Legal Representation
Attorney
                                            Gideon Eckhouse
                                        Application History
3 events| Date | Code | Type | Description | Documents | 
|---|---|---|---|---|
| Oct 20, 2025 | NWOS | I | NEW APPLICATION OFFICE SUPPLIED DATA ENTERED | Loading... | 
| Jun 12, 2025 | MAFR | O | APPLICATION FILING RECEIPT MAILED | Loading... | 
| Jun 12, 2025 | NWAP | I | NEW APPLICATION ENTERED | Loading... | 
Detailed Classifications
                                                Class 009
                                            
                                        Downloadable and cloud-based software for collecting, encrypting, managing, storing, and analyzing personal health data, including genomic data, medical records, wearable device data, laboratory test results, and other biological information; software for issuing, tracking, and managing data usage consents and licenses; downloadable mobile applications for managing personal health records, participating in research programs, and viewing AI-generated health insights; software for enabling federated data analysis and privacy-preserving computation across decentralized sources
                                        
                                                Class 036
                                            
                                        Providing a digital infrastructure for the valuation, licensing, and compensation of personal health data, including systems for calculating usage-based value, processing payments to individuals or designated recipients, and facilitating consent-backed data exchanges; administration of decentralized data cooperatives and marketplaces for health and genomic information; financial services relating to research incentive models, tokenized rewards, and data monetization pathways; facilitating grant routing, philanthropic disbursements, and research funding based on pooled data contributions, excluding custodial fiduciary governance
                                        
                                                Class 042
                                            
                                        Providing Platform as a Service (PaaS) and Software as a Service (SaaS) featuring tools for health data analysis, blockchain-secured data sharing, and federated learning; development and deployment of artificial intelligence models for research hypothesis generation, biomarker discovery, and clinical study optimization; software services enabling the integration, harmonization, and secure exchange of multi-omics, wearable, and clinical datasets; creation of privacy-preserving AI workflows for biomedical and translational research; providing non-downloadable software for managing personalized data vaults, user permissions, and real-time analytics
                                        
                                                Class 044
                                            
                                        Providing personalized health insights, wellness recommendations, and clinical trial matching services based on aggregated health, genomic, and wearable data; supporting participation in decentralized research studies and health initiatives through AI-driven platforms; facilitating longitudinal health tracking and personalized wellness guidance using digital biomarkers and multi-modal data; offering services that enhance public and individual health outcomes through analysis of encrypted, consent-based health data; enabling community-based and participatory medicine frameworks that support collaborative discovery, citizen science, and health equity
                                        Additional Information
                                                
                                                Pseudo Mark
                                            
                                        HEALTH CHAIN
                                    Classification
                                            
                                            International Classes
                                        
                                        
                                                    009
                                                    036
                                                    042
                                                    044