TWINTUITION Trademark
Serial Number: 99706619
Trademark Classes
Class 9 - Computers & Electronics
Scientific, nautical, surveying, photographic, cinematographic, optical apparatus and instruments
Class 42 - Computer & Scientific
Scientific and technological services; industrial analysis and research services
Class 44 - Medical Services
Medical services; veterinary services; hygienic and beauty care for human beings or animals
Owner Contact Info
415 Clyde Ave. Unit 107
Mountain View, CA 94043
Entity Type: 03
Legal Representation
Correspondence Address
Rejuvenation Technologies Inc.
415 Clyde Ave
Ste 107
Mountain View, CA 94043
United States
Trademark Details
Filing Date
March 17, 2026
Registration Date
Not Registered
Goods & Services
Providing cloud-based platforms for generating and hosting multi-scale digital twin simulations of individual human health (SaaS); platform as a service (PaaS) for integrating data from wearable devices, health records, genomic sequencing, behavioral tracking, environmental sensors, and geospatial sources; providing AI-powered computing infrastructure, trained models, and algorithms as a service for healthcare providers, researchers, and developers; computational modeling and simulation for personalized health, pharmaceutical research, drug interaction modeling, virtual clinical trials, and population health; data analytics in predictive health modeling; API services for third-party integration with digital twin health models; AI consulting in digital health and computational biology.
Computer software and downloadable mobile applications for creating, maintaining, and interacting with multi-scale digital twin models of individual human health encompassing molecular, genetic, cellular, physiological, behavioral, psychological, social, environmental, and geographic dimensions; software for simulating responses to pharmaceuticals, nutritional inputs, lifestyle changes, geographic relocation, and environmental exposures; software for aggregating and analyzing biometric, genomic, proteomic, behavioral, geospatial, and clinical data to generate predictive health models; trained artificial intelligence models for simulating multi-scale human health responses.
Providing personalized health information, assessments, and recommendations through multi-scale digital twin simulation encompassing molecular, physiological, behavioral, psychological, social, environmental, and geographic dimensions; health monitoring utilizing digital twin modeling to detect early indicators of disease, adverse drug reactions, behavioral health changes, and environmental health risks; consultative health services via AI-driven digital twin platforms incorporating social and environmental determinants of health; health information in preventive care, chronic disease management, pharmacogenomics, environmental health, behavioral health, and aging.