SENTIRA Trademark

Providing temporary use of non-downloadable cloud computing software for processing, analysis, and visualization of biological data, genomic, transcriptomic, proteomic, and spatial biology data; software as a service (SaaS) featuring software for single-cell RNA sequencing data analysis, spatial transcriptomics data analysis, and in situ transcriptomics data analysis; providing temporary use of online non-downloadable software for automated cell segmentation, cell phenotyping, and tissue image analysis; cloud computing featuring software for use in connection with biological data storage, management, integration, processing, and reporting in the fields of genomics, transcriptomics, proteomics and spatial biology; providing temporary use of online non-downloadable software for multiomics data integration and analysis; providing a website featuring non-downloadable software for technology enabling researchers and scientists to use a natural language interface and artificial intelligence (AI) to access, process, visualize, collaborate on, and share biological data derived from single-cell sequencing, spatial sequencing, and imaging-based in situ analysis platforms; scientific and technological research services, namely, scientific research in the field of genomics, transcriptomics, proteomics, and spatial biology; providing an on-line network environment featuring technology that enables users to share data in the field of biological data; scientific research; Providing temporary use of online non-downloadable computer software using artificial intelligence (AI) for querying, automated analysis, interpretation, summarization, and reporting of biological, genomic, transcriptomic, proteomic, spatial, single-cell, and imaging-based in situ data, and for autonomously planning, executing, and iteratively refining such analysis workflows; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for querying, automated analysis, interpretation, summarization, and reporting of biological, genomic, transcriptomic, proteomic, spatial, single-cell, and imaging-based in situ data, and for autonomously planning, executing, and iteratively refining such analysis workflows