Hybrid cloud data management firm Cloudian Inc. today announced the general availability of the Cloudian HyperScale AI Data Platform, a data platforms designed to turn company documents into instant artificial intelligence insights.

The new offering, based on the Nvidia AI Data Platform reference design, transforms institutional knowledge stored in documents, PDFs, images and spreadsheets into instantly accessible insights through a chatbot interface.

The Cloudian HyperScale AI Data Platform seeks to address the dilemmas faced by enterprises seeking to adopt AI: They need to move sensitive data to shared environments that may not align with compliance requirements, or they need to embark on complex custom development that typically requires months of integration work and often fails to deliver business value.

Added to the mix is that an estimated 80% of institutional knowledge is in unstructured data — documents, reports and operational data containing decades of expertise — that remain inaccessible to AI systems.

The HyperScale platform aims to eliminate the challenge through an integrated solution that includes proven Nvidia AI Blueprints for enterprise document AI. The platform is operational within days to provide complete AI infrastructure, including compute, storage and software, with minimal data migration requirements or integration complexity, Cloudian says. And, it claims, the platform delivers enterprise AI capabilities without the traditional tradeoffs.

Under the hood, the platform includes Amazon Web Services Inc.’s S3-native object storage with remote direct memory access for S3 performance that ensures eight times faster vector database operations than CPU-based alternatives with file storage. The result is real-time AI responses across thousands of users.

With Cloudian HyperScale AI Data Platform, organizations eliminate unpredictable cloud costs through an integrated appliance model with predictable capital expenditure pricing. The solution also eliminates AI cloud expenses, including per-token fees and data storage costs that may be hundreds of times higher than on-premises alternatives, all while maintaining complete data sovereignty.

The platform’s HyperStore AI Data Platform can process and analyze data wherever it resides, whether on-premises, in hybrid environments, or across distributed infrastructures, providing flexibility for diverse enterprise architectures.

“Organizations need AI that works with their existing security and compliance requirements, not against them,” said Chief Executive Michael Tso. “Our HyperScale AI Data Platform delivers exactly that: secure access to institutional knowledge through a familiar chatbot interface, with complete data sovereignty and deployment in days rather than months.”

Cloudian also has plans to develop the platform further, with upcoming blueprints for video analysis that will include support for monitoring factory floors, warehouses and construction sites. Future applications will include data analytics and additional enterprise AI capabilities, all deployed through the same integrated infrastructure.

The Cloudian HyperScale AI Data Platform is immediately available globally through Cloudian’s certified channel partner network.

Cloudian is a venture capital-backed startup that has raised $233 million over six rounds, including a round of $60 million in January 2023. Investors in the company include Tinshed Asia, Wilson Sonsini Investments, Digital Alpha Capital, Eight Roads Ventures, Intel Capital Corp., Innovation Network Corp. of Japan and NTT Docomo Ventures Inc.

Image: Cloudian