Aidence vs Dozee

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Aidence employs 1-50 people, while Dozee has 50-200 employees.

Dozee has raised more in total funding at $20M, compared to Aidence's $20M — a gap of N/A.

Dozee holds the higher Awaira Score at 60/100, compared to Aidence's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 15-point gap that reflects meaningful differences in scale or traction.

Aidence was founded by Jeroen Vendrig in 2016. Dozee was founded by Mudit Dandwate in 2015. 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. Dozee: Dozee builds a contactless remote patient monitoring system that uses a ballistocardiography sensor placed under a mattress to continuously track heart rate, respiratory rate, blood pressure trends, and sleep quality, transmitting data to an AI analysis platform that generates clinical-grade early warning scores for hospital staff. The system requires no wearables or patient cooperation, enabling continuous monitoring for elderly patients, post-surgical recovery, and ICU step-down units.\n\nThe company raised approximately $20M in Series B funding and has deployed its monitoring systems across hospitals in India and internationally, with evidence of measurable reductions in deterioration events and ICU transfers through early warning. Dozee's central monitoring dashboard allows nursing staff to oversee multiple patients simultaneously with automated deterioration alerts.\n\nContinuous patient monitoring outside of ICU settings is an underserved clinical problem globally, and particularly acute in India where nurse-to-patient ratios in general wards are often insufficient for manual vital sign monitoring. Dozee's contactless approach and AI early warning capability address both the clinical quality and resource efficiency dimensions of this challenge.

Dozee was founded first in 2015, giving it 1 year 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 Dozee has approximately 50-200. 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 Dozee 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.