Wedoany.com Report, On March 10, 2026, Hammerspace, based in Redwood City, California, announced a partnership with Secuvy to jointly launch a "Data-First" solution aimed at transforming raw data into secure AI outcomes. This collaboration focuses on AI data preparation. By integrating the technologies of both companies, it unifies distributed unstructured data into a global namespace, enabling data discovery, classification, and control across on-premises and cloud environments.
Sam Newnam, Vice President of AI and Business Development at Hammerspace, noted: "The bottleneck for AI often stems from data fragmentation, not insufficient hardware. Many projects are hindered by inefficient data movement. Hammerspace addresses this by unifying data access and orchestrating across environments. Combined with Secuvy's security capabilities, we have built a complete AI data stack that supports the transition from lab to production." Mike Seashols, CEO of Secuvy, added: "By integrating data intelligence, we have created a 'super brain' for AI metadata, making performance and security inherent properties of the data, enabling full asset management and proactive governance."
Enterprise AI faces challenges such as data dispersion, rising costs, and compliance risks. Unstructured data is often distributed across edge locations, NAS systems, object storage, and multiple clouds, making management difficult. When AI pipelines process large-scale datasets, a lack of continuous monitoring can expose sensitive information. Hammerspace provides a performance and orchestration layer, enabling AI pipelines to access data in place and move only the necessary portions to compute resources. Secuvy adds an intelligence layer that continuously identifies risks and applies privacy controls in hybrid multi-cloud environments. This partnership ensures data remains AI-ready as it changes, with governance measures updated in real-time.
Jack Hogan, Senior Vice President of Solutions at SHI, commented: "The integration of Hammerspace and Secuvy provides a global view of unstructured data, supports continuous discovery and classification, and enables enterprises to execute governance without disrupting workflows, accelerating AI production processes." Through the "Data-First" integration, organizations can achieve: a global data view unifying distributed resources; visibility into sensitive data to identify risks early; policy-based access control managed by attributes; continuous compliance consistency across environments; instant data movement to optimize resource utilization; leveraging existing storage to unleash processing power.
Hammerspace, as a high-performance data platform, aims to simplify large-scale AI infrastructure. By integrating existing storage and networks, it creates a unified data backbone, accelerating AI pipelines and eliminating data silos. This partnership marks progress in the field of AI data preparation, helping enterprises advance AI projects securely and efficiently.
