AI-PoweredLocalizationTools,BuiltforLSPsThatCan'tWait.
Aurix engineers production-ready translation, LQA, image localization, and data platforms — so your team focuses on language, not infrastructure.
› the challenge / 01
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.
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.
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.
› why aurix / 02
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.
Domain-Native
// Speak your languageWe know MQM, HITL, MT post-editing, and vendor workflows. Zero onboarding time on localization concepts.
AI-First Engineering
// Architected for LLMsOur tools are built around LLMs, OCR, computer vision, and human evaluation loops — for the way modern localization works.
End-to-End Ownership
// Architecture → uptimeArchitecture, infrastructure, DevOps, integrations, and ongoing maintenance — you own the product, we keep it running.
› what we build / 03
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.
LQA & MQM Platforms
AI-assisted Language Quality Assessment built on the MQM error taxonomy. Automate evaluation, reduce reviewer load.
Image Localization Platforms
End-to-end image localization: OCR, text removal, AI translation, canvas-based vendor annotation, multi-format export.
AI Data Generation & Annotation
Platforms for preference data, binary evaluation, and domain-specific datasets for training your AI models.
Human-in-the-Loop Systems
HITL infrastructure connecting AI outputs to human reviewers — scoring, feedback loops, and model improvement pipelines.
Infrastructure & DevOps
From local dev to cloud production. CI/CD, AWS/GCP setup, API integrations, maintenance contracts.
› our work / 04
Built for production. Trusted at scale.
Tools built for enterprise clients · described without identifiers per NDA · full detail on a call.
› want technical depth + architecture diagrams?
Book a deep-dive call› how we work / 05
From discovery to deployment in weeks, not months.
Discovery
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.
Architecture
We design the system — stack, data model, integration points, and infrastructure plan. You approve the blueprint before we build.
Build
Iterative delivery with weekly demos. You see working software from day one — not a big-bang delivery at the end of a long sprint.
Deploy & Maintain
Production deployment, monitoring, and ongoing support. We don't hand off and disappear — we stay as your engineering partner.
Flexible engagement models
Project-based builds, dedicated retainer, or embedded team — we structure around what your LSP actually needs.
› technology / 06
Built with the tools enterprise demands.
Four orbiting layers, one engine. We work with your existing infrastructure or recommend the right stack — no vendor lock-in.
Where most agencies stop. Where we start.
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.