Sovereign AI · Technical Analytics Agent

Mira Vector.

Technical intelligence that transforms legacy datasets into future-ready assets. Granular data analysis, terminology harmonization, locale coverage analytics, compliance reporting — governed by GW Slate™, sovereign by architecture, without training models on your data.

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Who is Mira Vector?

Mira Vector is the technical analytics flagship in the GlobalizeWe sovereign agent ecosystem. Where Iris Meridian handles creative intelligence, Mira handles data — legacy dataset transformation, translation memory audits, terminology harmonization, locale coverage analysis, and compliance reporting. Every action she takes produces a signed receipt event via the AEA Rail. All execution stays inside your perimeter.

Agent Profile

The technical apparatus.

Where Iris Meridian handles creative intelligence, Mira handles the data — granular, governed, and auditable.

Legacy Dataset Transformation

Mira creates proprietary datasets from your legacy content, translation memories, glossaries, and brand assets — without training models on your data. From legacy to future-ready.

Granular Data Analysis

Deep analytics across translation memory quality, terminology consistency, brand voice adherence, and locale-specific performance. Mira finds what's broken before it ships.

Client Case Execution

Mira runs the technical side of proof-of-concept engagements. Data ingestion, quality assessment, transformation pipelines, and measurable outcomes — all receipted.

Transformation Pipeline

Legacy in. Future-ready out. Without training on your data.

Mira's pipeline follows the 5 canonical loops. Every step is classified, routed sovereign-first, enriched, verified, and receipted.

01

Ingest & Classify

Legacy datasets — translation memories, glossaries, style guides, terminology databases, content archives — are ingested and automatically classified by sensitivity. PII and client IP are flagged and routed to bare metal. Nothing touches cloud compute unless explicitly approved.

02

Assess & Map

Mira maps dataset quality, consistency, coverage gaps, and locale completeness. Translation memories are scored for terminology adherence. Glossaries are checked for conflicts. Brand voice patterns are extracted and profiled — all without modifying the source data.

03

Transform & Enrich

GeoContextPublisher adds regional signals. LinguisticAlchemist resolves intent mismatches. Legacy datasets are restructured into interoperable formats that work with your existing CMS, TMS, and DAM connectors. Proprietary datasets are created — your IP, your infrastructure.

04

Verify & Receipt

Every transformation produces a receipt event. Input hashes, sensitivity labels, enrichment modules applied, routing paths used, output hashes. Cryptographically signed. Immutable. Ready for audit.

05

Deploy & Learn

Transformed datasets are deployed to production systems through GW Slate connectors. Performance data feeds back into the Learn loop — sharpening terminology, glossaries, and style profiles over time without ever leaking client corpora.

Capabilities

Technical depth. Enterprise scale.

Translation Memory Audit

Score TM quality across consistency, terminology adherence, locale accuracy, and brand voice alignment. Identify segments degrading output quality before they propagate.

Terminology Harmonization

Detect and resolve conflicts across glossaries, style guides, and TMs. Ensure ES-MX and ES-ES terminology don't bleed across markets. Enforce at the constraint layer.

Locale Coverage Analysis

Map content coverage gaps across 11+ locale targets. Identify which markets are under-served, which content is stale, and where brand voice consistency is degrading.

Dataset Generation

Create proprietary datasets from legacy assets. Structured for SLM fine-tuning readiness without training on client data. Apache-2.0 compatible. Deployment-ready.

Performance Benchmarking

Measure Time to Synthesis improvements across workflows. Track quality scores, terminology adherence, and Human Gate approval patterns over time.

Compliance Reporting

Generate audit-ready reports from receipt events emitted by the AEA Rail. Data classification summaries, routing path analytics, Human Gate usage, and retention compliance — ready for procurement, security review, and EU AI Act audit before August 2, 2026.

Deployment Options

On-prem. Hosted. Your call.

On-Premise Installation

Mira runs on customer-controlled hardware. Sovereign-first routing enforced. Data never leaves your infrastructure. Ideal for regulated industries, financial services, pharma, and defense-adjacent clients who cannot send data off-prem under any circumstances.

Hosted via GlobalizeWe .io

Mira runs on GlobalizeWe's managed infrastructure through the .io platform. Same governance guarantees — identity-bound, receipt-generating, fail-closed. Lower cost entry point with the same security posture. Upgrade to on-prem anytime.

See what your data can become.

Request a proof of concept. Mira will assess your legacy assets and show you the path to future-ready — on your infrastructure.

Request a POCMeet Iris Meridian