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Supertext Tech Stack

AI-powered translation platform combining machine and human expertise

Translation and Localization Zürich, Zürich 51–200 employees Privately Held

Supertext operates a hybrid AI + human translation platform serving 1,500+ European companies. The stack reflects a modern ML-first infrastructure (Python, MLflow, Kubeflow, RAG, LLMs) layered atop established CAT tools (Trados, MemoQ, Lokalise), suggesting they're building proprietary AI features on top of industry standards rather than replacing them. Active projects around ML model optimization, ISO 27001 compliance, and core systems replacement indicate a company in mid-scale infrastructure transition—moving from traditional CAT-tool dependency toward a unified AI-powered platform while tightening security and DevOps maturity.

Tech Stack 16 technologies

Core StackKubernetes Python AWS MLflow Kubeflow Docker RAG Lokalise Transifex Trados MemoQ Azure Trados Studio Microsoft Office SDL Trados Studio GCP

What Supertext Is Building

◆Challenges

Localization of saas platform
Scaling tech platforms
Maintaining secure infrastructure
Optimizing machine translation output
Replacing core systems
Cross-functional transition
Scalability of ml systems
Optimizing ml models for product readiness
Expanding into international markets
Improving localization workflow

▲Active Projects

Multilingual product development
Localization of saas platform
Building new devops team
Developing iso 27001 isms
Optimizing machine translation output
Developing translation memory and terminology databases
Core systems replacement
New tech stack implementation
Ml model optimization and integration into saas platform
Developing ai-powered features using llms and rag

Hiring Activity

Decelerating8 roles · 2 in 30d

Department

Engineering

4

Ops

2

Linguistics

1

Sales

1

Seniority

Junior

4

Mid

2

Lead

1

Senior

1

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About Supertext

Supertext is a full-service language provider combining AI translation technology with a curated network of 3,000+ freelance linguists. The company serves European mid-market and enterprise customers across web, app, and campaign localization. Operations span Zürich and Berlin, with a team of over 100 specialists in AI, linguistics, and security. Revenue comes from both self-service adaptive translation and ISO-certified managed services. Current organizational focus centers on scaling the AI layer (ML model optimization, RAG integration), hardening infrastructure (ISO 27001), and modernizing core systems to support multilingual SaaS localization at scale.

HeadquartersZürich, Zürich

Company Size51–200 employees

Hiring MarketsSwitzerland, Germany

Frequently Asked Questions

What technology does Supertext use for translation?

Supertext uses Trados, MemoQ, and Lokalise for translation management, combined with Python-based ML infrastructure (MLflow, Kubeflow, RAG) for AI-powered features and machine translation optimization.