AI-Powered Localization Tools for LSPs.

Aurix engineers production-ready translation, LQA, image localization, and data platforms — so your team focuses on language, not infrastructure.

Trusted by enterprise LSPs

Built for enterprise LSPs
15 localization-specialized engineers
6+ production tools shipped
AI-first from day one
End-to-end infrastructure ownership
CET timezone coverage
NDA-ready · enterprise-grade
MQM · HITL · MT post-edit
Built for enterprise LSPs
15 localization-specialized engineers
6+ production tools shipped
AI-first from day one
End-to-end infrastructure ownership
CET timezone coverage
NDA-ready · enterprise-grade
MQM · HITL · MT post-edit
Challenges

Building AI localization tools in-house is harder than it looks.

Three patterns we see in every LSP that tries to ship without specialist help.

Generic devs don't get it

Most agencies have never lived inside a localization workflow. You spend more time explaining TMs, MQM, and HITL than building — and the result still misses the mark.

Onboarding waste
4–6 wks

AI moves fast — backlog doesn't

LLMs, MT engines, and quality frameworks evolve monthly. Without dedicated AI engineering, your stack falls behind before it ships.

Stack drift
≈3 mo/quarter

Production is where it breaks

Prototypes are easy. Scaling to millions of segments, managing vendor workflows, and uptime across language pairs — that's where most builds fall apart.

Failure mode
scale
Why Aurix

We built the tools behind enterprise-grade AI localization.

Aurix is a specialist AI engineering team for the language services industry. We've shipped production tools for LQA, image localization, translation pipelines, and AI data collection. Now we bring that expertise to your stack.

Speak your language

Domain-Native

We know MQM, HITL, MT post-editing, and vendor workflows. Zero onboarding time on localization concepts.

MQMTMSCAT
Architected for LLMs

AI-First Engineering

Our tools are built around LLMs, OCR, computer vision, and human evaluation loops — for the way modern localization works.

LLMOCRHITL
Architecture → uptime

End-to-End Ownership

Architecture, infrastructure, DevOps, integrations, and ongoing maintenance — you own the product, we keep it running.

DevOpsCI/CDSLA

85% repeat-client rate — we work with a small number of LSPs to keep quality high.

Let's build together
Services

Every layer of your localization stack.

From custom tool development to full infrastructure ownership — we handle the tech so you focus on language.

Custom Translation Tools

TMS integrations, MT orchestration, post-editing platforms, and workflow automation — tailored to your pipeline.

MT EnginesTMS APIsXLIFF/TMX

LQA & MQM Platforms

AI-assisted Language Quality Assessment built on the MQM error taxonomy. Automate evaluation, reduce reviewer load.

MQM FrameworkAI Scoring

Image Localization Platforms

End-to-end image localization: OCR, text removal, AI translation, canvas-based vendor annotation, multi-format export.

OCRCanvas EditorVendor Workflow

AI Data Generation & Annotation

Platforms for preference data, binary evaluation, and domain-specific datasets for training your AI models.

Preference DataBinary EvalSummary Eval

Human-in-the-Loop Systems

HITL infrastructure connecting AI outputs to human reviewers — scoring, feedback loops, and model improvement pipelines.

HITLReviewer ScoringFeedback

Infrastructure & DevOps

From local dev to cloud production. CI/CD, AWS/GCP setup, API integrations, maintenance contracts.

AWS / GCPCI/CDMaintenance
Our Work

Built for production. Trusted at scale.

Tools built for enterprise clients · described without identifiers per NDA · full detail on a call.

Image Localization

AI Image Localization Platform

Full-stack platform: OCR, automated text removal, AI translation, canvas-based vendor annotation. Supports ZIP, Drive, and S3 ingestion with structured review workflows.

  • Multi-format export · ZIP · Drive · S3
  • Vendor annotation + reviewer scoring
  • Full audit trail · glossary support
ReactDjangoGoogle VisionOpenAIAWS S3
images/mo
12k+
Read the full case study
pixellingua.pipeline
4 stages · raster in / raster out
OCR
extract
Inpaint
remove
Translate
render
Compose
re-asset
LQA Automation

AI Language Quality Assessment

AI-powered LQA platform using MQM error taxonomy. Automated segment-level scoring with human override — production scale across multiple language pairs.

