Secuvy

AI Data Platform

Dramatically simplify launching AI projects by finding the RIGHT data, cleansing it, and optimizing it across existing infrastructure.

Delivered with our strategic partners:​

Three challenges determine whether your AI initiative reaches production.

The right data must be confirmed. Existing infrastructure should be utilized. ASAP.

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What data is appropriate for each AI application, and can you confirm only that data is used?

Not knowing what data is sensitive results in unnecessary risk from ingestion to inference. Or the alternative is hire increasing headcount to match data volume.

How do you unify existing distributed unstructured data and deliver it continuously to the right compute?

Fragmented data means GPUs sit idle and pipelines move slower than they should. Buying new storage just increases risks around duplication and wastes existing storage.

Can your AI applications reach production with measurable ROI within 30 days?

Manual classification drains budgets before a single application ships.

The answers to these three challenges determine whether an enterprise AI initiative moves into production on schedule or stalls.

Autoclassification meets global data orchestration.

Bridge the gap between raw data and actionable AI by structuring AI data pipelines around data readiness, infrastructure performance, and time to production.

This solution combines Hammerspace’s AI Data Platform (AIDP) based on NVIDIA’s reference design, Secuvy's Data Intelligence Platform, NVIDIA's GPUs, CISCO's hardware, and SHI's services.

The Integration of Hammerspace and Secuvy –
Data Intelligence + High-Performance Data Access & Policy-Driven Orchestration

Secuvy:
Enable Proactive Governance & Faster Time to Value

AI-driven autoclassification finds the sensitive data that rules-based tools structurally cannot, including non-pattern data. Classification completes in days and weeks, not months. Filter and feed only clean data for every AI application.

Hammerspace:
Eliminate Data Gravity Costs & Optimize Existing Storage

Unifies distributed data across cloud and on-premises from your existing hardware and orchestrates how it flows to the right GPU at the right time, at the lowest infrastructure cost. Learn more

Launch months earlier with existing storage and team.

See results in days without buying new storage or increasing manual effort.

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Relieve storage and data teams from repeated data prep.

Understand ALL data and apply governance controls and filters before that data enters AI pipelines. Teams shift efforts from maintenance to innovation, compounding the value of your existing resources behind your AI initiatives.

Maximize optimization of existing storage AND GPUs.

AI workloads access data in place and move only what is needed to the right computing processor (GPU) at the right time, eliminating unnecessary duplication while maximizing performance at the lowest infrastructure cost.

Leverage best-in-class support at any scale.

Achieve a measurable ROI profile that compounds as deployment scales, completely outpacing any manual-heavy approaches. Operationalize these architectures in existing enterprise environments, accelerating deployment at scale worldwide.

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Built for enterprise environments.

The offering meets your environment where it's at, not the other way around.

Choose from:

  • Complete appliance with integrated hardware and GPUs
  • Software on your existing infrastructure
  • Hybrid across on-premises, cloud, or airgapped environments
  • Global deployment and integration via SHI, ePlus, and WWT

However you need to deploy, it's covered.