🤖 AI Agent Readiness 🤖

Where AI Performance
Meets Trust

IronShard AI Storage Cloud unifies millisecond-class data access, built-in compliance, and AI-native workflows in a single platform. Purpose-built for unstructured data at petabyte scale, it accelerates AI model training and inference with intelligent caching and full dataset lineage for AI reproducibility and explainability.

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Why AI Needs a Different Kind of Storage

Traditional storage falls short for AI workflows. Limited scalability, slow data access, and poor versioning turn growing datasets into bottlenecks, slowing training, breaking reproducibility, and increasing compliance risk.

Optimized AI model training and inference
Proactive optimisation with Intelligent caching
IronShard multi-cloud fragmentation & erasure coding
Superior redundancy and cloud-agnostic fault tolerance with automated failover
Adaptive compression combining high-throughput and affordability
Millisecond-class hot data access
Petabyte-scale capacity for AI-generated data
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Self-Optimizing Storage

IronShard object storage keeps AI workloads fast with intelligent caching and geo-aware storage. Encrypted fragments adapt in real-time to access patterns, delivering low-latency training and inference while reducing costs and maintaining global resilience.

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Powering Smarter AI Pipelines

AI is moving faster than traditional infrastructure can handle. Without seamless MLOps and AI tool integration and the discoverability of unstructured data, scaling AI is an uphill battle.

Metadata Layer

Purpose-built for rapid discovery of unstructured data

MLOps Integrations

Compatible with AI platforms, ML tools and data management solutions

Branching

Isolated AI experiments with IronShard branching without copying your buckets

Governed Agents

Autonomous dataset operations by AI agents without breaking compliance

S3 Compatible

100% compatibility with AWS Simple Storage Service

Zero trust

Secure by design storage architecture and access governance.
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Compliance-Ready Storage

With compliance built directly into the data layer, governance, auditability, and data control are achieved out of the box, allowing AI innovation to move forward without added complexity.

Build trust with clients and stakeholders by ensuring AI systems are transparent from the start.

Full dataset lineage
Immutable audit trails
Automatic versioning
Geo-fencing
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AI Performance Without Runaway Costs

Predictability of costs for AI training and inference.

Competitive cost floor

Multi-cloud fragmentation achieves savings that no hyperscaler can match

Optimized storage footprint

Erasure coding delivers triple replication level durability at a fraction of the storage footprint

Reduced inter-region traffic and bandwidth

Traffic-aware data routing automatically places frequently used data in the right place
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Branching: Experiment Freely, Break Nothing.

Instant, zero-copy bucket branching creates isolated data environments with no downtime, storing only changes to avoid costly and slow duplication. Built for both human and AI workloads, branches remain secure, discoverable by AI agents, and fully under your control.

AI experiments
Data transformation tests
Multi-agent AI workflows
Preprocessing
Model training
RAG pipelines
Feature engineering
Prompt and retrieval tuning
Evaluation and benchmark runs
Schema evolution dry-runs
Data quality validation
Rollback and recovery drills

IronShard AI Metadata Layer

Beyond Labels: Metadata as Intelligence.
IronShard turns metadata into a central intelligence layer that maps, filters, and governs unstructured data, so only the right data reaches your AI pipelines. By delivering context to data, IronShard cuts GPU and storage costs by up to 80%, prevents data leakage, and accelerates AI discovery across petabyte-scale environments.

Precision data control

  • Sort and segment data
  • Include only relevant data in AI workflows
  • Cut compute and storage costs

Built-in data protection

  • Isolate sensitive data
  • Enforce policy-driven data access
  • Access audit trails

Faster data discovery

  • Cross-bucket search API
  • Map, filter, and govern unstructured data
  • Fetch curated, AI-ready datasets

Smarter ai inference

  • Augment labeling with business context
  • Achieve more accurate AI inference
  • Exposed via MCP to AI Agents
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Your Data. Your Rules.

Data sovereignty by design.
Multi-cloud fragments ensure data is always accessible, even during regional or provider outages, while no single cloud provider ever holds the full dataset. Erasure coding provides superior redundancy with an unmatched storage footprint.

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