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Medical multi-agent system for clinical trial insights
Modulai built an anonymous, production-oriented multi-agent RAG solution that answers questions about clinical trial outcomes by retrieving evidence, running analysis, and returning results in the right format—text, visualizations, or aggregated downloads.
Modulai built an anonymous, production-oriented multi-agent RAG solution that answers questions about clinical trial outcomes by retrieving evidence, running analysis, and returning results in the right format—text, visualizations, or aggregated downloads.
Interpretable forecasting for major e-commerce checkout solution
Interpretable forecasting for major e-commerce checkout solution
Modulai developed a solution to identify high risk customers and enable proactive measures to reduce credit losses. By decomposing a complex problem into distinct subproblems and addressing each with different modeling approaches, noisy time series can be predicted in a robust and interpretable way. The resulting forecasts enable precise risk assessments which can help mitigate unnecessary risk exposure.
Generating Headlines at Scale: Adapting to Diverse Media Brands
Modulai collaborated with Expressen to enhance their AI-powered headline generation tool. By using previously published articles as examples, we developed a data-driven solution that generates headlines and subheadings tailored to each brand’s unique style and tonality. This approach is expected to yield even better results as more advanced language models become available, with minimal additional development efforts.
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Enhancing Drone Vision with Synthetic Data Generation
Modulai developed a synthetic data pipeline to help Synclair Vision train their drone-based camera system. By generating realistic aerial images and automated labels, we replaced slow, costly real-world data collection with a faster, more flexible solution.
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Highlight detection and automatic video editing for online game streamers
Modulai has built a object-detection based system for detecting highlights and memorable events in online gaming streams for automatic editing of dense highlight reels.
Modulai has built a object-detection based system for detecting highlights and memorable events in online gaming streams for automatic editing of dense highlight reels.
Read moreAI-generated imagery for Bonnier News
In collaboration with Bonnier News, we explored the use of generative AI for replacing stock photos in ad production.
Empowering Journalism with AI: Unlocking Podcast Insights
Modulai collaborated with Svenska Dagbladet to harness AI technology for transcribing and analyzing Swedish podcasts.
Chat-based data visualization solution for Mediatool
The solution provides a seamless experience in extracting and summarizing data through natural language queries in a chat interface that retrives needed information and visualizes it directly in the interface.
Mediatool initiated a project utilizing OpenAI’s chat models through few-shot learning to generate complex JSON structures for automatic data retrieval and visualization, based on input and feasibility study by Modulai. This allows customers to chat with an AI assistant in a user-friendly way to retrieve data for decision-making in seconds. Chat interface removes technological barriers for customers who can now use natural language to communicate with the platform.
AI powered shopping assistant for e-commerce
Based on discussions and feedback from multiple e-commerse platforms, we've developed an easily integratable shopping assistant that lets site visitors ask natural language questions about the product catalouge and get recent, relevant and actionable resposes in real-time.
In the highly competitive e-commerce industry, customer service plays a crucial role in sustaining and growing the business. Customers nowadays expect instantaneous, accurate, and personalized responses to their queries. Traditional customer service methods are no longer sufficient to meet the growing demands and expectations of the online shopping community. To bridge this gap, an AI-powered shopping assistant bot capable of understanding and navigating the vast product catalog and providing instant, relevant answers is a necessity.
Shot speed prediction using object tracking for Passion Football
The ICONS app by Passion Football lets football players of all levels develop their skills and challenge others. We developed a solution that uses the smartphone camera to track and accurately estimate a players shot speed.
With the app, users can access a variety of exercises that measure essential football skills. These exercises are designed to be both fun and interactive, while also providing analytical insights to the player and suggesting exercises that target and improve their weak areas.
