Aidence vs Lunit

Lunit has a disclosed valuation of $829M, while Aidence's valuation is not publicly available, making a direct size comparison difficult. Lunit employs 300 people.

Lunit has raised more in total funding at $150M, compared to Aidence's $20M — a gap of $130M. Combined, the two companies have completed 4 known funding rounds.

Lunit holds the higher Awaira Score at 63/100, compared to Aidence's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 18-point gap that reflects meaningful differences in scale or traction.

Aidence was founded by Jeroen Vendrig in 2016. Lunit was founded by Brandon Suh in 2013. Visit each company's profile on Awaira for a full founder biography.

Aidence: Aidence develops AI radiology software for lung cancer detection, building CE-marked and FDA-cleared deep learning algorithms that analyse CT scan images to identify and characterise pulmonary nodules requiring clinical follow-up. The Amsterdam company tools assist radiologists in national lung cancer screening programmes and in routine clinical CT reading, providing AI-generated nodule measurements, growth tracking, and malignancy risk scores that reduce reader variability and improve early detection rates.\n\nThe company raised approximately $20 million in venture funding and has deployed its Veye Chest algorithm across multiple European radiology networks and hospital systems participating in national lung cancer screening initiatives. Aidence received CE marking for its software as a medical device and has published clinical validation studies demonstrating performance that is non-inferior to specialist radiologist reads on lung nodule detection tasks.\n\nAidence competes in the AI radiology market alongside Annalise AI, Enlitic, Behold.ai, and Lunit, all of which target chest X-ray and CT reading assistance. The lung cancer screening market has expanded significantly as multiple European countries and the United States have implemented or planned national screening programmes for high-risk smokers, creating a growing workflow automation opportunity for AI lung nodule detection tools. The company was acquired by Coreline Soft, a South Korean medical AI company, as part of a broader consolidation in the AI radiology market. Lunit: Lunit is a South Korean AI healthcare company founded in 2013 that specializes in diagnostic imaging analysis using artificial intelligence. The company develops machine learning algorithms designed to assist radiologists in detecting abnormalities across medical imaging modalities, particularly in chest radiography, breast cancer screening, and CT scans. Lunit's core platform uses deep learning to analyze medical images and provide clinical decision support, aiming to improve diagnostic accuracy and efficiency in healthcare settings. The company's primary products include Lunit INSIGHT, a software solution that integrates with existing hospital infrastructure and picture archiving systems. Lunit has established a presence across Asia, Europe, and other regions, with its technology deployed in hospitals and diagnostic centers. The company went public on the Korean stock exchange, achieving a valuation of $0.8 billion. With $150 million in total funding raised through various rounds before its public listing, Lunit operates in a competitive segment alongside companies like Zebra Medical Vision, Arterys, and various regional competitors. The company faces competition from both specialized AI diagnostic firms and larger healthcare technology providers developing similar capabilities. Lunit's growth trajectory reflects increasing adoption of AI in medical imaging across Asia-Pacific markets, where regulatory pathways and healthcare infrastructure continue to evolve to accommodate such technologies. Lunit is among the few AI medical imaging companies to achieve public market status, particularly from South Korea, reflecting regional strength in healthcare technology innovation.

Lunit was founded first in 2013, giving it 3 years of additional market experience. Aidence was founded later in 2016. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Aidence has approximately 1-50 employees, while Lunit has approximately 300. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Aidence and Lunit are direct competitors — both operate in the AI Healthcare space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.