Aidence vs Predible Health

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Aidence employs 1-50 people, while Predible Health has 10-50 employees.

Aidence has raised more in total funding at $20M, compared to Predible Health's $5M — a gap of $15M.

Predible Health holds the higher Awaira Score at 50/100, compared to Aidence's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 5-point gap that reflects meaningful differences in scale or traction.

Aidence was founded by Jeroen Vendrig in 2016. Predible Health was founded by Sanjoy Paul in 2017. 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. Predible Health: Predible Health develops AI software for radiology and medical imaging analysis, with a focus on automated CT scan interpretation for lung nodule detection, COVID-19 assessment, and liver segmentation. The platform integrates with radiology information systems and PACS to provide AI-assisted second reads and quantitative measurements that reduce reporting time and flag critical findings for urgent review.\n\nThe company raised approximately $5M in Series A funding and has established clinical partnerships with hospital networks and diagnostic imaging centers across India. Predible Health received significant validation through its COVID-19 CT analysis tool, which was deployed during the pandemic to help overwhelmed radiology departments manage surge volumes.\n\nRadiology AI represents one of the most commercially mature segments of medical AI globally, with clear clinical workflows, measurable radiologist productivity benefits, and established reimbursement pathways emerging in developed markets. Predible Health's India-focused deployments position it as a domestic alternative to global radiology AI companies, with the advantage of deep integration knowledge in Indian hospital IT environments.

Aidence was founded first in 2016, giving it 1 year of additional market experience. Predible Health was founded later in 2017. 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 Predible Health has approximately 10-50. 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 Predible Health 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.