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Our Flagship Technology:
IRISTIA — Powered by MRAS

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→ Learn more on the IRISTIA product page www.iristia.com 

Patented MRAS Architecture

IRISTIA transforms chaotic, heterogeneous email flows into a structured, searchable, compliant corporate memory.

This is possible because IRISTIA is built on MRAS — MIME Reversible Archive Solution, SEANAT’s patented deep-structural architecture capable of fully reconstructing emails at the MIME level.

MRAS is the breakthrough.
IRISTIA is its enterprise-scale implementation.

AI-Driven Data Transformation

LLMs and RAG systems require clean, structured, contextualized data.
Yet a raw email cannot be vectorized reliably.
Its multi-layer MIME structure must first be reconstructed.

IRISTIA prepares corporate email for:

  • AI ingestion

  • semantic search

  • governance dashboards

  • enterprise RAG

  • compliance workflows

  • digital transformation initiatives

AI cannot operate on chaos.
IRISTIA provides the structure it needs.

Scalable Integration

IRISTIA and MRAS are designed for seamless integration within existing enterprise ecosystems.

Our solutions adapt to your environment, enabling:

  • smooth deployment

  • interoperability with corporate systems

  • minimal disruption to workflows

  • maximum operational efficiency

Whether used as a standalone platform or connected to cloud storage, DMS/ECM systems, RAG engines, or enterprise search technologies, IRISTIA delivers structure where it matters most.

Proven Performance at Enterprise Scale

IRISTIA has already demonstrated its ability to operate at full corporate scale.

Our architecture has been successfully validated on:

  • 400,000+ emails

  • 200,000+ attachments

  • multiple interconnected mailboxes, reproducing the real structure of an enterprise environment

This large-scale proof of execution confirms:

  • the robustness of MRAS reconstruction,

  • the consistency of metadata and chronology restoration,

  • the stability of ingestion pipelines,

  • and IRISTIA’s readiness for enterprise-level deployment.

These results demonstrate not only feasibility, but operational maturity.

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