# Dcipher Analytics wins global AI challenge to develop advanced multilingual economic text analysis tools > Dcipher Analytics has been selected by Qatar’s Research, Development, and Innovation Council (QRDI) to develop a multilingual AI tool suite that extracts economic insights from English and Arabic text, advancing data-driven innovation in line with Qatar’s - URL: https://www.dcipheranalytics.com/press-room/dcipher-analytics-wins-global-ai-challenge-to-develop-advanced-multilingual-economic-text-analysis-tools - Published: 2025-11-12 - Updated: 2025-11-12 # Dcipher Analytics wins global AI challenge to develop advanced multilingual economic text analysis tools
**Stockholm / Doha, November 12, 2025.** Dcipher Analytics, a Nordic AI startup specializing in large-scale text intelligence and insight generation, has been selected by the Qatar Research, Development, and Innovation Council (QRDI) to develop a **Suite of Tools for Economic Analysis of English and Arabic Text and Documents**. The prize award is USD 100,000. The project, awarded through a global competition, attracted **over 30 startups and companies worldwide**. Dcipher Analytics was chosen for its advanced capability to synthesize insights from vast text corpora – including news, policy documents, and research reports – and to map emerging trends and signals relevant to strategic and economic decision-making. Under the program, Dcipher will collaborate with QRDI to deliver a proof-of-concept system, integrating multilingual natural language processing (NLP), sentiment analysis, and semantic modeling. The tools will enable daily, data-driven insights into economic developments and public discourse, supporting Qatar’s vision for evidence-based policy aligned with the **Qatar National Vision 2030.** *¨We’re honored to be selected in such a competitive field and to contribute to Qatar’s innovation agenda¨, said Mats Lindgren, CEO. ¨Our platform is designed to reveal early signals and deep context from complex text sources – capabilities that align perfectly with this initiative’s goals¨.* The pilot phase, scheduled for October 2025–February 2025, is intended to lead to a full-scale implementation agreement.