Trademark Search  /  ISOMORPHIC LABS

ISOMORPHIC LABS

● Live · Registered

U.S. federal trademark · Serial No. 97170031 · Reg. No. UK0003718449

Mark
ISOMORPHIC LABS
Status
Registered
Serial Number
97170031
Registration No.
UK0003718449
Filing Date
December 13, 2021
Registration Date
January 28, 2022
Class(es)
Class 009, Class 042

Owners

Isomorphic Labs Limited
99 · London, GB
Isomorphic Labs Limited
99 · London, GB
Isomorphic Labs Limited
99 · London, GB

Goods & Services

Software as a service (SAAS) services featuring software using artificial intelligence, machine learning, deep learning, and reinforcement learning for protein structure prediction, pharmaceutical drug discovery, and pharmaceutical product development; advanced product research, design and development in the field of artificial intelligence for protein structure prediction, pharmaceutical drug discovery, and pharmaceutical product development; research and development in the fields of artificial intelligence, machine learning, deep learning, and reinforcement learning technologies for protein structure prediction, pharmaceutical drug discovery, and pharmaceutical product development; technology research in the field of artificial intelligence, machine learning, deep learning, and reinforcement learning for use in protein structure prediction, pharmaceutical drug discovery, and pharmaceutical product development; providing online, non-downloadable computer software platforms using artificial intelligence, machine earning, deep learning, and reinforcement learning for protein structure prediction, pharmaceutical drug discovery, and pharmaceutical product development; testing of computing methods, computer software algorithms, computer software, and computer hardware for protein structure prediction, pharmaceutical drug discovery, and pharmaceutical product development; scientific, pharmaceutical, and medical research; scientific research in the field of computer software using artificial intelligence, machine learning, deep learning, and reinforcement learning for medical research, pharmaceutical research, protein structure prediction, pharmaceutical drug discovery, and pharmaceutical product development; product research and development; medical, pharmaceutical, and scientific research in the field of protein structure prediction, pharmaceutical drug discovery, pharmaceutical product development, and computational biology; scientific and technological services, namely, scientific research in the fields of analytics and data mining, data analysis, data transformation, data visualization, statistical analysis, artificial intelligence, machine learning and virtual reality, science, chemistry, physics, biology and scientific research, all for protein structure prediction, pharmaceutical drug discovery, and pharmaceutical product development; computer aided data analysis for scientific research purposes in the fields of artificial intelligence, machine learning, deep learning, reinforcement learning, building neural networks, data tree search, high performance computing, distributed computing, cloud computing, analytics and data mining, virtual reality, augmented reality, chemistry, physics, biology, all for protein structure prediction, pharmaceutical drug discovery, and pharmaceutical product development; computer modelling services; scientific services for the analysis of organic compounds; drug discovery services

Downloadable computer software using artificial intelligence, machine learning, deep learning, and reinforcement learning for predicting protein structure, discovering pharmaceutical drugs, and developing pharmaceutical products; downloadable computer software, computer programs and computer software algorithms for manipulating received or inputted data generated in a virtual space in connection with artificial intelligence methods, natural language processing, natural language understanding, dialog systems, voice and speech recognition and text to speech systems, natural language human-machine interfaces, and predictive assistance technologies for protein structure prediction, pharmaceutical drug discovery, and pharmaceutical product development

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Source: USPTO federal trademark records. Informational only, not legal advice. Status and details may lag the live USPTO database.