Hyperscience
Hyperscience Hypercell is an enterprise AI infrastructure software platform designed to accelerate AI initiatives with a focus on security, compliance, and infrastructure requirements, supporting various deployment environments and offering advanced model lifecycle management and automation capabilities.
Hyperscience Hypercell Overview
The Hyperscience Hypercell is an all-in-one enterprise AI infrastructure software platform designed to accelerate transformational AI initiatives at scale. It caters to various enterprise settings prioritizing security, compliance, and infrastructure requirements. It supports on-premises, hybrid cloud, SaaS, and air-gapped environments, ensuring flexibility for different operational needs.
Hyperscience R39 Features
Hyperscience R39 includes a suite of noteworthy features such as breakthrough model lifecycle management, accelerated automation for complex documents, and advanced decision-making capabilities. It offers a comprehensive collection of proprietary models, applications, and automation flows. Customers can leverage existing investments in models for fine-tuning, cutting model training time by up to 50%. R39 includes functionality for training data management, automated upgrade management, trainer resiliency, multilingual document processing, and out-of-the-box integration with Amazon S3.
Security and Compliance of Hyperscience Hypercell
The Hyperscience Hypercell meets high enterprise standards for data security, compliance, and privacy. It ensures 99.9% uptime and is SOC 2 Type-2 accredited. The platform supports full data encryption in-transit and at-rest, and offers SSO (SAML, OIDC). It includes governance measures necessary for running proprietary, open-source, and Frontier models. Additionally, it supports multi-data-center availability, multi-region disaster recovery, and provides detailed audit tracing capabilities for enterprise ground truth training and PII redaction.
Scalability and Availability of Hyperscience Hypercell
The Hyperscience Hypercell supports an auto-scaling architecture, enabling high throughput and low latency for enterprise usage. It is agnostic to LLM models, allowing deployment on-premise, in private cloud, or public cloud environments. The platform is designed to meet the demands of large-scale AI operations, ensuring global 24/7 technical support and data sovereignty for AMS and EMEA regions.