Examples of effects such as a 40% reduction in investment judgment time and a 30% increase in the number of evaluated projects.
We would like to introduce a case study of the implementation of "Agens" for an investment fund VC partner. Before the implementation, the challenges included tracking the latest trends across multiple industries, conducting 10-15 startup meetings per week, and the time-consuming nature of continuous high-level decision-making. After the implementation, we utilized automated research and analysis features. This allowed us to reduce research time by 15 hours per week and shorten investment decision time by 40%. [Challenges/Time Consumption] ■ 10-15 startup meetings per week ■ Analysis of vast research reports ■ Tracking the latest trends across multiple industries ■ Continuous high-level decision-making *For more details, please download the PDF or feel free to contact us.
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【Implementation Effects/Time Reduction】 ■ 15 hours of survey time reduced per week ■ 40% reduction in investment decision time ■ 30% increase in the number of evaluated projects ■ Monthly equivalent value: 600,000 to 2,000,000 yen *For more details, please download the PDF or feel free to contact us.
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For more details, please download the PDF or feel free to contact us.
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Homula Inc. aims to fundamentally transform corporate productivity through the development and provision of the AI agent "Agens," which understands and executes business tasks related to daily business communications such as meetings, emails, and chats. We integrate multimodal information such as voice and text, allowing AI to autonomously process the "ToDos" that arise from daily communication. We provide an environment where the insights and judgments of talented personnel can be converted into knowledge assets and deployed across the organization as reproducible processes. In recent years, we have strengthened our collaboration with the globally recognized no-code automation platform "n8n." By combining the convenience of n8n, which allows for intuitive integration with business systems and SaaS, with Agens's natural language understanding and complex task execution capabilities, we are achieving a hybrid of user-friendly and advanced AI workflows in the field. From in-house business development by non-engineers to enterprise-level security compliance, data integration, and governance design, we support the entire process from Proof of Concept (PoC) starting in as little as two weeks to implementation, establishment, and self-sustainability.
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