Qatar Partners with Scale AI To Enhance Government Services Using AI

The Qatar government announced a new partnership with the American company Scale AI to provide training and AI-powered tools to improve and modernize government services during the next five years.

According to the publication shared by Scale AI, the alliance has been led by the Ministry of Communication and Innovation Technolgy (MCIT) as part of Qatar’s National Development Strategy and the country’s Digital Agenda 2030.

Yesterday we announced a strategic, long-term partnership with @MCITQatar to drive Qatar’s digital transformation: https://t.co/CUvbmwxwPM

Together we will develop AI solutions that modernize government operations, enhance public services, and build a future-ready workforce.

— Scale AI (@scale_AI) February 24, 2025

During the first stage, the organizations will analyze opportunities to provide AI-powered solutions to enhance public services and also train “a future-ready workforce.”

Scale AI—founded in 2016—explains that companies expect to optimize and automate processes such as legal regulatory transactions, enhanced healthcare administration services, and urban planning, and even provide a more personalized education for citizens or strengthen financial systems in the long term.

According to Reuters, Scale AI will provide the Qatar government with 50 AI-powered solutions for process optimizations during the next 5 years.

“(This deal) can be a blueprint for other governments around the world, and it allows us to really commit in a way that I think could drive impact even faster,” said Trevor Thompson, global head of growth at the San Francisco, California-based company in an interview with Reuters. The details of the agreement’s value were not disclosed.

Scale AI has provided AI solutions to other companies such as Microsoft, Wall Street bank Morgan Stanley, and AI startups like Cohere and OpenAI. The AI firm has also worked in the public sector with the U.S. government and Meta adapting Llama to help security teams in multiple tasks.