Translated Tech Stack

Human translation platform with AI-assisted workflows and 25 years of language expertise

Translation and Localization Rome, Latium 201–500 employees Privately Held

Translated operates a human-led translation service across 200+ languages, now integrating retrieval-augmented generation (RAG) into its core workflows. The stack reveals a dual engineering focus: containerized orchestration (Kubernetes, Docker Swarm) powering scale, plus Hugging Face and RAG tooling supporting AI-assisted translation and quality control. Hiring leans toward operations and sales (17 of 39 active roles), signaling growth in account management and delivery execution alongside the AI feature build.

Tech Stack 23 technologies

Core StackJava Python Asana Hugging Face Node.js TypeScript Docker Kubernetes MySQL Redis Kafka RAG Adobe Illustrator Figma After Effects Adobe Premiere Pro Matecat Docker Swarm Photoshop InDesign REST Google Workspace Google Sheets

AdoptingRAG

What Translated Is Building

◆Challenges

Large-scale localization program delivery
Meeting contractual requirements
Improving quality
Reducing churn
Expanding database coverage
Expanding talent database
Ensuring profitability of accounts
Information bottlenecks
Inefficient information flow
Lack of clear agendas

▲Active Projects

Human-in-the-loop ai translation integration
Implement retrieval-augmented generation pipelines
European sales plan
Dvps project
Enterprise integration connectors
Rag pipeline implementation
Sourcing ranking strategies improvement
Diversified resource database development
Language and service needs forecasting
Recruitment pipeline development

Hiring Activity

Steady40 roles · 15 in 30d

Department

Ops

Sales

Engineering

Product

Research

Design

Executive

Data

Seniority

Senior

Intern

Manager

Mid

Junior

Director

Lead

Notable leadership hires: Engineering Director

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About Translated

Translated is a Rome-based translation and localization company serving hundreds of thousands of clients with human translators across 200+ languages and 40 domains of expertise. The business combines professional translator networks with machine-assisted workflows (MT post-editing, translation memory, now RAG pipelines) to balance speed and quality. Active projects include human-in-the-loop AI translation integration and enterprise integration connectors, indicating a shift toward automating translation workflows while preserving translator involvement. The company funds Pi Campus, an in-house investment vehicle and working space for early-stage ventures.

HeadquartersRome, Latium

Company Size201–500 employees

Hiring MarketsItaly, United States, Bulgaria

Frequently Asked Questions

What tech stack does Translated use?

Java, Python, Kubernetes, Docker, Kafka, MySQL, Redis, Hugging Face, Matecat (proprietary), and REST APIs. Recently adopting RAG for translation pipelines. Design tools include Figma and Adobe Suite.

What is Translated working on?

Human-in-the-loop AI translation integration, RAG pipeline implementation, enterprise integration connectors, sourcing ranking improvements, and talent database expansion to support large-scale localization programs.