Serial Number
99371317
Owner
PEAK PERFORM INNOVA (SUZHOU) CO., LTD.Attorney
Prakash NAMAFiling Date
Sep 3, 2025
P PEAK PERFORM INNOVA Trademark
Serial Number: 99371317
Trademark Classes
Owner Contact Info
2/F UNIT E241, BLDG 4, YUXIN RD NO. 108
SUZHOU AREA, JIANGSU 215123 , CN
Entity Type: 99
Legal Representation
Correspondence Address
Prakash NAMA
4621 Chestnut St
Bethesda, MD 20814
United States
Trademark Details
Filing Date
September 3, 2025
Registration Date
Not Registered
Published for Opposition
June 30, 2026
Goods & Services
Downloadable software for molecular structure analysis and molecular property prediction for use in the chemical, pharmaceutical, biochemical industries; Downloadable computer software using artificial intelligence (AI) for use in the design, generation, modifying, optimization, screening and calculation of drug molecules in the chemical, pharmaceutical, biochemical industries; Downloadable computer software using artificial intelligence (AI) for use in the prediction of functionality, property, toxicity and side effects of drug molecules in the chemical, pharmaceutical, biochemical industries; Downloadable computer software using artificial intelligence (AI) for the design, editing, choosing, recording, management of drug ingredient composition based on molecular structure analysis and molecular property prediction; Software as a Medical Device (SaMD), recorded, for treating tumors, autoimmune diseases, inflammatory disorders, metabolic disorders, cardiovascular diseases, neurological disorders, rare ocular, respiratory, gastrointestinal diseases, skin disorders, respiratory diseases, blood disorders; Downloadable software in the nature of a mobile application for providing medication advice for treating tumors, autoimmune diseases, inflammatory disorders, metabolic disorders, cardiovascular diseases, neurological disorders, rare ocular, respiratory, gastrointestinal diseases, skin disorders, respiratory diseases, blood disorders; Downloadable computer software applications for accessing and analyzing information related to medical patent documents and visualization of drug molecules and drug activity prediction