Technology, Startups and AI Users

AI-Ready Object Storage With Governance and Compliance Built In

Stop wasting time building data infrastructure. IronShard gives AI and ML users the storage foundation they need to scale. Secure, compliant, lineage-aware, and optimised for intense AI workloads.

Built for AI Workflows

IronShard is storage engineered for training and inference pipelines:

• No downtime
• AI agent support
• Dataset immutability
• High-throughput ingestion
• Petabyte-scale performance
• Unstructured data discoverability
• Millisecond-class hot data access
• Multi-tenant and parallel data access
• Cloud provider-agnostic fault tolerance
• Intelligent caching and proactive placement
• Branching: AI experiments while keeping production buckets safe
• Integrations with MLflow, HuggingFace, Airflow, LangChain, PyTorch, TensorFlow, and more

Zero Compliance Overhead

Achieve enterprise-grade compliance by default. Win customers earlier by meeting their data requirements instantly.

• A GDPR-compliant everywhere architecture
• No provider or region dependency
• Data residency controls
• Unmatched security
• Zero-trust access

Track every dataset version, source, transformation, and AI training run automatically.

• Automatic versioning
• Lineage visualization
• Reproducible ML workflows
• Full audit trails for every object

Predictable Pricing

Train models, move data, and deploy apps without worrying about bandwidth charges.

• No hidden costs
• No egress penalties
• Flat, transparent pricing
• Optimized storage footprint
• Reduced inter-region storage and bandwidth

You focus on the AI model. We handle the data backend.

Most AI startups spend 20-40% of engineering time building internal data infrastructure. IronShard eliminates that overhead.

Startup Program: Get Up and Running in Minutes

Exclusive benefits for early-stage companies:

• Free credits for AI training datasets
• One-line migration from S3/MinIO
• Discounted pricing for year one
• Priority support
• Co-marketing for funded AI startups

Integrations That Just Work

Compatible with the tools you already use:

• S3 API
• MLflow
• PyTorch
• LangChain
• TensorFlow
• HuggingFace
• Airflow / Prefect
• Vector databases (Pinecone, Weaviate, Qdrant)

Why Generic Storage Breaks AI Workflows

• Innovation bottlenecks: No AI metadata intelligence, no AI agent readiness, and no scalable way to manage vast AI datasets.
• Compliance dead ends**:** No lineage, no auditability, no way to satisfy the EU AI Act or GDPR requirements.
• IP at risk**:** Source code, models, and datasets exposed to insider threats, ransomware, or vendor breaches.
• Investor distrust: Customers and VCs want to see GDPR, SOC 2, and ISO 27001 alignment from day one.

Why IronShard is Different

1. Built-In Compliance

• EU AI Act, GDPR, and European Health Data Space (EHDS) compliance: Safely handle sensitive health, financial, and legal data. Stay compliant everywhere, regardless of the underlying infrastructure or cloud providers.
• Audit-readiness: Instantly prove compliance to regulators, enterprises, or investors.
• Dataset lineage and versioning: Track data from ingestion to training and inference.
• Geo-distribution: Keep data within regional compliance boundaries or on-prem.

2. AI Metadata Intelligence Layer

• Discover unstructured data.
• Filter and sort data. Ensure only relevant data is used in AI pipelines and optimise training and inference costs.

3. AI-Ready Infrastructure

• Low-latency hot data access
• AI agent support (MCP-compatibility)
• Intelligent caching and geo-aware routing: Reduce inter-region traffic and bandwidth
• Petabyte-scale performance: Address the continuously growing AI data and scale without limits.

4. Outstanding Resilience and Security

• Multi-cloud support: No single cloud or system stores full files.
• Cloud-agnostic fault tolerance: AI models, training datasets, and customer PII cannot be reconstructed even if a node or vendor is compromised.
• Erasure-coding: Unrivalled resilience at a fraction of the storage footprint of triple replication
• Always-on availability: Guaranteed access during outages.

Key Differentiators for Tech Startups

• AI compliance built in: The EU AI Act, GDPR, ISO 27001, and AI regulations
• AI agent-ready: Every AI agent is authenticated and can be granted read/write access
• Full audit trails: Every AI agent action (train, infer, update) is logged, auditable, and reversible.
• Zero-trust architecture: Multi-cloud distribution. Regional and cloud provider outage resilience.
• Developer-friendly: API integrations (AI, DevOps, and CI/CD pipelines).

Adopt AI Safely and Smoothly

Move fast without breaking trust. IronShard turns AI adoption from a challenge into an advantage, enabling startups to innovate at scale, safely and audibly.