  • MQM-based AI scoring engine
  • Human-in-the-loop override flow
  • Segment-level error classification
PythonDjangoLLM IntegrationREST APIPostgreSQL
uptime
99.7%
Read the full case study
lqa.flow
2 ai · 4 human · 1 score
AI Layer
Finds
errors
Validates
verdict
Human Gate
R1
Reviewer 1
edit · reject
TR
Translator
accept · reject
R2
Reviewer 2
reconcile
AR
Arbitrator
final call
AI Data Pipelines

Data Generation & Annotation Suite

Multiple platforms: binary preference collection, HITL feedback loops, summary evaluation, and ecommerce-domain pipelines for training and evaluating AI translation.

  • Binary & preference annotation
  • Summary evaluation platform
  • Ecommerce domain datasets
ReactDjangoPostgreSQLPythonCelery
data tools
5+
Read the full case study
dataforge.suite
4 platforms · shared backend
Platforms
Binary
accept / reject
Preference
A vs B
Summary
long-form
Ecommerce
domain
Infrastructure
I1
Celery
async
I2
Postgres
versioned
HITL
drift loop
I4
REST API
model e2e
Voice Data Pipelines

Multilingual Voice Data Collection Platform

Six role-specific portals on one shared pipeline — live multi-speaker recording, media processing, two AI agents, two QC passes, annotation, and QA. Self-hosted WebRTC and self-hosted LLM, so voice data never leaves owned infrastructure.

  • 9-stage pipeline · audit-grade transitions
  • Two inline AI agents · eval-gated
  • Self-hosted LLM + WebRTC + storage
Next.jsDjangoCeleryMinIOWebRTCvLLM
language pairs
70+
Read the full case study
polyphony.pipeline
9 stages · 6 portals · 2 agents
Pipeline
Record
mesh P2P
Process
ffmpeg
QC1 + QC2
two-pass
Annotate
+ QA
AI Layer
Agent #5
pre-check
Agent #6
cross-val
A3
vLLM
Llama 3.3
Eval
concordance

Want technical depth + architecture diagrams?

Book a deep-dive call
Process

From discovery to deployment in weeks, not months.

01

Discovery

Week 1

We audit your current workflow, identify gaps, and scope the build. Clear picture of what needs to be built and why — before a single line of code.

Workflow auditScope briefRisk register
02

Architecture

Weeks 1–2

We design the system — stack, data model, integration points, and infrastructure plan. You approve the blueprint before we build.

System diagramData schemaAPI contract
03

Build

Weeks 2–8+

Iterative delivery with weekly demos. You see working software from day one — not a big-bang delivery at the end of a long sprint.

Weekly demoStaging envTest coverage
04

Deploy & Maintain

Ongoing

Production deployment, monitoring, and ongoing support. We don't hand off and disappear — we stay as your engineering partner.

Prod releaseMonitoringSLA support
Engagement models

Flexible engagement models

Project-based builds, dedicated retainer, or embedded team — we structure around what your LSP actually needs.

Fixed scopeRetainerEmbedded team
Discuss your needs
Technology

Built with the tools enterprise demands.

Four layers, one engine. We work with your existing infrastructure or recommend the right stack — no vendor lock-in.

Localization-core
Domain layer

Where most agencies stop. Where we start.

MQM FrameworkXLIFF / TMXTMS APIsCAT Tool IntegrationHITL Pipelines
20+
Tools
Across stack
5
Categories
Composed cleanly
0
Lock-in
Your infrastructure
100%
Yours
Code + IP transferred

Frontend

  • React
  • Next.js
  • TypeScript
  • Tailwind
  • Vite

Backend

  • Django REST
  • Python
  • PostgreSQL
  • Redis
  • Celery

AI / ML

  • OpenAI
  • GCV
  • MT
  • LLM Pipelines
  • Translate API

Infra

  • AWS
  • GCP
  • Docker
  • CI/CD
  • Nginx
Au
Aurix Stack
Composed end-to-end · no lock-in
Our team

The engineers behind Aurix

A small, senior team of localization, AI, and infrastructure engineers shipping production tools for the language industry.

Let's build

Ready to build your AI localization stack?

We work with a small number of LSP clients to keep quality high. If you're evaluating a tech partner — or have a specific tool in mind — let's talk. No commitment, just 30 minutes.

Response within 24 hours
NDA available on request
No commitment, just a conversation