Generative AI, personalized intelligent work dashboard with schedules and tasks
JANDI AI achieved 63% paid user conversion within 6 months of launch.
Toss Lab (CEO Daehyun Kim), which provides the business collaboration tool JANDI, has launched JANDI Home with enhanced AI functions.
The "JANDI" home page is a personalized, intelligent work dashboard that provides a quick overview of your work progress. Users can utilize the generative AI feature at any time, and for unread messages, the AI provides a summary by topic, allowing for quicker understanding. You can check your daily schedule and to-do list on a single screen, ensuring you never miss a single important task.
The "JANDI" home page promotes the use of generative AI. Work results from interacting with generative AI, such as drafting notices, translations, and terminology research, can be utilized within "JANDI." For example, drafting notices for members can be created and edited using AI, and then shared directly in the chat window, significantly accelerating communication and work progress.
“JANDI Home is an entry point where users can naturally immerse themselves in their work,” said Seo Jun-ho, Chief Technology Officer (CTO) in charge of the development of JANDI. “We will continue to develop JANDI Home into an Intelligence Hub by continuously adding new AI features utilizing the Model Context Protocol (MCP) that will be introduced in the future.”
Kim Dae-hyun, CEO of Toss Lab, said, “Since the official launch of ‘JANDI’ AI and Sprinkler in March, over 3,400 users from 130 companies have completed a proof of concept (PoC),” and “Currently, over 2,100 people have converted to paid users, achieving a paid conversion rate of 63%. Based on this performance, we have decided to provide a free trial of generative AI to all users.”
Going forward, all JANDI users will be able to utilize the JANDI Home app and unlimited access to generative AI features for a week. After the trial period, users can choose JANDI's highest paid plan to access all of Sprinklr's features, including a Retrieval-Augmented Generation (RAG)-based knowledge base that references the company's unique knowledge structure to provide more accurate answers.
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