a head of marketing for medical startup Sonic Therapeutics. Before that, he co-founded a startup consulting business for emerging entrepreneurial hubs in Asia. Jason graduated from St. Bonaventure University’s journalism school. In his free time, Jason enjoys yoga, watching movie trailers, traveling to places where he can't get cell service. You can contact Jason at jaskwon(at)medicalstartups(dot)com