Multilingual EvalLLM ComparisonClient DataMulti-CloudHuman-Governed

Evaluate multilingual AI content
in the environments where it ships.

EKHO is a governed quality layer for multilingual content, LLM response comparison, and client data — running inside your cloud, private Kubernetes, or on-premise infrastructure with auditable evidence and human release authority at every step.

Deploys to your cloud (AWS, GCP, Azure)·Private infrastructure·Customer-controlled environment
ekho.quantryx.ai — AI Output Quality & Evaluation Platform
EKHO Evaluation Workbench — multilingual content quality, LLM comparison, image, audio, video, and device-context evaluation workflows
Multilingual & LLM
Text, image, audio, video — any modality
Evaluate AI-generated content across formats with MQM scoring and provider comparison.
Client Data
Designed for customer-controlled deployment and data residency requirements
Evaluate content against client data stored in your cloud or private server — third-party access is governed by deployment architecture and customer-approved integrations.
Human Release Authority
Evidence-backed, human-approved
Every release decision is traceable. Final approval stays with your team — EKHO never auto-certifies.
Device emulation

Every device.
Every language.

Reviewers see localized text exactly as it renders on real device hardware — before any string ships to production.

EKHO — Arabic localization on Smart Doorbell
Arabic
Smart Doorbell
EKHO — Spanish localization on Smart Display
Spanish
Smart Display
EKHO — Hindi localization on Smart Speaker
Hindi
Smart Speaker
EKHO — Portuguese localization on Thermostat
Portuguese
Thermostat
EKHO — Japanese localization on Smartwatch
Japanese
Smartwatch
EKHO — German localization on Smartwatch
German
Smartwatch
Deployment

Runs where
your data lives.

EKHO is containerized and Helm-deployed. AWS, Azure, and GCP deployments are supported. Private and self-managed deployment options are reviewed during implementation planning. Designed to support customer data residency and controlled deployment requirements.

Any major cloud
Managed Kubernetes · Object storage · Secrets manager
Private Kubernetes
Customer registry · PostgreSQL · Redis · local storage
Self-managed deployment
Docker Compose · customer-controlled infrastructure · reviewed during implementation
EKHOContainer images · Helm chartContainer imagesAPI · UI · Workers · SidecarsAny CloudManaged K8sObject storage · SecretsPrivate K8sCustomer registryPostgreSQL · RedisOn-PremiseDocker ComposeSelf-managedSAME BUILD · SAME HELM CHART · ANY ENVIRONMENT
Single Helm chart · Any cloud · Private Kubernetes · On-premise
Core surface

One workbench. Every modality.

The Evaluation Workbench is the central surface for multilingual content quality, LLM response comparison, image and video review, and device-context evaluation — without switching platforms.

  • Text from XLIFF, Android XML, iOS, JSON, CSV, SRT/VTT
  • Audio, Video, Image, and Device & Emulator workflows
  • Live LLM comparison before committing to a provider
EKHO Evaluation WorkbenchWorkbench
Provider comparison

Compare providers before you commit.

Run the same source content through multiple LLMs, MT engines, or localization providers and evaluate quality side by side — with configurable scorecards, terminology checks, and reviewer routing.

  • MQM-style scorecard scoring across providers
  • Glossary and policy validation per locale and domain
  • Provider disagreement and drift monitoring
  • HITL review routing for flagged items
EKHO Live Translation Test — provider comparisonLive Comparison
Visual quality review

Catch image errors before they ship.

Evaluate localized image artifacts with OCR extraction, region-level review, perceptual comparison, and policy redaction detection. Every reviewer decision is captured in an auditable evidence ledger.

  • OCR provider configuration per locale and workflow
  • Region type, writing direction, and policy redaction signals
  • Visual asset and text overlay quality review
  • Evidence capture with reviewer decision traceability
EKHO Image Quality ScorecardImage Scorecard
Device context

See strings in the device before release.

The Device & Emulator surface lets reviewers evaluate localized text in a visual device context — seeing exactly how strings render in layout before any string ships.

  • Device-context layout preview per locale
  • Source and provider output comparison
  • HITL review, evidence, and readiness signals
  • Human approval required — no auto-certification
EKHO Device & Emulator — German smartwatchDevice & Emulator
Video localization

Subtitle review with traceable evidence.

Review localized video and subtitle overlays through configurable scorecards covering timing, locale formatting, glossary compliance, and overlay quality.

  • Subtitle timing, locale format, and glossary compliance
  • Scorecard dimensions with Human Review Required flags
  • Overlay and visual quality review
  • Evidence and issue handoff per finding
EKHO Video Localization ScorecardVideo Localization
How it works

From AI output to release-ready evidence.

A governed, auditable workflow. Final release authority stays with your team at every step.

01 — Ingest
Source files or providers
Upload XLIFF, JSON, CSV, SRT/VTT, or connect your TMS, LLM pipeline, or MT provider.
02 — Evaluate
Automated quality checks
Scorecard scoring, glossary validation, provider comparison, and quality signal detection.
03 — Review
Human review queue
Route risk to qualified reviewers. Capture decisions, triage actions, and annotations.
04 — Evidence
Auditable ledger
Every signal, decision, and issue persisted. Export evidence bundles for audit or handoff.
05 — Release
Readiness reporting
Readiness reports surface to release owners. Final approval is always human-owned.
Who it's for

Built for localization, QA, and AI evaluation teams.

Primary users
  • Localization operations teams
  • Product localization teams
  • QA and content quality teams
  • AI evaluation teams
  • Enterprise AI platform teams
  • Media localization teams
  • Human reviewers, raters, and linguists
  • Compliance, security, and audit stakeholders
Buyer personas
  • VP or Director of Localization
  • VP or Director of Product Operations
  • VP or Director of AI Transformation
  • VP or Director of Global Content
  • VP or Director of Media Operations
  • Enterprise AI platform leader
  • Procurement and security stakeholder
Product principles

Governed by design, not patched in later.

Human approval boundary
EKHO generates quality signals and readiness reports. Final production release approval remains with human reviewers and enterprise release owners.
Evidence over appearance
Production features are backend-backed, tenant-scoped, auditable, and persisted. Mock data and frontend-only flows are not product truth.
Provider-neutral evaluation
EKHO evaluates outputs from any LLM, MT engine, TMS, or human editor. It is not a single-provider tool.
🔒
Tenant and role isolation
Identity, tenant ownership, RBAC, audit trails, and evidence provenance are first-class requirements. Enterprise SSO and directory integration reviewed during onboarding.
Honest modality boundaries
No surface claims device certification, medical approval, or human-native judgment it cannot provide.
Traceable readiness
Readiness reports carry quality signals, reviewer decisions, policy outcomes, and evidence bundles so release owners can decide with full context.

Ready to govern
every AI output?

Talk to the Quantryx team about how EKHO fits your localization, LLM evaluation, and AI quality workflows.

EKHO is an enterprise product by Quantryx. Email ekho@quantryx.ai for access and pricing.