Multi-Agent AI News & Research Curation Platform
Built an intelligent mobile platform that collects AI news and research from more than 70 sources, personalizes content for each user, and uses multi-agent workflows to automate content management.
AI professionals face an overwhelming volume of news, research, and technical content published across multiple sources every day. Manually collecting, reviewing, categorising, and summarising this information was time-consuming, costly, and difficult to scale. Users also required content tailored to their interests and level of expertise.
Our Solution
Developed a mobile application and backend content management system powered by classical machine learning, GenAI workflows, AI agents, and human-in-the-loop validation. The platform automatically sources, filters, classifies, tags, summarizes, and recommends content. It also generates supporting images and creates personalised feeds based on each user's interests, selected AI categories, and expertise level.
Measurable outcomes that mattered.
- Processes approximately 300–500 articles every day from more than 70 sources
- Maintains an average GenAI processing cost of approximately $0.30 per day
- Significantly reduces manual content-management effort
- Delivers relevant, accessible, and personalised AI knowledge to users
A scalable multi-agent content platform that transforms complex AI news and research into personalised, easy-to-consume insights.