Tarjama operates a language AI platform focused on Arabic-language models and translation services across MENA. The tech stack emphasizes cloud infrastructure (Azure, AWS, GCP) with Kubernetes orchestration and observability (Prometheus, Grafana), suggesting a production-grade, multi-tenant SaaS foundation. Current hiring is heavily weighted toward engineering roles with senior-level dominance, while active projects span multimodal AI, RAG systems, and agentic workflows—indicating the company is shifting from translation-as-service toward AI-native product development. Pain-point clustering around lead conversion and SDR efficiency reveals a sales-led growth constraint despite product momentum.
Tarjama is a MENA-based language technology company founded in 2008, headquartered in Dubai with 201–500 employees. The business encompasses four core products: AMT (Arabic machine translation engine), CleverSo (translation management system), T-Portal (localization and content services platform), and FastScribe (transcription tool supporting 55+ languages). Beyond products, the company offers data annotation and AI model fine-tuning services. The customer base spans enterprise clients across the region, with sales and support teams active in Kuwait, Jordan, Lebanon, Egypt, Qatar, Saudi Arabia, and the UAE.
Tarjama uses Azure, AWS, and GCP for cloud infrastructure, with Kubernetes and Terraform for container orchestration and IaC. Observability relies on Prometheus and Grafana; backend services are built in Python, Java, Node.js, and PHP (Laravel, Yii). Testing uses Cypress, Playwright, and Selenium; CI/CD via Git, Jira, and ArgoCD.
Current priorities include multimodal AI development, agentic workflows, RAG systems, and production AI pipelines. The company is also building quality assurance frameworks and solution architecture capabilities to support enterprise RFPs and deal structures.
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