ITEA is the Eureka Cluster on software innovation
ITEA is the Eureka Cluster on software innovation
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Royal Philips

Royal Philips is a leading health technology company focused on improving people's health and well-being, and enabling better outcomes across the health continuum – from healthy living and prevention to diagnosis, treatment and home care.

Philips leverages advanced technology and deep clinical and consumer insights to deliver integrated solutions. Headquartered in the Netherlands, the company is a leader in diagnostic imaging, image-guided therapy, patient monitoring and health informatics, as well as in consumer health and home care.

Philips generated 2021 sales of EUR 17.3 billion and employs approximately 77,000 employees with sales and services in more than 100 countries.


Philips actively participates in ‘Open Innovation’ through relationships with academic and industrial partners, as well as via European and regional projects, in order to improve innovation efficiency and share the related financial exposure. In 2020, Philips invested EUR 1.9 billion in Research and Development, or 10% of sales. Over 11,000 employees are working in Research & Development, which is over 13% of the total work force.

ITEA Founding Company
Alt Netherlands

Project participation

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Developing AI ecosystems improving diagnosis and care of mental diseases

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Remote Monitoring in Health and sports

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Eco-system for disease specific clinical workflow and data integration

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Sensing and Image-Guided Neurological therapies, cardiac Electrophysiology and Tumour treatments

ITEA 3 Call 6 Alt Alt Alt Alt Alt Alt


Stimulate continuous monitoring in personal and physical health

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Unleash Potentials in Simulation

ITEA 3 Call 5 Alt Alt Alt Alt Alt


Industrial-grade Verification and Validation of Evolving Systems

ITEA 3 Call 4 Alt Alt Alt Alt


Digital Lifecycle Twins for predictive maintenance

ITEA 3 Call 4 Alt Alt Alt
Winner ITEA Award of Excellence Innovation 2022
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Intelligence based iMprovement of Personalized treatment And Clinical workflow supporT

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System Technologies for Adaptive Real-time MR Image-guided Therapies