Our cases
- Industry
- Areas of AI
- Capabilities
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.
Deep Research Multi agent for a leading investment firm
In a world overwhelmed by information, our deep research system offers a new approach to document analysis—not by summarising, but by uncovering what’s missing. It identifies knowledge gaps, autonomously formulates questions, and investigates using external and internal sources. Powered by a ReAct-enabled agent, the system mimics a human researcher’s reasoning loop—asking, acting, and adapting to surface insights that otherwise remain hidden.
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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.
Read moreLeapfrog AI: LLM powered chat agent for supply chain design
A chat assistant that helps users interact with supply chain data using everyday language—no SQL or coding needed. It makes it easy to find answers, run scenarios, and export results, all through simple conversation.
Customizable and secure search and chat agent
Aiming for companies and use-cases that either can't risk compromize data security or need special adaptation, we've developed a modular platform to fill the gap between traditional SaaS solutions and custom development.
Based on the learnings from numerous projects over the past two years, we have developed a safe and isolated RAG solution for companies with needs beyond vanilla SaaS solutions.
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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.
