AXONIS Trademark

Software as a service (SaaS) and platform as a service (PaaS) featuring cloud-native and on-premises software platforms for generating and analyzing secure data science, running federated machine learning operations, and using artificial intelligence for data analytics; Providing temporary use of on-line non-downloadable software development tools for real-time user collaboration in model development, data visualization, data lineage tracking, and development of artificial intelligence (AI) explainability; Providing temporary use of on-line non-downloadable software for enforcing attribute-based software access control and role-based software access control, generating and storing data provenance, and for use in ensuring software compliance with user-specified data localization, privacy, and security policies; Providing on-line non-downloadable software platform using artificial intelligence (AI) for developing high-performance computing environments and data integration of third-party analytics, data storage, and machine learning operations (MLOps) frameworks; providing temporary use of non-downloadable software for building, training, evaluating, and deploying artificial intelligence models across federated and compartmentalized data environments

Downloadable software for use in data integration, real-time data processing, retrieval-augmented generation of data, federated learning orchestration, and artificial intelligence model lifecycle management; downloadable software for use in generating artificial intelligence (AI)-driven data visualization, geo-spatial analytics, time-series analysis, and multi-modal data processing; downloadable software for use in machine learning operations (MLOps), namely, for machine learning model deployment, machine learning model drift detection, completing A/B testing, and development of collaborative artificial intelligence (AI) virtual environments; Downloadable software for use in data management, for machine learning for developing privacy-preserving artificial intelligence models and distributed artificial intelligence (AI) architecture, and enabling computers to securely transmit and receive data across cloud, on-premises, and edge environments; downloadable software for enforcing attribute-based software access control, role-based software access control, and data governance in artificial intelligence (AI) workflows; downloadable application programming interface (API) software for performing federated model training, predictive analytics, generating automated decisions, performing quality improvement of large language models, and creating and running privacy-enhancing algorithms for homomorphic encryption and differential software privacy